Model-Based Expectation-Maximization Source Separation and Localization

Blind source separation with time series variational Bayes expectation maximization algorithm

Article history: Available online 8 October 2010

Concurrent Cognitive Mapping and Localization Using Expectation Maximization Thesis

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Bayesian Source Separation and Localization

The problem of mixed signals occurs in many different contexts; one of the most familiar being acoustics. The forward problem in acoustics consists of finding the sound pressure levels at various detectors resulting from sound signals emanating from the active acoustic sources. The inverse problem consists of using the sound recorded by the detectors to separate the signals and recover the orig...

Sound Source Localization and Separation

People face the problem of sound source localization and separation in situations where they attempt to localize and focus on a source of sound among a dissonance of conversations and background noise. This paper synthesizes a sound source localization routine. We utilize a general source separation technique, Independent Component Analysis.. Particularly, basic ICA was applied to separate mixt...

Expectation Maximization