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chow_algo.m

% Chow's Algorithm % ---------------- % This is based on the paper by Chow et al titled % % A Practical Discrete Multitone Transceiver Loading Algorithm % for Data Transmission over Spectrally Shaped

bpsk.m

function [symbols]=bpsk(data_block,model) % [symbols]=bpsk(data_block,model) % % Output: % symbols - Symbols mapped in signal-space (symbol-vector) % % Input: % data_block - Vector of data

chow_algo.m

% Chow's Algorithm % ---------------- % This is based on the paper by Chow et al titled % % A Practical Discrete Multitone Transceiver Loading Algorithm % for Data Transmission over Spectrally Shaped

sndblock.h

#ifndef Sndblock_h #define Sndblock_h struct sndblock // The smallest unit of sound { sndblock (int s, int b) : buf_(new short[s]), size_(s), bits_(b) {} sndblock (const sndblock& s

tinitwhite.m

function [T0,W,Ew,Wbsf,Ebsf,Ea,Ev,steps] = TinitWhite(r, walkers, newstate, X, cost, moveclass) % White temperature initialization method supplied with SA Tools. % Copyright (c) 2002, by Richard Fro

tinitt0.m

function [T0,W,Ew,Wbsf,Ebsf,Ea,Ev,steps] = TinitT0(r, walkers, newstate, X, cost, moveclass) % Fixed temperature initialization method supplied with SA Tools. % Copyright (c) 2002, by Richard Frost

randomwalk.m

function [W,Ew,Wbsf,Ebsf,Ea,Ev] = randomwalk(steps, walkers, newstate, X, cost, moveclass) % Random walk method supplied with SA Tools. % Copyright (c) 2002, by Richard Frost and Frost Concepts. %

simann.c

/* Copyright 2004 Demian Battaglia, Alfredo Braunstein, Michal Kolar, Michele Leone, Marc Mezard, Martin Weigt and Riccardo Zecchina This file is part of SPY (Survey Propagation with fini

analy_1c.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % analy_1c.m % % jmw and Dr. Hu % % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

analy_1c.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % analy_1c.m % % jmw and Dr. Hu % % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%