Performance of Quadratic Time-Frequency Distributions in Blind Source Separation
نویسندگان
چکیده
Blind source separation based on time-frequency distributions (TFD’s) allows the separation of Gaussian sources with identical spectral shape but different t-f localization properties. As TFD’s spread noise power while localizing the source energy in the t-f domain, the time-frequency BSS is characterized by robustness of separation and improved overall performance. However, quadratic TFD’s, which are the most important class of TFD’s suitable for this approach, differ widely in resolution and their ability to reduce the cross-terms that disturb the signal interpretation. This paper investigates the performance of different time-frequency distributions on the blind separation of speech signals, linear FM signals (chirps) and non-linear FM signals.
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Bilinear signal synthesis in array processing
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