From 097884337bab3044061783bad42d07520acfdfcb Mon Sep 17 00:00:00 2001
From: denny <dennissheirer2002@yahoo.com>
Date: Mon, 11 Apr 2016 19:22:56 -0400
Subject: [PATCH] wip: adds filter viewer JavaFX utility application for
 visualizing filters designed through the filter factory.

---
 .project                                    |   6 +
 images/Curve-fitted-background.png          | Bin 0 -> 24754 bytes
 images/Curve-fitted-chart-background.png    | Bin 0 -> 91654 bytes
 images/Curve-fitted-graph-gridlines.png     | Bin 0 -> 152 bytes
 src/dsp/filter/FilterFactory.java           |  44 +-
 src/dsp/filter/GoertzelFilter.java          |   2 +-
 src/dsp/filter/Window.java                  |  87 ++-
 src/filter/Remez.java                       | 574 ++++++++++++++++++++
 src/filter/viewer/CurveFittedAreaChart.java | 207 +++++++
 src/filter/viewer/FilterView.css            |  39 ++
 src/filter/viewer/FilterView.java           | 168 ++++++
 src/filter/viewer/FilterViewer.java         |  27 +
 src/spectrum/DFTProcessor.java              |   2 +-
 13 files changed, 1100 insertions(+), 56 deletions(-)
 create mode 100644 images/Curve-fitted-background.png
 create mode 100644 images/Curve-fitted-chart-background.png
 create mode 100644 images/Curve-fitted-graph-gridlines.png
 create mode 100644 src/filter/Remez.java
 create mode 100644 src/filter/viewer/CurveFittedAreaChart.java
 create mode 100644 src/filter/viewer/FilterView.css
 create mode 100644 src/filter/viewer/FilterView.java
 create mode 100644 src/filter/viewer/FilterViewer.java

diff --git a/.project b/.project
index f65c4170..7accc076 100644
--- a/.project
+++ b/.project
@@ -5,6 +5,11 @@
 	<projects>
 	</projects>
 	<buildSpec>
+		<buildCommand>
+			<name>org.eclipse.xtext.ui.shared.xtextBuilder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
 		<buildCommand>
 			<name>org.eclipse.jdt.core.javabuilder</name>
 			<arguments>
@@ -13,5 +18,6 @@
 	</buildSpec>
 	<natures>
 		<nature>org.eclipse.jdt.core.javanature</nature>
+		<nature>org.eclipse.xtext.ui.shared.xtextNature</nature>
 	</natures>
 </projectDescription>
diff --git a/images/Curve-fitted-background.png b/images/Curve-fitted-background.png
new file mode 100644
index 0000000000000000000000000000000000000000..2085805889de522bd0a4ea9a4ce39cf7ea96172b
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diff --git a/images/Curve-fitted-graph-gridlines.png b/images/Curve-fitted-graph-gridlines.png
new file mode 100644
index 0000000000000000000000000000000000000000..648c4f9a78ac3145afa953d7ddcd6c5cd3f384ca
GIT binary patch
literal 152
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literal 0
HcmV?d00001

diff --git a/src/dsp/filter/FilterFactory.java b/src/dsp/filter/FilterFactory.java
index 8f6b0065..f73a0283 100644
--- a/src/dsp/filter/FilterFactory.java
+++ b/src/dsp/filter/FilterFactory.java
@@ -1,6 +1,6 @@
 /*******************************************************************************
  *     SDR Trunk 
- *     Copyright (C) 2014,2015 Dennis Sheirer
+ *     Copyright (C) 2014-2016,2015 Dennis Sheirer
  *
  *	   Root Raised Cosine filter designer:
  *	   Copyright 2002,2007,2008,2012,2013 Free Software Foundation, Inc.
@@ -35,9 +35,46 @@ import dsp.filter.cic.ComplexPrimeCICDecimate;
 
 public class FilterFactory
 {
-	private final static Logger mLog = 
-			LoggerFactory.getLogger( FilterFactory.class );
+	private final static Logger mLog = LoggerFactory.getLogger( FilterFactory.class );
 
+	public static final double TWO_PI = Math.pow( Math.PI, 2.0 );
+	
+	public static float[] getNewLowPass( int sampleRate, long passFrequency, long stopFrequency, 
+			int attenuation, WindowType window )
+	{
+		assert( passFrequency <= sampleRate / 2 );
+		
+		int length = getTapCount( sampleRate, passFrequency, stopFrequency, attenuation );
+		
+		if( length % 2 == 0 )
+		{
+			length++;
+		}
+		
+		float[] coefficients = new float[ length ];
+
+		int half = length / 2;
+		
+		int K = (int)( length * ( 2.0d * (double)passFrequency / (double) sampleRate ));
+		
+		double scale = 1.0 / (double)length;
+		
+		coefficients[ half ] = (float)( K / (double)length );
+		
+		for( int k = 1; k <= half; k++ )
+		{
+			float coefficient = (float)( scale * ( Math.sin( Math.PI * k * K / length ) /
+					  Math.sin( Math.PI * k / length ) ) );
+			
+			coefficients[ k + half ] = coefficient;
+			coefficients[ half - k ] = coefficient;
+		}
+		
+		Window.apply( WindowType.HANNING, coefficients );
+		
+		return coefficients;
+	}
+	
 	/**
 	 * Generates coefficients for a unity-gain, windowed low-pass filter
 	 * @param sampleRate - hertz
@@ -78,6 +115,7 @@ public class FilterFactory
 		}
 
 		//Apply the window against the coefficients
+		
 		coefficients = Window.apply( window, coefficients );
 
 		//Normalize to unity (1) gain
diff --git a/src/dsp/filter/GoertzelFilter.java b/src/dsp/filter/GoertzelFilter.java
index a421f912..c448beb2 100644
--- a/src/dsp/filter/GoertzelFilter.java
+++ b/src/dsp/filter/GoertzelFilter.java
@@ -32,7 +32,7 @@ public class GoertzelFilter
     private int mSampleRate;
     private long mTargetFrequency;
     private int mBlockSize;
-    private double[] mWindowCoefficients;
+    private float[] mWindowCoefficients;
 
     private double mCoefficient;
 
diff --git a/src/dsp/filter/Window.java b/src/dsp/filter/Window.java
index 72e846b4..5247b16b 100644
--- a/src/dsp/filter/Window.java
+++ b/src/dsp/filter/Window.java
@@ -19,6 +19,9 @@ package dsp.filter;
 
 import java.util.Arrays;
 
