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 |
4∗105 samples | Convolutive | Kernel ‘tanh’ −57.4885 |