An Introduction to Digital Signal Processing

Author: Karl   John H.  

Publisher: Elsevier Science‎

Publication year: 2012

E-ISBN: 9780323139595

P-ISBN(Paperback): 9780123984203

P-ISBN(Hardback):  9780123984203

Subject: TN911.72 Digital Signal Processing

Language: ENG

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Description

An Introduction to Digital Signal Processing is written for those who need to understand and use digital signal processing and yet do not wish to wade through a multi-semester course sequence. Using only calculus-level mathematics, this book progresses rapidly through the fundamentals to advanced topics such as iterative least squares design of IIR filters, inverse filters, power spectral estimation, and multidimensional applications--all in one concise volume.

This book emphasizes both the fundamental principles and their modern computer implementation. It presents and demonstrates how simple the actual computer code is for advanced modern algorithms used in DSP. Results of these programs, which the reader can readily duplicate and use on a PC, are presented in many actual computer drawn plots.

  • Assumes no previous knowledge of signal processing but leads up to very advanced techniques combines exposition of fundamental principles with practical applications
  • Includes problems with each chapter
  • Presents in detail the appropriate computer algorithums for solving problems

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 8

Dedication

pp.:  6 – 12

Table of Contents

pp.:  8 – 6

Preface

pp.:  12 – 16

Chapter 1. Signals and Systems

pp.:  16 – 42

Chapter 2. Sampled Data and the Z Transform

pp.:  42 – 56

Chapter 3. Sinusoidal Response of LSI Systems

pp.:  56 – 79

Chapter 4. Couplets and Elementary Filters

pp.:  79 – 94

Chapter 5. The Discrete Fourier Transform

pp.:  94 – 112

Chapter 6. The Continuous Fourier Integral Transform

pp.:  112 – 142

Chapter 7. Application of the Fourier Transform to Digital Signal Processing

pp.:  142 – 180

Chapter 8. Digital Filter Design

pp.:  180 – 212

Chapter 9. Inverse Filtering and Deconvolution

pp.:  212 – 250

Chapter 10. Spectral Factorization

pp.:  250 – 273

Chapter 11. Power Spectral Estimation

pp.:  273 – 307

Chapter 12. Multidimensional DSP

pp.:  307 – 348

References

pp.:  348 – 350

Index

pp.:  350 – 357

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