Channel Noise Estimation Using Particle based Belief Propagation for LDPC decoding in AWGN and BSC by Shuang Wang

Channel Noise Estimation Using Particle based Belief Propagation for LDPC decoding in AWGN and BSC (distributed source co..., channel noise estimat..., channel coding)

[source_x, source_y] =generateSource(channelType_java, true...

[trueChannelNoise, inputChannelNoise] =generateChannelNoise...

getChannelNoiseModel(channelType_java)

Hierarchical Kalman Filter for clinical time series prediction by Shuang Wang

It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. (belief propagation, bp, message passing)

EMConvergence(msg, varNode, ts_data, numLevels)

EMForMultiScaleKalmanFilter(msg, varNode, belief, ts_data, ...

GaussianDivision(G1, G2)

Java implantation of LDPC decoding with Matlab interface for both AWGN and BSC by Shuang Wang

This is a Java implantation of LDPC decoding with Matlab interface for both AWGN and BSC channels (ldpc decoding, belief propagation, bp)

initializeJava(javaPath)

loadPCHK( pegFile)

progressBar(h, currentPos, maxPos)

This is an implementation of (7,4) hamming code using belief propagation by Shuang Wang

An implementation of (7,4) hamming code using belief propagation (hamming code, belief propagation, channel coding messag...)

fun1(y, x, p)

fun2(x1, x2)

sumMsg(x, edgeIDArray, messageV2F, jV)

Implementations of Kalman Filter using both message passing algorithm and standard matrix operations by Shuang Wang

This is a demo of using message passing algorithm (belief propagation) to implement Kalman Filter. (kalman filter, belief propagation, message passing)

GaussianMultiply(G1, G2)

eyeInf(len)

initializeMessage(T, mu_0, V_0, d_x, y, B, V_W)

SumProductLab for Factor Graphs by Henry Leung

This is an platform for experiments with factor graphs. (markov random field, hidden markov, bayesian network)