A technique of signal processing based on the blind source separation
Hongke Zhang · Shengxue jishu · 2005
Unknown independent sources from a given set of observed mixtures are recovered using a blind source separation technique. Time and frequency analysis on the separated signals is then conducted using Matlab toolboxes for time and frequency domain processing to extract diagnostic information, through which the expected signal is recognized, and characteristics of interference signals extracted.