Bayesian inference for inverse problems of signal and image

Bayesian inference for inverse problems of signal and image processing in acoustics ... Case studies: Deconvolution, Image restoration, Acoustic sources.
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Bayesian inference for inverse problems of signal and image processing in acoustics The content: - Examples of inverse problems arising in acoustics - Classical methods: Generalized inversion and Regularization - Basics of Bayesian approach - Full Bayesian for unsupervized methods - Different prior models: Generalizd Gaussian, Mixture models, Hierarchical models - Bayesian computation - Case studies: Deconvolution, Image restoration, Acoustic sources localization, Blind sources separation, Blind Deconvolution. - Matlab based demonstrations

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