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Table 1 Using different kernels, Gaussian, Polynomial and Hermite functions, the NL-decorrelation is applied on source and mixed signals

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 uniform PDF Instantaneous Kernel ‘Gaussian’ − 23.4 Kernel ‘Gaussien’ −5.8319
   Kernel ‘poly’ − 25.5 Kernel ‘poly’ 8.1
   Kernel ‘hermite’ − 22.4 Kernel ‘hermite’ −20.4
Four acoustic signals Instantaneous convolutive Kernel ‘poly’ − 33.4 Kernel ‘poly’ 3.2
2000 samples    Kernel ‘poly’ −14.9817
Four acoustic signals Instantaneous convolutive Kernel ‘poly’ − 31.3 Kernel ‘poly’ 8.8
4105 samples    Kernel ‘poly’ −13.2