Sparse signal mixing model and application to noisy blind source separation

摘要

A computer-implemented method for blind-source separation includes capturing a mixed source signal by two or more sensors, transforming the mixed source signal from a time domain into a frequency domain, and estimating a mixing parameter of the mixed source signal. The method further includes determining a plurality of parameters of a source signal in the mixed source signal, separating the source signal from the mixed source signal under a sparsity constraint, transforming a separated source signal from the frequency domain into the time domain, and outputting the separated source signal.