Study and Design of Differential Microphone Arrays [electronic resource] / by Jacob Benesty, Jingdong Chen.

By: Benesty, Jacob [author.]Contributor(s): Chen, Jingdong [author.] | SpringerLink (Online service)Material type: TextTextLanguage: English Series: Springer Topics in Signal Processing: 6Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: VIII, 182 p. 110 illus., 13 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642337536Subject(s): Engineering | Acoustics | Acoustics in engineering | Engineering | Signal, Image and Speech Processing | Acoustics | Engineering AcousticsAdditional physical formats: Printed edition:: No titleDDC classification: 621.382 LOC classification: TK5102.9TA1637-1638TK7882.S65Online resources: Click here to access online
Contents:
Introduction -- Problem Formulation -- Study and Design of First-Order Differential Arrays -- Study and Design of Second-Order Differential Arrays -- Study and Design of Third-Order Differential Arrays with Three Distinct Nulls -- Minimum-Norm Solution for Robust Differential Arrays -- Study and Design of Differential Arrays with the MacLaurin’s Series Approximation.
In: Springer eBooksSummary: Microphone arrays have attracted a lot of interest over the last few decades since they have the potential to solve many important problems such as noise reduction/speech enhancement, source separation, dereverberation, spatial sound recording, and source localization/tracking, to name a few. However, the design and implementation of microphone arrays with beamforming algorithms is not a trivial task when it comes to processing broadband signals such as speech. Indeed, in most sensor arrangements, the beamformer tends to have a frequency-dependent response. One exception, perhaps, is the family of differential microphone arrays (DMAs) that have the promise to form frequency-independent responses. Moreover, they have the potential to attain high directional gains with small and compact apertures. As a result, this type of microphone arrays has drawn much research and development attention recently. This book is intended to provide a systematic study of DMAs from a signal processing perspective. The primary objective is to develop a rigorous but yet simple theory for the design, implementation, and performance analysis of DMAs.
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Introduction -- Problem Formulation -- Study and Design of First-Order Differential Arrays -- Study and Design of Second-Order Differential Arrays -- Study and Design of Third-Order Differential Arrays with Three Distinct Nulls -- Minimum-Norm Solution for Robust Differential Arrays -- Study and Design of Differential Arrays with the MacLaurin’s Series Approximation.

Microphone arrays have attracted a lot of interest over the last few decades since they have the potential to solve many important problems such as noise reduction/speech enhancement, source separation, dereverberation, spatial sound recording, and source localization/tracking, to name a few. However, the design and implementation of microphone arrays with beamforming algorithms is not a trivial task when it comes to processing broadband signals such as speech. Indeed, in most sensor arrangements, the beamformer tends to have a frequency-dependent response. One exception, perhaps, is the family of differential microphone arrays (DMAs) that have the promise to form frequency-independent responses. Moreover, they have the potential to attain high directional gains with small and compact apertures. As a result, this type of microphone arrays has drawn much research and development attention recently. This book is intended to provide a systematic study of DMAs from a signal processing perspective. The primary objective is to develop a rigorous but yet simple theory for the design, implementation, and performance analysis of DMAs.

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