A SIGNAL-ADAPTIVE ALGORITHM FOR BLIND SEPARATION OF SOURCES WITH MIXED KURTOSIS SIGNS-中国期刊网

摘要 ThispaperaddressestheproblemofBlindSourceSeparation(BSS)andpresentsanewBSSalgorithmwithaSignal-AdaptiveActivation(SAA)function(SAA-BSS).Bytakingthesumofabsolutevaluesofthenormalizedkurtosesasacontrastfunction,theobtainedsignal-adaptiveactivationfunctionautomaticallysatisfiesthelocalstabilityandrobustnessconditions.TheSAA-BSSexploitsthenaturalgradientlearningontheStiefelmanifold,anditisanequivariantalgorithmwithamoderatecomputationalload.ComputersimulationsshowthattheSAA-BSScanperformblindseparationofmixedsub-Gaussianandsuper-Gaussiansignalsanditworksmoreefficientlythantheexistingalgorithmsinconvergencespeedandrobustnessagainstoutliers.

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A SIGNAL-ADAPTIVE ALGORITHM FOR BLIND SEPARATION OF SOURCES WITH MIXED KURTOSIS SIGNS

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A SIGNAL-ADAPTIVE ALGORITHM FOR BLIND SEPARATION OF SOURCES WITH MIXED KURTOSIS SIGNS

来源期刊

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