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
 /**
  * Window creator
  * 
@@ -33,7 +36,9 @@ import java.util.Arrays;
  */
 public class Window
 {
-    public static double[] getWindow( WindowType type, int length )
+	private final static Logger mLog = LoggerFactory.getLogger( Window.class );
+
+	public static float[] getWindow( WindowType type, int length )
     {
     	switch( type )
     	{
@@ -51,18 +56,18 @@ public class Window
     	}
     }
 
-    public static double[] getRectangularWindow( int length )
+    public static float[] getRectangularWindow( int length )
     {
-    	double[] coefficients = new double[ length ];
+    	float[] coefficients = new float[ length ];
 
-    	Arrays.fill( coefficients, 1.0d );
+    	Arrays.fill( coefficients, 1.0f );
     	
     	return coefficients;
     }
     
-    public static double[] getCosineWindow( int length )
+    public static float[] getCosineWindow( int length )
     {
-    	double[] coefficients = new double[ length ];
+    	float[] coefficients = new float[ length ];
 
 
     	if( length % 2 == 0 ) //Even length
@@ -71,7 +76,7 @@ public class Window
 
         	for( int x = -half; x < length / 2 + 1; x++ )
         	{
-    		    coefficients[ x + half ] = Math.cos( 
+    		    coefficients[ x + half ] = (float)Math.cos( 
     		    		( (double)x * Math.PI ) / ( (double)length + 1.0d ) );
         	}
     	}
@@ -81,7 +86,7 @@ public class Window
 
         	for( int x = -half; x < half + 1; x++ )
         	{
-    		    coefficients[ x + half ] = Math.cos( 
+    		    coefficients[ x + half ] = (float)Math.cos( 
     		    		( (double)x * Math.PI ) / ( (double)length + 1.0d ) );
         	}
     	}
@@ -89,62 +94,62 @@ public class Window
     	return coefficients;
     }
 
-    public static double[] getBlackmanWindow( int length )
+    public static float[] getBlackmanWindow( int length )
     {
-    	double[] coefficients = new double[ length ];
+    	float[] coefficients = new float[ length ];
     	
     	for( int x = 0; x < length; x++ )
     	{
-		    coefficients[ x ] = .426591D - 
+		    coefficients[ x ] = (float)( .426591D - 
     	    	  ( .496561D * Math.cos( ( Math.PI * 2.0D * (double)x ) / (double)( length - 1 ) ) +
-    	    	  ( .076848D * Math.cos( ( Math.PI * 4.0D * (double)x ) / (double)( length - 1 ) ) ) );
+    	    	  ( .076848D * Math.cos( ( Math.PI * 4.0D * (double)x ) / (double)( length - 1 ) ) ) ) );
     	}
 
     	return coefficients;
     }
     
-    public static double[] getHammingWindow( int length )
+    public static float[] getHammingWindow( int length )
     {
-    	double[] coefficients = new double[ length ];
+    	float[] coefficients = new float[ length ];
     	
     	if( length % 2 == 0 ) //Even length
     	{
         	for( int x = 0; x < length; x++ )
         	{
-    		    coefficients[ x ] = .54D - ( .46D * 
-		    		Math.cos( ( Math.PI * ( 2.0D * (double)x + 1.0d ) ) / (double)( length - 1 ) ) );
+    		    coefficients[ x ] = (float)( .54D - ( .46D * 
+		    		Math.cos( ( Math.PI * ( 2.0D * (double)x + 1.0d ) ) / (double)( length - 1 ) ) ) );
         	}
     	}
     	else //Odd length
     	{
         	for( int x = 0; x < length; x++ )
         	{
-    		    coefficients[ x ] = .54D - ( .46D * 
-    		    		Math.cos( ( 2.0D * Math.PI * (double)x ) / (double)( length - 1 ) ) );
+    		    coefficients[ x ] = (float)( .54D - ( .46D * 
+    		    		Math.cos( ( 2.0D * Math.PI * (double)x ) / (double)( length - 1 ) ) ) );
         	}
     	}
 
     	return coefficients;
     }
 
-    public static double[] getHanningWindow( int length )
+    public static float[] getHanningWindow( int length )
     {
-    	double[] coefficients = new double[ length ];
+    	float[] coefficients = new float[ length ];
 
     	if( length % 2 == 0 ) //Even length
     	{
         	for( int x = 0; x < length; x++ )
         	{
-    		    coefficients[ x ] = .5D - ( .5D * 
-    		    		Math.cos( ( Math.PI * ( 2.0D * (double)x + 1 ) ) / (double)( length - 1 ) ) );
+    		    coefficients[ x ] = (float)( .5D - ( .5D * 
+    		    		Math.cos( ( Math.PI * ( 2.0D * (double)x + 1 ) ) / (double)( length - 1 ) ) ) );
         	}
     	}
     	else //Odd length
     	{
         	for( int x = 0; x < length; x++ )
         	{
-    		    coefficients[ x ] = .5D - ( .5D * 
-    		    		Math.cos( ( 2.0D * Math.PI * (double)x ) / (double)( length - 1 ) ) );
+    		    coefficients[ x ] = (float)( .5D - ( .5D * 
+    		    		Math.cos( ( 2.0D * Math.PI * (double)x ) / (double)( length - 1 ) ) ) );
         	}
     	}
 
@@ -155,41 +160,21 @@ public class Window
     /**
      * Apply the window against an array of float-type samples
      */
-    public static float[] apply( double[] coefficients, float[] samples )
+    public static float[] apply( float[] windowCoefficients, float[] samples )
     {
-		for( int x = 0; x < coefficients.length; x++ )
+		for( int x = 0; x < windowCoefficients.length; x++ )
 		{
-		    samples[ x ] = (float)( samples[ x ] * coefficients[ x ] );
+		    samples[ x ] = samples[ x ] * windowCoefficients[ x ];
 		}
 		
 		return samples;
     }
-    
+
     public static float[] apply( WindowType type, float[] samples )
     {
-    	double[] coefficients = getWindow( type, samples.length );
+    	float[] windowCoefficients = getWindow( type, samples.length );
     	
-    	return apply( coefficients, samples );
-    }
-    
-    /**
-     * Apply the window against an array of float-type samples
-     */
-    public static double[] apply( double[] coefficients, double[] samples )
-    {
-		for( int x = 0; x < coefficients.length; x++ )
-		{
-		    samples[ x ] = samples[ x ] * coefficients[ x ];
-		}
-		
-		return samples;
-    }
-
-    public static double[] apply( WindowType type, double[] samples )
-    {
-    	double[] coefficients = getWindow( type, samples.length );
-    	
-    	return apply( coefficients, samples );
+    	return apply( windowCoefficients, samples );
     }
     
