Channel noise estimation using particle based belief propagation for ldpc decoding in awgn and bsc in matlab

The following Matlab project contains the source code and Matlab examples used for channel noise estimation using particle based belief propagation for ldpc decoding in awgn and bsc. Channel Noise Estimation or correlation estimation for distributed source coding Using Particle based Belief Propagation for LDPC decoding in AWGN and BSC models.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
demo001_AWGN.m 2886
demo001_BSC.m 2770
JavaBPForMatlab.jar 13643
DenEvl_11.deg 93
DenEvl_15.deg 111
DenEvl_20.deg 168
DenEvl_7.deg 51
DenEvl_9.deg 63
loadPCHK.m 1906
PEG.exe 36352
Reg3_6_1000.dat 13693
Reg3_6_10000.dat 166698
Reg_2.deg 8
Reg_3.deg 8
BigGirth.cpp 16129
BigGirth.h 1079
CodeName 2783
CyclesOfGraph.cpp 6620
CyclesOfGraph.h 851
DenEvl_11.deg 93
DenEvl_15.deg 111
DenEvl_20.deg 168
DenEvl_7.deg 51
DenEvl_9.deg 63
irReg504252.dat 8865
leftHandGirth.log 32516
MainPEG.cpp 9395
Makefile 662
PEG32.exe 36352
PEGx64.exe 41472
Random.cpp 1704
Random.h 493
Reg3_6_1000.dat 13693
Reg3_6_10000.dat 166698
Reg_2.deg 8
Reg_3.deg 8
test.vcproj 7309
test.vcproj.XXXXPC.benben.user 1482
test.vcproj.XXXXPC.wsasyz.user 2615
test.sln 1231
test.suo 13824
PEG.exe 41472
PEG.pdb 453632
BPDecoder.java 7612
BPLrMessageArrayType.java 237
ChannelType.java 202
PCHKType.java 580
SparseArrayType.java 482
Util.java 801
initializeJava.m 675
progressBar.m 1678
sigma2snr.m 675
snr2sigma.m 703
demo001_PBP_AWGN_BSC.m 10469
JavaPBPForMatlab.jar 26357
generateChannelNoise.m 1950
generateSource.m 1371
getChannelNoiseModel.m 936
getConnectionMap.m 1073
getEstimationResultsPBP.m 1796
getPriorDistributionParams.m 1725
setChannelType.m 767
setParameterEstimator.m 814
plotEstimation.m 898
Arrays.m 4924
invgampdf.m 1700
sinspace.m 764
test_Java_beta_invGamma_Distribution.m 2352
license.txt 1311
readme.txt 787

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