Abstract
Signal processing is applied in virtually all areas of modern acoustics to extract, classify, and/or quantify relevant information from acoustic measurements. Methods range from classical approaches based on Fourier and time-frequency analysis, to array signal processing, feature extraction, computational auditory scene analysis, and Bayesian inference, which incorporates physical models of the acoustic system under investigation together with advanced sampling techniques. This talk highlights new approaches to signal processing recently applied in a broad variety of acoustical problems.
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