Blind Source Separation by Time Frequency Masking of an Underdetermined System
A blind source separation (BSS) algorithm based on time frequency masking is presented here. The algorithm is suitable for sources that are sparse both in the time and frequency domains. The filtering is performed in two steps. In the first step, the signals are subjected to frequency domain filtering where the frequency compositions of the sources are modeled as a mixture of Gaussians. In the next step, the signal is further filtered in the time domain where certain high energy portions of the signals are removed. The success rate of the algorithm depends on the sparsity of the sources in the time and frequency domains. The algorithm has successfully separated foetal and mothers heartbeat sounds from a mixture. Only one sensor signal was used in the separation process.
Blind source separation time-frequency masking underdetermined system foetal heartbeat
Ranjan Acharyya Jürgen Flierl
Industrial Research Ltd 69 Gracefield Road Wellington, New Zealand University of Erlangen-Nuremberg Germany
国际会议
上海
英文
2228-2231
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）