Blind Source Separation

The objective of blind source separation (BSS) is to separate the unknown source signals from their mixtures, and in some cases, to estimate the unknown mixing channels. BSS achieves this by using only the information available within the mixtures observed at the output of each channel, with little or no knowledge about the source signals and mixing channel. BSS has numerous potential applications in areas such as audio, speech, music, image, video, biomedical, and communication signal processing, including enhancement and recognition.