     
@@ -205,7 +190,7 @@ public class Window
 	/**
 	 * Utility to log the double arrays
 	 */
-	public static String arrayToString( double[] array, boolean breaks )
+	public static String arrayToString( float[] array, boolean breaks )
 	{
 		StringBuilder sb = new StringBuilder();
 		for( int x = 0; x < array.length; x++ )
diff --git a/src/filter/Remez.java b/src/filter/Remez.java
new file mode 100644
index 00000000..bc8b8b32
--- /dev/null
+++ b/src/filter/Remez.java
@@ -0,0 +1,574 @@
+
+/**************************************************************************
+ * Parks-McClellan algorithm for FIR filter design (C version)
+ *-------------------------------------------------
+ *  Copyright (C) 1995  Jake Janovetz (janovetz@coewl.cen.uiuc.edu)
+ *
+ *  This program is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU General Public License as published by
+ *  the Free Software Foundation; either version 2 of the License, or
+ *  any later version.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU General Public License for more details.
+ *
+ *  You should have received a copy of the GNU General Public License
+ *  along with this program; if not, write to the Free Software
+ *  Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
+ *
+ *************************************************************************/
+package filter;
+
+public class Remez 
+{
+
+
+  /* Converted to Java by Iain A Robin, June 1998 */
+	
+  /* changes by Hanns Holger Rutz, Jan 2010:
+   * 	needed to make method 'remez' public
+   */
+
+
+  public static final int BANDPASS       = 1;
+  public static final int DIFFERENTIATOR = 2;
+  public static final int HILBERT        = 3;
+
+  public static final int NEGATIVE       = 0;
+  public static final int POSITIVE       = 1;
+
+  public static final int GRIDDENSITY    = 16;
+  public static final int MAXITERATIONS  = 40;
+
+  double pi = Math.PI;
+  double pi2 = 2.0*pi;
+
+  int numtaps;
+
+  public Remez() 
+  {
+  }
+
+  /*******************
+   * createDenseGrid
+   *=================
+   * Creates the dense grid of frequencies from the specified bands.
+   * Also creates the Desired Frequency Response function (d[]) and
+   * the Weight function (w[]) on that dense grid
+   *
+   *
+   * INPUT:
+   * ------
+   * int      r        - 1/2 the number of filter coefficients
+   * int      numtaps  - Number of taps in the resulting filter
+   * int      numband  - Number of bands in user specification
+   * double[] bands    - User-specified band edges [2*numband]
+   * double[] des      - Desired response per band [numband]
+   * double[] weight   - Weight per band [numband]
+   * int      symmetry - Symmetry of filter - used for grid check
+   *
+   * OUTPUT:
+   * -------
+   * int    gridSize   - Number of elements in the dense frequency grid
+   * double[] grid     - Frequencies (0 to 0.5) on the dense grid [gridSize]
+   * double[] d        - Desired response on the dense grid [gridSize]
+   * double[] w        - Weight function on the dense grid [gridSize]
+   *******************/
+
+  void createDenseGrid(int r, int numtaps, int numband, double bands[],
+                       double des[], double weight[], int gridSize,
+                       double grid[], double d[], double w[],
+                       int symmetry) {
+    double lowf, highf;
+    double delf = 0.5/(GRIDDENSITY*r);
+
+    // For differentiator, hilbert,
+    //  symmetry is odd and grid[0] = max(delf, band[0])
+    if ((symmetry == NEGATIVE) && (delf > bands[0]))
+      bands[0] = delf;
+
+    int j=0;
+    int k;
+    for (int band=0; band < numband; band++) {
+      grid[j] = bands[2*band];
+      lowf = bands[2*band];
+      highf = bands[2*band + 1];
+      k = (int)Math.round((highf - lowf)/delf);
+      for (int i=0; i<k; i++) {
+        d[j] = des[band];
+        w[j] = weight[band];
+        grid[j] = lowf;
+        lowf += delf;
+        j++;
+      }
+      grid[j-1] = highf;
+    }
+
+    // Similar to above, if odd symmetry, last grid point can't be .5
+    // - but, if there are even taps, leave the last grid point at .5
+    if ((symmetry == NEGATIVE) &&
+        (grid[gridSize-1] > (0.5 - delf)) && ((numtaps % 2) != 0)) {
+          grid[gridSize-1] = 0.5-delf;
+    }
+  }
+
+  /********************
+   * initialGuess
+   *==============
+   * Places Extremal Frequencies evenly throughout the dense grid.
+   *
+   *
+   * INPUT:
+   * ------
+   * int r        - 1/2 the number of filter coefficients
+   * int gridSize - Number of elements in the dense frequency grid
+   *
+   * OUTPUT:
+   * -------
+   * int ext[]    - Extremal indexes to dense frequency grid [r+1]
+   ********************/
+
+  void initialGuess(int r, int ext[], int gridSize) {
+    for (int i=0; i<=r; i++) ext[i] = i * (gridSize-1) / r;
+  }
+
+
+  /***********************
+   * calcParms
+   *===========
+   *
+   *
+   * INPUT:
+   * ------
+   * int      r    - 1/2 the number of filter coefficients
+   * int[]    ext  - Extremal indexes to dense frequency grid [r+1]
+   * double[] grid - Frequencies (0 to 0.5) on the dense grid [gridSize]
+   * double[] d    - Desired response on the dense grid [gridSize]
+   * double[] w    - Weight function on the dense grid [gridSize]
+   *
+   * OUTPUT:
+   * -------
+   * double[] ad   - 'b' in Oppenheim & Schafer [r+1]
+   * double[] x    - [r+1]
+   * double[] y    - 'C' in Oppenheim & Schafer [r+1]
+   ***********************/
+
+  void calcParms(int r, int ext[], double grid[], double d[], double w[],
