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《Realization of Dual Adaptive Noise Cancellation Algorithm》
LIU Wei-dong;DING En-jie
2010, 30 (1):
96-98.
DOI: 10.3969/j.issn.1006-1355.2010.01.096
Extraction of the signals, which can represent sound source information and meanwhile include noise signals, from acoustic sensors is the key technique for sound emission monitoring. To eliminate the noise efficiently and raise the signaltonoise ratio, this paper brings up a dualadaptive noisecancellation algorithm, which includes adaptive subband decomposition algorithm and adaptive noise cancellation algorithm. First of all, to reduce the complexity in computation and realize parallel algorithm, the method of the subband decomposition, which matches the noise powerspectrum density, is adopted for nonuniform signal subband decomposition. Then, to save the computer time, the effective filtering is performed according to the distribution of noise in the subband. The subbands with lownoise or essentially without noise do not need filtering, while the adaptive filtering algorithm is used for the other subbands. The simulation shows that this method can greatly save computer time in comparison with the traditional adaptive noise cancellation method with uniform subbands, and the effect of filtering has been improved.
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