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Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations pp 1–13Cite as

Introduction

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Part of the book series: T-Labs Series in Telecommunication Services ((TLABS))

Abstract

In research and development there is an increased interest in array-based audio signal processing. A major challenge to fully exploit the potential of array processing in practical applications lies in the development of adaptive MIMO systems. The underlying signal processing problems that are approached by adaptive systems can be classified as forward and inverse problems. In this chapter, the massive multichannel acoustic echo cancellation problem is introduced as an example of the forward problems. Also a brief review of the state-of-the-art in the multichannel adaptive filtering is given.

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Authors and Affiliations

  1. Quality and Usability Lab Deutsche Telekom Laboratories, Technical University of Berlin, Berlin, Germany

    Karim Helwani

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  1. Karim Helwani
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Helwani, K. (2015). Introduction. In: Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations. T-Labs Series in Telecommunication Services. Springer, Cham. https://doi.org/10.1007/978-3-319-08954-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-08954-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08953-9

  • Online ISBN: 978-3-319-08954-6

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