+                  double ad[], double x[], double y[]) {
+    double sign, xi, delta, denom, numer;
+
+    // Find x[]
+    for (int i=0; i<=r; i++) x[i] = Math.cos(pi2 * grid[ext[i]]);
+
+    // Calculate ad[]  - Oppenheim & Schafer eq 7.132
+    int ld = (r-1)/15 + 1;         // Skips around to avoid round errors
+    for (int i=0; i<=r; i++) {
+      denom = 1.0;
+      xi = x[i];
+      for (int j=0; j<ld; j++) {
+        for (int k=j; k<=r; k+=ld)
+          if (k != i) denom *= 2.0*(xi - x[k]);
+       }
+       if (Math.abs(denom)<0.00001) denom = 0.00001;
+       ad[i] = 1.0/denom;
+    }
+
+    // Calculate delta  - Oppenheim & Schafer eq 7.131
+    numer = denom = 0;
+    sign = 1;
+    for (int i=0; i<=r; i++) {
+      numer += ad[i] * d[ext[i]];
+      denom += sign * ad[i]/w[ext[i]];
+      sign = -sign;
+    }
+    delta = numer/denom;
+    sign = 1;
+
+    // Calculate y[]  - Oppenheim & Schafer eq 7.133b
+    for (int i=0; i<=r; i++) {
+      y[i] = d[ext[i]] - sign * delta/w[ext[i]];
+      sign = -sign;
+    }
+  }
+
+
+  /*********************
+   * computeA
+   *==========
+   * Using values calculated in CalcParms, ComputeA calculates the
+   * actual filter response at a given frequency (freq).  Uses
+   * eq 7.133a from Oppenheim & Schafer.
+   *
+   *
+   * INPUT:
+   * ------
+   * double   freq - Frequency (0 to 0.5) at which to calculate A
+   * int      r    - 1/2 the number of filter coefficients
+   * double[] ad   - 'b' in Oppenheim & Schafer [r+1]
+   * double[] x    - [r+1]
+   * double[] y    - 'C' in Oppenheim & Schafer [r+1]
+   *
+   * OUTPUT:
+   * -------
+   * Returns double value of A[freq]
+   *********************/
+
+  double computeA(double freq, int r, double ad[], double x[], double y[]) {
+
+    double c;
+    double numer = 0;
+    double denom = 0;
+    double xc = Math.cos(pi2 * freq);
+    for (int i=0; i<=r; i++) {
+      c = xc - x[i];
+      if (Math.abs(c) < 1.0e-7) {
+        numer = y[i];
+        denom = 1;
+        break;
+      }
+      c = ad[i]/c;
+      denom += c;
+      numer += c*y[i];
+    }
+    return numer/denom;
+  }
+
+
+  /************************
+   * calcError
+   *===========
+   * Calculates the Error function from the desired frequency response
+   * on the dense grid (d[]), the weight function on the dense grid (w[]),
+   * and the present response calculation (A[])
+   *
+   *
+   * INPUT:
+   * ------
+   * int      r        - 1/2 the number of filter coefficients
+   * double[] ad       - [r+1]
+   * double[] x        - [r+1]
+   * double[] y        - [r+1]
+   * int      gridSize - Number of elements in the dense frequency grid
+   * double[] grid     - Frequencies on the dense grid [gridSize]
+   * double[] d        - Desired response on the dense grid [gridSize]
+   * double[] w        - Weight function on the desnse grid [gridSize]
+   *
+   * OUTPUT:
+   * -------
+   * double[] e        - Error function on dense grid [gridSize]
+   ************************/
+
+  void calcError(int r, double ad[], double x[], double y[],
+                   int gridSize, double grid[],
+                   double d[], double w[], double e[]) {
+    double A;
+    for (int i=0; i<gridSize; i++) {
+      A = computeA(grid[i], r, ad, x, y);
+      e[i] = w[i] * (d[i] - A);
+    }
+  }
+
+  /************************
+   * search
+   *========
+   * Searches for the maxima/minima of the error curve.  If more than
+   * r+1 extrema are found, it uses the following heuristic (thanks
+   * Chris Hanson):
+   * 1) Adjacent non-alternating extrema deleted first.
+   * 2) If there are more than one excess extrema, delete the
+   *    one with the smallest error.  This will create a non-alternation
+   *    condition that is fixed by 1).
+   * 3) If there is exactly one excess extremum, delete the smaller
+   *    of the first/last extremum
+   *
+   *
+   * INPUT:
+   * ------
+   * int      r        - 1/2 the number of filter coefficients
+   * int[]    ext      - Indexes to grid[] of extremal frequencies [r+1]
+   * int      gridSize - Number of elements in the dense frequency grid
+   * double[] e        - Array of error values.  [gridSize]
+   *
+   * OUTPUT:
+   * -------
+   * int[]    ext      - New indexes to extremal frequencies [r+1]
+   ************************/
+
+  void search(int r, int ext[], int gridSize, double e[]) {
+    boolean up, alt;
+    int[] foundExt = new int[gridSize];  /* Array of found extremals */
+    int k = 0;
+    // Check for extremum at 0.
+    if (((e[0]>0.0) && (e[0]>e[1])) || ((e[0]<0.0) && (e[0]<e[1])))
+      foundExt[k++] = 0;
+
+    // Check for extrema inside dense grid
+    for (int i=1; i<gridSize-1; i++) {
+      if (((e[i]>=e[i-1]) && (e[i]>e[i+1]) && (e[i]>0.0)) ||
+          ((e[i]<=e[i-1]) && (e[i]<e[i+1]) && (e[i]<0.0)))
+            foundExt[k++] = i;
+    }
+
+    // Check for extremum at 0.5
+    int j = gridSize-1;
+    if (((e[j]>0.0) && (e[j]>e[j-1])) || ((e[j]<0.0) && (e[j]<e[j-1])))
+      foundExt[k++] = j;
+
+    // Remove extra extremals
+    int extra = k - (r+1);
+    int l;
+    while (extra > 0) {
+      up = e[foundExt[0]] > 0.0;
+      // up = true -->  first one is a maximum
+      // up = false --> first one is a minimum
+      l=0;
+      alt = true;
+      for (j=1; j<k; j++) {
+        if (Math.abs(e[foundExt[j]]) < Math.abs(e[foundExt[l]]))
+          l = j;               // new smallest error.
+        if (up && (e[foundExt[j]] < 0.0))
+            up = false;             // switch to a minima
+        else if (!up && (e[foundExt[j]] > 0.0))
