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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