Model-Based Scene Analysis
نویسنده
چکیده
The general problem of separating multiple sources mixed into a single channel is illposed; in order to solve it, additional constraints must be applied. One very general class of constraints is prior knowledge of the source signals: limitations on the waveforms possible for each source can disambiguate the mixture since there may only be one set of ‘legal’ source signals that would add together to give the observed mixture. A particularly attractive aspect of this approach is that models themselves may be learned from the environment by generalizing across observations of isolated sources. This chapter examines the general idea of using models in source separation including looking at what form these models can take and how they can be acquired, and describes examples of several systems which can be described within this
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