+            up = true;             // switch to a maxima
+        else {
+          alt = false;
+          break;              // Ooops, found two non-alternating
+        }                     // extrema.  Delete smallest of them
+      }  // if the loop finishes, all extrema are alternating
+
+      // If there's only one extremal and all are alternating,
+      // delete the smallest of the first/last extremals.
+      if (alt && (extra == 1)) {
+        if (Math.abs(e[foundExt[k-1]]) < Math.abs(e[foundExt[0]]))
+          l = foundExt[k-1];   // Delete last extremal
+        else
+          l = foundExt[0];     // Delete first extremal
+      }
+
+      for (j=l; j<k; j++)      // Loop that does the deletion
+        foundExt[j] = foundExt[j+1];
+      k--;
+      extra--;
+    }
+    //  Copy found extremals to ext[]
+    for (int i=0; i<=r; i++) ext[i] = foundExt[i];
+  }
+
+
+  /*********************
+   * freqSample
+   *============
+   * Simple frequency sampling algorithm to determine the impulse
+   * response h[] from A's found in ComputeA
+   *
+   *
+   * INPUT:
+   * ------
+   * int      N        - Number of filter coefficients
+   * double[] A        - Sample points of desired response [N/2]
+   * int      symmetry - Symmetry of desired filter
+   *
+   * OUTPUT:
+   * -------
+   * double[] h        - Impulse Response of final filter [N]
+   *********************/
+  double[] freqSample(double A[], int symm) {
+    double x, val;
+    int N = numtaps;
+    double M = (N-1.0)/2.0;
+    double[] h = new double[N];
+    if (symm == POSITIVE) {
+      if (N%2 != 0) {
+         for (int n=0; n<N; n++) {
+           val = A[0];
+           x = pi2 * (n - M)/N;
+           for (int k=1; k<=M; k++) val += 2.0 * A[k] * Math.cos(x*k);
+           h[n] = val/N;
+         }
+      }
+      else {
+        for (int n=0; n<N; n++) {
+          val = A[0];
+          x = pi2 * (n - M)/N;
+          for (int k=1; k<=(N/2-1); k++) val += 2.0 * A[k] * Math.cos(x*k);
+          h[n] = val/N;
+        }
+      }
+    }
+    else {
+      if (N%2 != 0) {
+        for (int n=0; n<N; n++) {
+          val = 0;
+          x = pi2 * (n - M)/N;
+          for (int k=1; k<=M; k++) val += 2.0 * A[k] * Math.sin(x*k);
+          h[n] = val/N;
+        }
+      }
+      else {
+        for (int n=0; n<N; n++) {
+          val = A[N/2] * Math.sin(pi * (n - M));
+          x = pi2 * (n - M)/N;
+          for (int k=1; k<=(N/2-1); k++) val += 2.0 * A[k] * Math.sin(x*k);
+          h[n] = val/N;
+        }
+      }
+    }
+    return h;
+  }
+
+  /*******************
+   * isDone
+   *========
+   * Checks to see if the error function is small enough to consider
+   * the result to have converged.
+   *
+   * INPUT:
+   * ------
+   * int      r   - 1/2 the number of filter coeffiecients
+   * int[]    ext - Indexes to extremal frequencies [r+1]
+   * double[] e   - Error function on the dense grid [gridSize]
+   *
+   * OUTPUT:
+   * -------
+   * Returns true if the result converged
+   * Returns false if the result has not converged
+   ********************/
+
+  boolean isDone(int r, int ext[], double e[]) {
+
+    double min, max, current;
+    min = max = Math.abs(e[ext[0]]);
+    for (int i=1; i<=r; i++){
+      current = Math.abs(e[ext[i]]);
+      if (current < min) min = current;
+      if (current > max) max = current;
+    }
+    if (((max-min)/max) < 0.0001) return true;
+    return false;
+  }
+
+  /********************
+   * remez
+   *=======
+   * Calculates the optimal (in the Chebyshev/minimax sense)
+   * FIR filter impulse response given a set of band edges,
+   * the desired reponse on those bands, and the weight given to
+   * the error in those bands.
+   *
+   * INPUT:
+   * ------
+   * int      numtaps - Number of filter coefficients
+   * int      numband - Number of bands in filter specification
+   * double[] bands   - User-specified band edges [2 * numband]
+   * double[] des     - User-specified band responses [numband]
+   * double[] weight  - User-specified error weights [numband]
+   * int      type    - Type of filter
+   *
+   * OUTPUT:
+   * -------
+   * double[] h       - Impulse response of final filter [numtaps]
+   ********************/
+
+  public double[] remez(int n,
+               double bands[], double des[], double weight[], int type) {
+
+    double c;
+    numtaps = n;
+    int symmetry = (type == BANDPASS)? POSITIVE : NEGATIVE;
+    int r = numtaps/2;   // number of extrema
+    if ((numtaps%2 != 0) && (symmetry == POSITIVE)) r++;
+
+    // Predict dense grid size in advance for array sizes
+    int gridSize = 0;
+    int numband = des.length;
+    for (int i=0; i<numband; i++) {
+      gridSize += (int)Math.round(2*r*GRIDDENSITY*(bands[2*i+1] - bands[2*i]));
+    }
+    if (symmetry == NEGATIVE) gridSize--;
+
+    double[] grid = new double[gridSize];
+    double[] d    = new double[gridSize];
+    double[] w    = new double[gridSize];
+    double[] e    = new double[gridSize];
+    double[] x    = new double[r+1];
+    double[] y    = new double[r+1];
+    double[] ad   = new double[r+1];
+    double[] taps = new double[r+1];
+    int[]    ext  = new int[r+1];
+
+    // Create dense frequency grid
+    createDenseGrid(r, numtaps, numband, bands, des, weight,
+                     gridSize, grid, d, w, symmetry);
+    initialGuess(r, ext, gridSize);
+
+    // For Differentiator: (fix grid)
+    if (type == DIFFERENTIATOR) {
+      for (int i=0; i<gridSize; i++) {
+        if (d[i] > 0.0001) w[i] /= grid[i];
+      }
+    }
+
