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Spatial Time-Frequency Distributions: Theory and Applications

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Wavelets and Signal Processing

Part of the book series: Applied and Numerical Harmonic Analysis ((ANHA))

Abstract

This chapter presents a comprehensive treatment of the hybrid area of time-frequency distributions (TFDs) and array signal processing. The application of quadratic ‘l’F’Ds to sensor signal processing has recently become of interest, and it was necessitated by the need to address important problems related to processing nonstationary signals incident on multiantenna receivers. Over the past few years, major contributions have been made to improve direction finding and blind source separation using time-frequency signatures. This improvement has cast quadratic TFDs as a key tool for source localization and signal recovery, and put bilinear transforms at equal footing with second-order and higher-order statistics as bases for effective spatial-temporal signal processing. This chapter discusses the advances made through time-frequency analysis in direction-of-arrival estimation, signal synthesis, and near-field source characterization.

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Authors
  1. Moeness G. Amin
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  2. Yimin Zhang
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  3. Gordon J. Frazer
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  4. Alan R. Lindsey
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Editor information

Editors and Affiliations

  1. Department of Mathematics, The University of Texas-Pan American, Edinburg, TX, 78539-2999, USA

    Lokenath Debnath

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Amin, M.G., Zhang, Y., Frazer, G.J., Lindsey, A.R. (2003). Spatial Time-Frequency Distributions: Theory and Applications. In: Debnath, L. (eds) Wavelets and Signal Processing. Applied and Numerical Harmonic Analysis. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0025-3_9

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  • DOI: https://doi.org/10.1007/978-1-4612-0025-3_9

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-6578-8

  • Online ISBN: 978-1-4612-0025-3

  • eBook Packages: Springer Book Archive

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