Modal Array Signal Processing: Principles and Applications of Acoustic Wavefield Decomposition: 348 (Lecture Notes in Control and Information Sciences, 348) - Image 1

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Springer Modal Array Signal Processing: Principles and Applications of Acoustic Wavefield Decomposition: 348 (Lecture Notes in Control and Information Sciences, 348)

Name: Modal Array Signal Processing: Principles and Applications of Acoustic Wavefield Decomposition: 348 (Lecture Notes in Control and Information Sciences, 348)
Brand: Springer

AI & Machine Learning

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Many applications of acoustic signal processing, such as teleconferencing and surveillance systems, require an estimate of several parameters present in the observed acoustic wavefield. The most important parameters are the number as well as the location of active acoustic sources. This book deals with the problem of detecting and localizing multiple simultaneously active wideband acoustic sources by applying the notion of wavefield decomposition using circular and spherical microphone arrays. The decomposed wavefield representation is used to serve as a basis for so-called modal array signal processing algorithms, which have the significant advantage over classical array signal processing algorithms that they inherently support multiple wideband acoustic sources. A rigorous derivation of modal array signal processing algorithms for unambiguous source detection and localization as well as performance evaluations by means of measurements using an actual real-time capable implementation are discussed.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3540408932
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 10 January 2007
Listed Since: 19 February 2007

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Springer Modal Array Signal Processing: Principles and Applications of Acoustic Wavefield Decomposition: 348 (Lecture Notes in Control and Information Sciences, 348)

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