+    // For odd or Negative symmetry filters, alter the
+    // d[] and w[] according to Parks McClellan
+    if (symmetry == POSITIVE) {
+      if (numtaps % 2 == 0) {
+        for (int i=0; i<gridSize; i++) {
+          c = Math.cos(pi * grid[i]);
+          d[i] /= c;
+          w[i] *= c;
+        }
+      }
+    }
+    else {
+      if (numtaps % 2 != 0) {
+        for (int i=0; i<gridSize; i++) {
+          c = Math.sin(pi2 * grid[i]);
+          d[i] /= c;
+          w[i] *= c;
+        }
+      }
+      else {
+        for (int i=0; i<gridSize; i++) {
+          c = Math.sin(pi * grid[i]);
+          d[i] /= c;
+          w[i] *= c;
+        }
+      }
+    }
+
+    // Perform the Remez Exchange algorithm
+    int iter;
+    for (iter=0; iter<MAXITERATIONS; iter++) {
+      calcParms(r, ext, grid, d, w, ad, x, y);
+      calcError(r, ad, x, y, gridSize, grid, d, w, e);
+      search(r, ext, gridSize, e);
+      if (isDone(r, ext, e)) break;
+    }
+    if (iter == MAXITERATIONS) {
+      System.out.println("Reached maximum iteration count.\nResults may be bad.\n");
+    }
+
+    calcParms(r, ext, grid, d, w, ad, x, y);
+
+    // Find the 'taps' of the filter for use with Frequency
+    // Sampling.  If odd or Negative symmetry, fix the taps
+    // according to Parks McClellan
+    for (int i=0; i<=numtaps/2; i++) {
+      if (symmetry == POSITIVE) {
+        if (numtaps%2 != 0) c = 1;
+        else c = Math.cos(pi * (double)i/numtaps);
+      }
+      else {
+        if (numtaps%2 != 0) c = Math.sin(pi2 * (double)i/numtaps);
+        else c = Math.sin(pi * (double)i/numtaps);
+      }
+      taps[i] = computeA((double)i/numtaps, r, ad, x, y)*c;
+    }
+    // Frequency sampling design with calculated taps
+    return freqSample(taps, symmetry);
+
+  }
+
+}
diff --git a/src/filter/viewer/CurveFittedAreaChart.java b/src/filter/viewer/CurveFittedAreaChart.java
new file mode 100644
index 00000000..6b28ecf9
--- /dev/null
+++ b/src/filter/viewer/CurveFittedAreaChart.java
@@ -0,0 +1,207 @@
+package filter.viewer;
+
+import javafx.collections.ObservableList;
+import javafx.geometry.Point2D;
+import javafx.scene.Group;
+import javafx.scene.chart.AreaChart;
+import javafx.scene.chart.NumberAxis;
+import javafx.scene.chart.XYChart;
+import javafx.scene.shape.ClosePath;
+import javafx.scene.shape.CubicCurveTo;
+import javafx.scene.shape.LineTo;
+import javafx.scene.shape.MoveTo;
+import javafx.scene.shape.Path;
+import javafx.scene.shape.PathElement;
+import javafx.util.Pair;
+
+public class CurveFittedAreaChart extends AreaChart<Number, Number>
+{
+
+	public CurveFittedAreaChart( NumberAxis xAxis, NumberAxis yAxis )
+	{
+		super( xAxis, yAxis );
+	}
+
+	@Override
+	protected void layoutPlotChildren()
+	{
+		super.layoutPlotChildren();
+		for ( int seriesIndex = 0; seriesIndex < getDataSize(); seriesIndex++ )
+		{
+			final XYChart.Series<Number, Number> series = getData()
+					.get( seriesIndex );
+			final Path seriesLine = (Path) ( (Group) series.getNode() )
+					.getChildren().get( 1 );
+			final Path fillPath = (Path) ( (Group) series.getNode() )
+					.getChildren().get( 0 );
+			smooth( seriesLine.getElements(), fillPath.getElements() );
+		}
+	}
+
+	private int getDataSize()
+	{
+		final ObservableList<XYChart.Series<Number, Number>> data = getData();
+		return ( data != null ) ? data.size() : 0;
+	}
+
+	private static void smooth( ObservableList<PathElement> strokeElements,
+			ObservableList<PathElement> fillElements )
+	{
+		// as we do not have direct access to the data, first recreate the list
+		// of all the data points we have
+		final Point2D[] dataPoints = new Point2D[ strokeElements.size() ];
+		for ( int i = 0; i < strokeElements.size(); i++ )
+		{
+			final PathElement element = strokeElements.get( i );
+			if ( element instanceof MoveTo )
+			{
+				final MoveTo move = (MoveTo) element;
+				dataPoints[ i ] = new Point2D( move.getX(), move.getY() );
+			} else if ( element instanceof LineTo )
+			{
+				final LineTo line = (LineTo) element;
+				final double x = line.getX(), y = line.getY();
+				dataPoints[ i ] = new Point2D( x, y );
+			}
+		}
+		// next we need to know the zero Y value
+		final double zeroY = ( (MoveTo) fillElements.get( 0 ) ).getY();
+		// now clear and rebuild elements
+		strokeElements.clear();
+		fillElements.clear();
+		Pair<Point2D[], Point2D[]> result = calcCurveControlPoints(
+				dataPoints );
+		Point2D[] firstControlPoints = result.getKey();
+		Point2D[] secondControlPoints = result.getValue();
+		// start both paths
+		strokeElements.add(
+				new MoveTo( dataPoints[ 0 ].getX(), dataPoints[ 0 ].getY() ) );
+		fillElements.add( new MoveTo( dataPoints[ 0 ].getX(), zeroY ) );
+		fillElements.add(
+				new LineTo( dataPoints[ 0 ].getX(), dataPoints[ 0 ].getY() ) );
+		// add curves
+		for ( int i = 1; i < dataPoints.length; i++ )
+		{
+			final int ci = i - 1;
+			strokeElements
+					.add( new CubicCurveTo( firstControlPoints[ ci ].getX(),
+							firstControlPoints[ ci ].getY(),
+							secondControlPoints[ ci ].getX(),
+							secondControlPoints[ ci ].getY(),
+							dataPoints[ i ].getX(), dataPoints[ i ].getY() ) );
+			fillElements.add( new CubicCurveTo( firstControlPoints[ ci ].getX(),
+					firstControlPoints[ ci ].getY(),
+					secondControlPoints[ ci ].getX(),
+					secondControlPoints[ ci ].getY(), dataPoints[ i ].getX(),
+					dataPoints[ i ].getY() ) );
+		}
+		// end the paths
+		fillElements.add( new LineTo(
+				dataPoints[ dataPoints.length - 1 ].getX(), zeroY ) );
+		fillElements.add( new ClosePath() );
+	}
+
+	/**
