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Digital Filters and Signal Processing

With MATLAB® Exercises

  • Leland B. Jackson

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Leland B. Jackson
    Pages 1-3
  3. Leland B. Jackson
    Pages 5-27
  4. Leland B. Jackson
    Pages 29-54
  5. Leland B. Jackson
    Pages 55-94
  6. Leland B. Jackson
    Pages 95-137
  7. Leland B. Jackson
    Pages 139-187
  8. Leland B. Jackson
    Pages 189-248
  9. Leland B. Jackson
    Pages 249-287
  10. Leland B. Jackson
    Pages 289-321
  11. Leland B. Jackson
    Pages 323-372
  12. Leland B. Jackson
    Pages 373-425
  13. Leland B. Jackson
    Pages 427-449
  14. Leland B. Jackson
    Pages 451-485
  15. Back Matter
    Pages 487-502

About this book

Introduction

Digital Filters and Signal Processing, Third Edition ... with MATLAB Exercises presents a general survey of digital signal processing concepts, design methods, and implementation considerations, with an emphasis on digital filters. It is suitable as a textbook for senior undergraduate or first-year graduate courses in digital signal processing. While mathematically rigorous, the book stresses an intuitive understanding of digital filters and signal processing systems, with numerous realistic and relevant examples. Hence, practicing engineers and scientists will also find the book to be a most useful reference.
The Third Edition contains a substantial amount of new material including, in particular, the addition of MATLAB exercises to deepen the students' understanding of basic DSP principles and increase their proficiency in the application of these principles. The use of the exercises is not mandatory, but is highly recommended.
Other new features include: normalized frequency utilized in the DTFT, e.g., X(ejomega); new computer generated drawings and MATLAB plots throughout the book; Chapter 6 on sampling the DTFT has been completely rewritten; expanded coverage of Types I-IV linear-phase FIR filters; new material on power and doubly-complementary filters; new section on quadrature-mirror filters and their application in filter banks; new section on the design of maximally-flat FIR filters; new section on roundoff-noise reduction using error feedback; and many new problems added throughout.

Keywords

Fourier analysis Matlab Phase Signal computer digital signal processing digital signal processor filter filter design modeling network signal processing

Authors and affiliations

  • Leland B. Jackson
    • 1
  1. 1.University of Rhode IslandUSA

Bibliographic information