BLIND SIGNAL SEPARATION BASED ON ME AND STATISTICAL ESTIMATION-中国期刊网

摘要 TherearetwomajorapproachesforBlindSignalSeparation(BSS)problem:MaximumEntropy(ME)andMinimumMutualInformation(MMI)algorithms.BasedontherecursivearchitectureandtherelationshipbetweentheMEandMMIalgorithms,anExtendedME(EME)algorithmisproposedbyusingprobabilitydensityfunction(pdf)estimationoftheoutputstodeducethecorrespondingiterativeformulasinBSS.Basedonthesimulationresults,itcanbeconcludedthattheproposedalgorithmhasbetterperformancesthanthetraditionalMEalgorithminconvolutemixtureBSSproblems.

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BLIND SIGNAL SEPARATION BASED ON ME AND STATISTICAL ESTIMATION

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BLIND SIGNAL SEPARATION BASED ON ME AND STATISTICAL ESTIMATION

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