+	 * Calculate open-ended Bezier Spline Control Points.
+	 */
+	public static Pair<Point2D[], Point2D[]> calcCurveControlPoints(
+			Point2D[] dataPoints )
+	{
+		Point2D[] firstControlPoints;
+		Point2D[] secondControlPoints;
+		int n = dataPoints.length - 1;
+		if ( n == 1 )
+		{ // Special case: Bezier curve should be a straight line.
+			firstControlPoints = new Point2D[ 1 ];
+			// 3P1 = 2P0 + P3
+			firstControlPoints[ 0 ] = new Point2D(
+					( 2 * dataPoints[ 0 ].getX() + dataPoints[ 1 ].getX() ) / 3,
+					( 2 * dataPoints[ 0 ].getY() + dataPoints[ 1 ].getY() )
+							/ 3 );
+
+			secondControlPoints = new Point2D[ 1 ];
+			// P2 = 2P1 – P0
+			secondControlPoints[ 0 ] = new Point2D(
+					2 * firstControlPoints[ 0 ].getX() - dataPoints[ 0 ].getX(),
+					2 * firstControlPoints[ 0 ].getY()
+							- dataPoints[ 0 ].getY() );
+			return new Pair<Point2D[], Point2D[]>( firstControlPoints,
+					secondControlPoints );
+		}
+
+		// Calculate first Bezier control points
+		// Right hand side vector
+		double[] rhs = new double[ n ];
+
+		// Set right hand side X values
+		for ( int i = 1; i < n - 1; ++i )
+		{
+			rhs[ i ] = 4 * dataPoints[ i ].getX()
+					+ 2 * dataPoints[ i + 1 ].getX();
+		}
+		rhs[ 0 ] = dataPoints[ 0 ].getX() + 2 * dataPoints[ 1 ].getX();
+		rhs[ n - 1 ] = ( 8 * dataPoints[ n - 1 ].getX()
+				+ dataPoints[ n ].getX() ) / 2.0;
+		// Get first control points X-values
+		double[] x = GetFirstControlPoints( rhs );
+
+		// Set right hand side Y values
+		for ( int i = 1; i < n - 1; ++i )
+		{
+			rhs[ i ] = 4 * dataPoints[ i ].getY()
+					+ 2 * dataPoints[ i + 1 ].getY();
+		}
+		rhs[ 0 ] = dataPoints[ 0 ].getY() + 2 * dataPoints[ 1 ].getY();
+		rhs[ n - 1 ] = ( 8 * dataPoints[ n - 1 ].getY()
+				+ dataPoints[ n ].getY() ) / 2.0;
+		// Get first control points Y-values
+		double[] y = GetFirstControlPoints( rhs );
+
+		// Fill output arrays.
+		firstControlPoints = new Point2D[ n ];
+		secondControlPoints = new Point2D[ n ];
+		for ( int i = 0; i < n; ++i )
+		{
+			// First control point
+			firstControlPoints[ i ] = new Point2D( x[ i ], y[ i ] );
+			// Second control point
+			if ( i < n - 1 )
+			{
+				secondControlPoints[ i ] = new Point2D(
+						2 * dataPoints[ i + 1 ].getX() - x[ i + 1 ],
+						2 * dataPoints[ i + 1 ].getY() - y[ i + 1 ] );
+			} else
+			{
+				secondControlPoints[ i ] = new Point2D(
+						( dataPoints[ n ].getX() + x[ n - 1 ] ) / 2,
+						( dataPoints[ n ].getY() + y[ n - 1 ] ) / 2 );
+			}
+		}
+		return new Pair<Point2D[], Point2D[]>( firstControlPoints,
+				secondControlPoints );
+	}
+
+	/**
+	 * Solves a tridiagonal system for one of coordinates (x or y) of first
+	 * Bezier control points.
+	 */
+	private static double[] GetFirstControlPoints( double[] rhs )
+	{
+		int n = rhs.length;
+		double[] x = new double[ n ]; // Solution vector.
+		double[] tmp = new double[ n ]; // Temp workspace.
+		double b = 2.0;
+		x[ 0 ] = rhs[ 0 ] / b;
+		for ( int i = 1; i < n; i++ )
+		{// Decomposition and forward substitution.
+			tmp[ i ] = 1 / b;
+			b = ( i < n - 1 ? 4.0 : 3.5 ) - tmp[ i ];
+			x[ i ] = ( rhs[ i ] - x[ i - 1 ] ) / b;
+		}
+		for ( int i = 1; i < n; i++ )
+		{
+			x[ n - i - 1 ] -= tmp[ n - i ] * x[ n - i ]; // Backsubstitution.
+		}
+		return x;
+	}
+}
\ No newline at end of file
diff --git a/src/filter/viewer/FilterView.css b/src/filter/viewer/FilterView.css
new file mode 100644
index 00000000..f5ef3421
--- /dev/null
+++ b/src/filter/viewer/FilterView.css
@@ -0,0 +1,39 @@
+/* ....Show License.... */
+.chart {
+    -fx-background-image: url("../../../images/Curve-fitted-background.png");
+    -fx-padding: 15 25 15 15;
+}
+.chart-plot-background {
+    -fx-background-color: red;
+    -fx-background-image: url("../../../images/Curve-fitted-chart-background.png"), 
+                url("../../../images/Curve-fitted-graph-gridlines.png");
+    -fx-background-size: cover, auto;
+    -fx-background-repeat: no-repeat, repeat;
+    -fx-background-position: 0% 0%, 0% 100%;
+    -fx-border-color: black black transparent transparent;
+}
+.chart-area-symbol {
+    -fx-background-color: white;
+}
+.chart-series-area-line { 
+    -fx-stroke: white; 
+    -fx-stroke-width: 2px; 
+}
+.chart-series-area-fill { 
+    -fx-fill: linear-gradient(to right, white, rgba(255,255,255,0)); 
+    -fx-blend-mode: OVERLAY;
+}
+.axis {
+    -fx-tick-mark-visible: false;
+    -fx-minor-tick-visible: false;
+    -fx-tick-length: 3;
+    -fx-minor-tick-length: 0;
+    -fx-border-color: transparent;
+    -fx-tick-label-fill: white;
+}
+.axis:bottom {
+    -fx-border-color: black transparent transparent transparent;
+}
+.axis:left {
+    -fx-border-color: transparent black transparent transparent;
+}
\ No newline at end of file
diff --git a/src/filter/viewer/FilterView.java b/src/filter/viewer/FilterView.java
new file mode 100644
index 00000000..883acf3c
--- /dev/null
+++ b/src/filter/viewer/FilterView.java
@@ -0,0 +1,168 @@
+package filter.viewer;
+
+import org.jtransforms.fft.FloatFFT_1D;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import dsp.filter.FilterFactory;
+import dsp.filter.Window.WindowType;
+import javafx.collections.ObservableList;
+import javafx.scene.chart.NumberAxis;
+import javafx.scene.chart.XYChart;
+import javafx.scene.chart.XYChart.Series;
+import javafx.scene.layout.BorderPane;
+import javafx.scene.layout.HBox;
+import javafx.scene.layout.Priority;
+
+public class FilterView extends BorderPane
+{
+	private final static Logger mLog = LoggerFactory.getLogger( FilterView.class );
+
+	private CurveFittedAreaChart mImpulseChart;
