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Modal Array Signal Processing: Principles and Applications of Acoustic Wavefield Decomposition [electronic resource] / by Heinz Teutsch.

By: Teutsch, Heinz [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Control and Information Sciences ; 348Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007Edition: 1st ed. 2007Description: XVI, 256 p. 94 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540408963Subject(s): Vibration | Dynamical systems | Dynamics | System theory | Control engineering | Robotics | Mechatronics | Artificial intelligence | Vibration, Dynamical Systems, Control | Systems Theory, Control | Control, Robotics, Mechatronics | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 620 LOC classification: TA355TA352-356Online resources: Click here to access online
Contents:
Acoustic Wavefields -- Wavefield Decomposition -- Acoustic Scene Analysis Using Classical Array Signal Processing -- Acoustic Scene Analysis Using Modal Array Signal Processing -- A Practical Acoustic Scene Analysis System -- Summary and Conclusions.
In: Springer eBooksSummary: 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.
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Acoustic Wavefields -- Wavefield Decomposition -- Acoustic Scene Analysis Using Classical Array Signal Processing -- Acoustic Scene Analysis Using Modal Array Signal Processing -- A Practical Acoustic Scene Analysis System -- Summary and Conclusions.

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.

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