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Time-Frequency Signal Analysis and Processing: A Comprehensive Reference (Eurasip and Academic Press Series in Signal and Image Processing)

Time-Frequency Signal Analysis and Processing: A Comprehensive Reference (Eurasip and Academic Press Series in Signal and Image Processing)

Time-Frequency Signal Analysis and Processing: A Comprehensive Reference
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Time-Frequency Signal Analysis and Processing: A Comprehensive Reference (Eurasip and Academic Press Series in Signal and Image Processing) Hardback - 2015 - 2nd Edition

by by Boualem Boashash (Author)

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Details

  • Title Time-Frequency Signal Analysis and Processing: A Comprehensive Reference (Eurasip and Academic Press Series in Signal and Image Processing)
  • Author by Boualem Boashash (Author)
  • Binding Hardback
  • Edition number 2nd
  • Edition 2
  • Condition New
  • Pages 1056
  • Volumes 1
  • Language ENG
  • Publisher Academic Press
  • Publication date 2015-12-21
  • Bookseller's Inventory # 22055457-n
  • ISBN 9780123984999 / 0123984998
  • Weight 5.2 lbs (2.36 kg)
  • Dimensions 9.6 x 7.7 x 2 in (24.38 x 19.56 x 5.08 cm)
  • Category Technology & Industrial Arts
  • Dewey Decimal Code 621.382
  • Quantity available 5

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Reader reviews for Time-Frequency Signal Analysis and Processing: A Comprehensive Reference (Eurasip and Academic Press Series in Signal and Image Processing)

From the publisher

Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering. This book gives the university researcher and R&D engineer insights into how to use TFSAP methods to develop and implement the engineering application systems they require.

New to this edition:

  • New sections on Efficient and Fast Algorithms; a "Getting Started" chapter enabling readers to start using the algorithms on simulated and real examples with the TFSAP toolbox, compare the results with the ones presented in the book and then insert the algorithms in their own applications and adapt them as needed.
  • Two new chapters and twenty three new sections, including updated references.
  • New topics including: efficient algorithms for optimal TFDs (with source code), the enhanced spectrogram, time-frequency modelling, more mathematical foundations, the relationships between QTFDs and Wavelet Transforms, new advanced applications such as cognitive radio, watermarking, noise reduction in the time-frequency domain, algorithms for Time-Frequency Image Processing, and Time-Frequency applications in neuroscience (new chapter).
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