+	private NumberAxis mImpulseXAxis;
+	private NumberAxis mImpulseYAxis;
+	private CurveFittedAreaChart mDFTChart;
+	private NumberAxis mDFTXAxis;
+	private NumberAxis mDFTYAxis;
+	private static final int FFT_SIZE = 4096;
+	private FloatFFT_1D mFFT = new FloatFFT_1D( FFT_SIZE );
+	
+	public FilterView()
+	{
+		init();
+
+		float[] taps = FilterFactory.getNewLowPass( 8000, 1500, 2500, 50, WindowType.HANNING );
+
+		setImpulseTaps( taps );
+		
+		float[] dft = new float[ FFT_SIZE ];
+		System.arraycopy( taps, 0, dft, 0, taps.length );
+		
+		mFFT.realForward( dft );
+		
+		setDFTTaps( convertDFTToDecibel( dft, taps.length ) );
+	}
+	
+	private void logTaps( float[] taps )
+	{
+		StringBuilder sb = new StringBuilder();
+		sb.append( "\n" );
+		
+		for( float tap: taps )
+		{
+			sb.append( "Tap: " + tap + "\n" );
+		}
+		
+		mLog.debug( sb.toString() );
+	}
+	
+	private void init()
+	{
+		HBox hbox = new HBox();
+		
+		mImpulseXAxis = new NumberAxis( 0.0, 0.5, 1.0 );
+		mImpulseYAxis = new NumberAxis( -0.2, 1.2, .1 );
+		
+		mImpulseChart = new CurveFittedAreaChart( mImpulseXAxis, mImpulseYAxis );
+		mImpulseChart.setLegendVisible( false );
+		mImpulseChart.setHorizontalGridLinesVisible( false );
+		mImpulseChart.setVerticalGridLinesVisible(false);
+        mImpulseChart.setAlternativeColumnFillVisible(false);
+        mImpulseChart.setAlternativeRowFillVisible(false);
+        
+        String css = FilterView.class.getResource( "FilterView.css" ).toExternalForm();
+        mImpulseChart.getStylesheets().add( css );
+
+        hbox.getChildren().add( mImpulseChart );
+        HBox.setHgrow( mImpulseChart, Priority.ALWAYS );
+        
+		mDFTXAxis = new NumberAxis( 0.0, FFT_SIZE / 2, FFT_SIZE / 8 );
+		mDFTYAxis = new NumberAxis( -200.0, 10.0, 10.0 );
+		
+		mDFTChart = new CurveFittedAreaChart( mDFTXAxis, mDFTYAxis );
+		mDFTChart.setLegendVisible( false );
+		mDFTChart.setHorizontalGridLinesVisible( false );
+		mDFTChart.setVerticalGridLinesVisible(false);
+        mDFTChart.setAlternativeColumnFillVisible(false);
+        mDFTChart.setAlternativeRowFillVisible(false);
+        mDFTChart.getStylesheets().add( css );
+        
+        hbox.getChildren().add( mDFTChart );
+        HBox.setHgrow( mDFTChart, Priority.ALWAYS );
+
+        setCenter( hbox );
+	}
+	
+	public void setImpulseTaps( float[] taps )
+	{
+		double smallest = 0.0;
+		double largest = 0.0;
+		
+        final XYChart.Series<Number, Number> series = new XYChart.Series<>();
+        
+        for( int x = 0; x < taps.length; x++ )
+        {
+        	if( taps[ x ] < smallest )
+			{
+        		smallest = taps[ x ];
+			}
+        	
+        	if( taps[ x ] > largest )
+        	{
+        		largest = taps[ x ];
+        	}
+
+        	series.getData().add( new XYChart.Data<Number, Number>( x, taps[ x ] ) );
+        }
+        
+        mImpulseXAxis.setLowerBound( 0.0 );
+        mImpulseXAxis.setUpperBound( taps.length - 1 );
+        mImpulseXAxis.setTickUnit( 1.0 );
+        
+        double padding = Math.abs( largest - smallest ) * .1;
+        
+        mImpulseYAxis.setLowerBound( smallest - padding );
+        mImpulseYAxis.setUpperBound( largest + padding );
+        mImpulseYAxis.setTickUnit( padding );
+
+        ObservableList<Series<Number,Number>> list = mImpulseChart.getData();
+        list.add( series );
+	}
+	
+	public void setDFTTaps( float[] taps )
+	{
+		double smallest = 0.0;
+		
+        final XYChart.Series<Number, Number> series = new XYChart.Series<>();
+        
+        for( int x = 0; x < taps.length; x++ )
+        {
+        	if( taps[ x ] < smallest )
+			{
+        		smallest = taps[ x ];
+			}
+        	
+        	series.getData().add( new XYChart.Data<Number, Number>( x, taps[ x ] ) );
+        }
+        
+        ObservableList<Series<Number,Number>> list = mDFTChart.getData();
+        list.add( series );
+	}
+	
+    public float[] convertDFTToDecibel( float[] dft, int tapLength )
+    {
+		float[] decibels = new float[ dft.length / 2 ];
+
+		int index = 0;
+		
+		for( int x = 0; x < decibels.length; x ++ )
+		{
+			index = x * 2;
+			
+			decibels[ x ] = 20.0f * (float)Math.log10( ( ( dft[ index ] * dft[ index ] ) + 
+				  ( dft[ index + 1 ] * dft[ index + 1 ] ) ) );
+		}
+
+		return decibels;
+    }
+}
diff --git a/src/filter/viewer/FilterViewer.java b/src/filter/viewer/FilterViewer.java
new file mode 100644
index 00000000..31035233
--- /dev/null
+++ b/src/filter/viewer/FilterViewer.java
@@ -0,0 +1,27 @@
+package filter.viewer;
+
+import javafx.application.Application;
+import javafx.scene.Scene;
+import javafx.stage.Stage;
+
+public class FilterViewer extends Application
+{
+	public FilterViewer()
+	{
+	}
+	
+	@Override
+	public void start( Stage primaryStage ) throws Exception
+	{
+		Scene scene = new Scene( new FilterView() );
+		
+		primaryStage.setTitle( "Filter Viewer" );
+		primaryStage.setScene( scene );
+		primaryStage.show();
+	}
+	
+	public static void main( String[] args )
+	{
+		launch( args );
+	}
+}
diff --git a/src/spectrum/DFTProcessor.java b/src/spectrum/DFTProcessor.java
index a90c432d..d092a459 100644
--- a/src/spectrum/DFTProcessor.java
+++ b/src/spectrum/DFTProcessor.java
@@ -72,7 +72,7 @@ public class DFTProcessor implements Listener<ComplexBuffer>,
 	private DFTSize mDFTSize = DFTSize.FFT04096;
 	private DFTSize mNewDFTSize = DFTSize.FFT04096;
 	
-	private double[] mWindow;
+	private float[] mWindow;
 	
 	/* The Cosine and Hanning windows seem to offer the best spectral display
 	 * with minimal bin leakage/smearing */