Blind Signal Separation (1997)
Abstract / truncated to 115 words
The separation of independent sources from mixed observed data is a fundamental and challenging signal processing problem. In many practical situations, one or more desired signals need to be recovered from the mixtures only. A typical example is speech recordings made in an acoustic environment in the presence of background noise and/or competing speakers. Other examples include EEG signals, passive sonar applications and cross-talk in data communications. The audio signal separation problem is sometimes referred to as The Cocktail Party Problem. When several people in the same room are conversing at the same time, it is remarkable that a person is able to choose to concentrate on one of the speakers and listen to his ...
Information
- Author
- Chan, Dominic C. B.
- Institution
- University of Cambridge
- Supervisor
- Publication Year
- 1997
- Upload Date
- July 3, 2008
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