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Mathematical Aspects of Signal Processing

£54.99

  • Date Published: October 2016
  • availability: In stock
  • format: Hardback
  • isbn: 9781107175174

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  • Written using clear and accessible language, this text provides detailed coverage of the core mathematical concepts underpinning signal processing. All the core areas of mathematics are covered, including generalized inverses, singular value decomposition, function representation, and optimization, with detailed explanations of how basic concepts in these areas underpin the methods used to perform signal processing tasks. A particular emphasis is placed on the practical applications of signal processing, with numerous in-text practice questions and real-world examples illustrating key concepts, and MATLAB programs with accompanying graphical representations providing all the necessary computational background. This is an ideal text for graduate students taking courses in signal processing and mathematical methods, or those who want to establish a firm foundation in these areas before progressing to more advanced study.

    • Emphasizes the relationship between mathematical theory and practical applications in signal processing
    • Accompanied by numerous in-text practice questions and real-world examples to illustrate key concepts
    • Covers the computational aspects of signal processing, with the inclusion of MATLAB programs and graphical representations of simulation results
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    Product details

    • Date Published: October 2016
    • format: Hardback
    • isbn: 9781107175174
    • length: 252 pages
    • dimensions: 248 x 186 x 17 mm
    • weight: 0.54kg
    • availability: In stock
  • Table of Contents

    Acknowledgements
    Foreword
    List of tables
    List of figures
    1. Paradigm of signal processing
    2. Function representation
    3. Generalized inverse
    4. Modal decomposition
    5. Optimization
    Solutions to problems
    Index.

  • Author

    Pradip Sircar, Indian Institute of Technology, Kanpur
    Pradip Sircar is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology, Kanpur. He is the co-author of Non-stationary Signal Analysis: Methods Based on Fourier-Bessel Representation (2010) and has published articles in many leading scientific journals.

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