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Table 2 Simplified NL-decorrelation applied on source and mixed signals using different kernels

From: Enhancement of acoustic tomography using spatial and frequency diversities

Signals Mixture model NL-decorrelation of sources NL-decorrelation of mixed signals
i.i.d   Kernel ‘Gaussian’ − 66.3211 Kernel ‘Gaussian’ −40.6513
Uniform PDF Instantaneous Kernel ‘poly’ −49.2054 Kernel ‘poly’ −6.6205
uniform   Kernel ‘atan’ −63.2202 Kernel ‘atan’ −0.0802
   Kernel ‘tanh’ −52.5625 Kernel ‘tanh’ 0.1597
Four acoustic signals Instantaneous Kernel ‘atan’ −40.7142 Kernel ‘atan’ 1.5864
2000 samples Convolutive   Kernel ‘atan’ −31.8532
Four acoustic signals Instantaneous Kernel ‘tanh’ −86.6931 Kernel ‘tanh’ 1.0391
4105 samples Convolutive   Kernel ‘tanh’ −57.4885