基于奇异值分解的聚类分析, 最小相关准则, 波形恢复, 独立分量分析, 小波包分解

A new method for acoustical sources waveform restoral was proposed, by the joint use of ICA and WPD.First, the number of incoherent sources in a mixing system was estimated by clustering analysis based on singular value decomposition. Furthermore, original multi-channel acoustical observations were dimensionally reduced according to minimum correlation criterion. Then, independent source components

were primarily extracted from the reduced observations, by the ICA based redundancy reduction. Finally, WPD technique was applied to denoise the extracted source signals. Thus, multiple mixed acoustical sources were separated and their waveforms were restored. Experimental results indicate that the new ICA-WPD based method enable effective separation and correct waveform restoral of acoustical source signals which are mixed and corrupted by strong additive noise, and establishment of a solid base for some succedent applications such as acoustical sources recognition and acoustic diagnostic, etc.

clustering analysis based on singular value decomposition;minimum correlation criterion;waveform