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Applied Digital Signal Processing
Theory and Practice


  • Date Published: February 2012
  • availability: Available
  • format: Hardback
  • isbn: 9780521110020
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(5 reviews)

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About the Authors
  • Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors.

    • Blends theory, practical implementation of algorithms with MATLAB and practical examples to equip the reader with an understanding of the basic concepts and methodologies of DSP
    • The how-to-use approach outlines the principles necessary to apply DSP techniques to a wide variety of applications, ensuring students cover material relevant to engineering practice
    • Systematic and concise approach gives the detail needed, with enough rigor to appeal to a theory-oriented reader, without overwhelming, detailed exposition
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    Reviews & endorsements

    '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

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    Customer reviews

    04th Dec 2013 by Johnedgell2

    I found this book very useful. I would recommend it to anyone interested in digital signal processing.

    28th Mar 2014 by Perarulalan

    Some of the concepts have been explained really well! Especially the ones on FIR Filter design, Fast Fourier Transforms! Will definitely recommend this one!

    10th Jul 2015 by Feng7Shi

    I like the figures in the book very much, they really give comprehensive illustration to the readers and help the memorization of the concepts.

    20th Oct 2016 by Gedarco

    Excellent book provides very good knowledge of digital signal processing, I've been studying to develop my master's project and has helped me a lot

    13th May 2019 by Mdasilva

    Very comprehensive explanations about DSP with good balance between theory and practical applications. Highly recommended.

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    Product details

    • Date Published: February 2012
    • format: Hardback
    • isbn: 9780521110020
    • length: 1008 pages
    • dimensions: 253 x 195 x 41 mm
    • weight: 1.75kg
    • contains: 400 colour illus.
    • availability: Available
  • 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.

  • Resources for

    Applied Digital Signal Processing

    Dimitris G. Manolakis, Vinay K. Ingle

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  • Instructors have used or reviewed this title for the following courses

    • Advanced Digital Signal Processing
    • Applied Communications Systems
    • Audio Engineering
    • Communication Systems
    • DSP Theory and Design
    • Digital Communication Systems
    • Digital Filter Design
    • Digital Processing of Biological Signals
    • Digital Signal Processing + DSP Laboratory
    • Digital Signal Processing in Embedded Systems
    • Digital Signal Processing with Applications
    • Digital Signal and Image Processing
    • Discrete Time Signals and Sytems & DSP
    • Discrete-Time Signals & Systems
    • Fundamentals of DSP
    • Introduction to digital signal processing
    • Real-Time and Multimedia Systems
    • Signal Analysis
    • Signal Transmission
    • Signals and Systems I & ll
    • Signals, Circuits, and Systems ll
  • Authors

    Dimitris G. Manolakis, Massachusetts Institute of Technology
    Dimitris G. Manolakis is currently a Member of Technical Staff at MIT Lincoln Laboratory in Lexington, Massachusetts. Prior to this he was a Principal Member of Research Staff at Riverside Research Institute. Since receiving his Ph.D. in Electrical Engineering from the University of Athens in 1981, he has taught at various institutions including Northeastern University, Boston College, and Worcester Polytechnic Institute and co-authored two textbooks on signal processing. His research experience and interests include the areas of digital signal processing, adaptive filtering, array processing, pattern recognition, remote sensing and radar systems.

    Vinay K. Ingle, Northeastern University, Boston
    Vinay K. Ingle is currently an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University, where he has worked since 1981 after receiving his Ph.D. in Electrical and Computer Engineering from Rensselaer Polytechnic Institute. He has taught both undergraduate and graduate courses in many diverse areas including systems, signal/image processing, communications and control theory, and has co-authored several textbooks on signal processing. He has broad research experience in the areas of signal and image processing, stochastic processes and estimation theory. Currently he is actively involved in hyperspectral imaging and signal processing.

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