Description

Book Synopsis
The basic concepts and methodologies of DSP are introduced, leading students through the fundamental mathematical principles underlying signal processing. Blending theory with practical implementation, outlining the limitations of digital signal processing, and with a focus on MATLAB, students and practitioners are shown how to better connect theory and practice.

Trade Review
'The primary advantage of this book is the integrated inclusion of MATLAB throughout … in some textbooks the MATLAB components appear to have been added as an afterthought.' Richard M. Dansereau, Carleton University, Ontario
'… a good balance between the depth and clarity of discussion of important topics in DSP and the requirement of mathematical adequacy for the students. This textbook matches with the background of my students.' Yuanwei Jin, University of Hartford, Connecticut
'The innovative figures help students visualise complicated concepts.' Thad B. Welch, Boise State University
'A main strength of this book is its inclusion of MATLAB throughout. There are other books that do this, but I think that MATLAB is more integrated in this book than in the competing books. It provides an appropriate amount of information when it is needed, without overwhelming the reader with excessive detail.' Matthew Valenti, West Virginia University

Table of Contents
1. Introduction; 2. Discrete-time signals and systems; 3. The z-transform; 4. Fourier representation of signals; 5. Transform analysis of LTI systems; 6. Sampling of continuous-time signals; 7. The discrete Fourier transform; 8. Computation of the discrete Fourier transform; 9. Structures for discrete-time systems; 10. Design of FIR filters; 11. Design of IIR filters; 12. Multirate signal processing; 13. Random signals; 14. Random signal processing; 15. Finite wordlength effects.

Applied Digital Signal Processing

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    £94.99

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    RRP £99.99 – you save £5.00 (5%)

    Order before 4pm today for delivery by Thu 25 Jun 2026.

    A Hardback by Dimitris G. Manolakis, Vinay K. Ingle

    15 in stock


      View other formats and editions of Applied Digital Signal Processing by Dimitris G. Manolakis

      Publisher: Cambridge University Press
      Publication Date: 11/21/2011 12:00:00 AM
      ISBN13: 9780521110020, 978-0521110020
      ISBN10: 0521110025

      Description

      Book Synopsis
      The basic concepts and methodologies of DSP are introduced, leading students through the fundamental mathematical principles underlying signal processing. Blending theory with practical implementation, outlining the limitations of digital signal processing, and with a focus on MATLAB, students and practitioners are shown how to better connect theory and practice.

      Trade Review
      'The primary advantage of this book is the integrated inclusion of MATLAB throughout … in some textbooks the MATLAB components appear to have been added as an afterthought.' Richard M. Dansereau, Carleton University, Ontario
      '… a good balance between the depth and clarity of discussion of important topics in DSP and the requirement of mathematical adequacy for the students. This textbook matches with the background of my students.' Yuanwei Jin, University of Hartford, Connecticut
      'The innovative figures help students visualise complicated concepts.' Thad B. Welch, Boise State University
      'A main strength of this book is its inclusion of MATLAB throughout. There are other books that do this, but I think that MATLAB is more integrated in this book than in the competing books. It provides an appropriate amount of information when it is needed, without overwhelming the reader with excessive detail.' Matthew Valenti, West Virginia University

      Table of Contents
      1. Introduction; 2. Discrete-time signals and systems; 3. The z-transform; 4. Fourier representation of signals; 5. Transform analysis of LTI systems; 6. Sampling of continuous-time signals; 7. The discrete Fourier transform; 8. Computation of the discrete Fourier transform; 9. Structures for discrete-time systems; 10. Design of FIR filters; 11. Design of IIR filters; 12. Multirate signal processing; 13. Random signals; 14. Random signal processing; 15. Finite wordlength effects.

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