/* * Copyright (C) 2009-2016,2018 by Jonathan Naylor G4KLX * * Copyright (C) 2018 by Edouard Griffiths F4EXB: * - Cosmetic changes to integrate with DSDcc * * Copyright (C) 2018 by Louis HERVE F4HUZ: * - Transform C++ lib into C lib to integrate with DSD * * 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 * (at your option) 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. */ /* Include ------------------------------------------------------------------*/ #include #include #include #include #include /* Define -------------------------------------------------------------------*/ /* Global variables ---------------------------------------------------------*/ static const uint8_t CNXDNConvolution_BIT_MASK_TABLE[8] = {0x80U, 0x40U, 0x20U, 0x10U, 0x08U, 0x04U, 0x02U, 0x01U}; #define WRITE_BIT1(p,i,b) p[(i)>>3] = (b) ? (p[(i)>>3] | CNXDNConvolution_BIT_MASK_TABLE[(i)&7]) : (p[(i)>>3] & ~CNXDNConvolution_BIT_MASK_TABLE[(i)&7]) #define READ_BIT1(p,i) (p[(i)>>3] & CNXDNConvolution_BIT_MASK_TABLE[(i)&7]) static const uint8_t CNXDNConvolution_BRANCH_TABLE1[8] = {0U, 0U, 0U, 0U, 2U, 2U, 2U, 2U}; static const uint8_t CNXDNConvolution_BRANCH_TABLE2[8] = {0U, 2U, 2U, 0U, 0U, 2U, 2U, 0U}; static const unsigned int CNXDNConvolution_NUM_OF_STATES_D2 = 8U; static const uint32_t CNXDNConvolution_M = 4U; static const unsigned int CNXDNConvolution_K = 5U; //NOTE: uint16_t m_metrics1[16]; uint16_t m_metrics2[16]; uint64_t m_decisions[8*300]; uint16_t * m_oldMetrics = NULL; uint16_t * m_newMetrics = NULL; uint64_t * m_dp = NULL; /* Functions ----------------------------------------------------------------*/ void CNXDNConvolution_decode(uint8_t s0, uint8_t s1) { uint8_t i = 0; uint8_t j = 0; uint8_t decision0 = 0; uint8_t decision1 = 0; uint16_t metric = 0; uint16_t m0 = 0; uint16_t m1 = 0; uint16_t * tmp = NULL; *m_dp = 0U; for (i = 0U; i < CNXDNConvolution_NUM_OF_STATES_D2; i++) { j = i * 2U; metric = abs(CNXDNConvolution_BRANCH_TABLE1[i] - s0) + abs(CNXDNConvolution_BRANCH_TABLE2[i] - s1); m0 = m_oldMetrics[i] + metric; m1 = m_oldMetrics[i + CNXDNConvolution_NUM_OF_STATES_D2] + (CNXDNConvolution_M - metric); decision0 = (m0 >= m1) ? 1U : 0U; m_newMetrics[j + 0U] = decision0 != 0U ? m1 : m0; m0 = m_oldMetrics[i] + (CNXDNConvolution_M - metric); m1 = m_oldMetrics[i + CNXDNConvolution_NUM_OF_STATES_D2] + metric; decision1 = (m0 >= m1) ? 1U : 0U; m_newMetrics[j + 1U] = decision1 != 0U ? m1 : m0; *m_dp |= ((uint64_t)(decision1) << (j + 1U)) | ((uint64_t)(decision0) << (j + 0U)); } ++m_dp; //assert((m_dp - m_decisions) <= 300); tmp = m_oldMetrics; m_oldMetrics = m_newMetrics; m_newMetrics = tmp; } void CNXDNConvolution_chainback(unsigned char* out, unsigned int nBits) { //assert(out != 0); uint32_t state = 0U; uint32_t i = 0; uint8_t bit = 0; while (nBits-- > 0) { --m_dp; i = state >> (9 - CNXDNConvolution_K); bit = (uint8_t)(*m_dp >> i) & 1; state = (bit << 7) | (state >> 1); WRITE_BIT1(out, nBits, bit != 0U); } } void CNXDNConvolution_encode(const unsigned char* in, unsigned char* out, unsigned int nBits) { //assert(in != 0); //assert(out != 0); //assert(nBits > 0U); uint8_t g1 = 0U; uint8_t g2 = 0U; uint8_t d = 0U; uint8_t d1 = 0U; uint8_t d2 = 0U; uint8_t d3 = 0U; uint8_t d4 = 0U; uint32_t k = 0U; unsigned int i = 0U; for (i = 0U; i < nBits; i++) { d = READ_BIT1(in, i) ? 1U : 0U; g1 = (d + d3 + d4) & 1; g2 = (d + d1 + d2 + d4) & 1; d4 = d3; d3 = d2; d2 = d1; d1 = d; WRITE_BIT1(out, k, g1 != 0U); k++; WRITE_BIT1(out, k, g2 != 0U); k++; } } void CNXDNConvolution_start(void) { m_oldMetrics = m_metrics1; m_newMetrics = m_metrics2; m_dp = m_decisions; } void CNXDNConvolution_init() { memset(m_metrics1, 0xFF, 16*sizeof(uint16_t)); memset(m_metrics2, 0xFF, 16*sizeof(uint16_t)); // memset(m_decisions,0xFF, 8*300*sizeof(uint64_t)); }