rent-now

Rent More, Save More! Use code: ECRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

9780750650489

Introduction to Digital Signal Processing

by
  • ISBN13:

    9780750650489

  • ISBN10:

    0750650486

  • Format: Paperback
  • Copyright: 2000-09-19
  • Publisher: Elsevier Science
  • Purchase Benefits
  • Free Shipping Icon Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • eCampus.com Logo Get Rewarded for Ordering Your Textbooks! Enroll Now
  • Complimentary 7-Day eTextbook Access - Read more
    When you rent or buy this book, you will receive complimentary 7-day online access to the eTextbook version from your PC, Mac, tablet, or smartphone. Feature not included on Marketplace Items.
List Price: $70.95 Save up to $0.07
  • Buy New
    $70.88
    Add to Cart Free Shipping Icon Free Shipping

    PRINT ON DEMAND: 2-4 WEEKS. THIS ITEM CANNOT BE CANCELLED OR RETURNED.

    7-Day eTextbook Access 7-Day eTextbook Access

Summary

'Introduction to Digital Signal Processing' covers the basic theory and practice of digital signal processing (DSP) at an introductory level. As with all volumes in the Essential Electronics Series, this book retains the unique formula of minimal mathematics and straightforward explanations. The author has included examples throughout of the standard software design package, MATLAB and screen dumps are used widely throughout to illustrate the text. ideal for students on degree and diploma level courses in electric and electronic engineering, 'Introduction to Digital Signal Processing' contains numerous worked examples throughout as well as further problems with solutions to enable students to work both independently and in conjunction with their course.

Table of Contents

Preface xi
Acknowledgements xii
The basics
1(15)
Chapter preview
1(1)
Analogue signal processing
1(1)
An alternative approach
2(1)
The complete DSP system
3(4)
Recap
7(1)
Digital data processing
7(1)
The running average filter
7(2)
Representation of processing systems
9(1)
Self-assessment test
10(1)
Feedback (or recursive) filters
10(2)
Self-assessment test
12(1)
Chapter summary
13(1)
Problems
13(3)
Discrete signals and systems
16(25)
Chapter preview
16(1)
Signal types
16(1)
The representation of discrete signals
17(4)
Self-assessment test
21(1)
Recap
21(1)
The z-transform
22(2)
z-Transform tables
24(1)
Self-assessment test
24(1)
The transfer function for a discrete system
24(4)
Self-assessment test
28(1)
MATLAB and signals and systems
29(1)
Recap
30(1)
Digital signal processors and the z-domain
31(2)
FIR filters and the z-domain
33(1)
IIR filters and the z-domain
34(4)
Self-assessment test
38(1)
Recap
39(1)
Chapter summary
39(1)
Problems
40(1)
The z-plane
41(30)
Chapter preview
41(1)
Poles, zeros and the s-plane
41(1)
Pole-zero diagrams for continuous signals
42(3)
Self-assessment test
45(1)
Recap
45(1)
From the s-plane to the z-plane
46(1)
Stability and the z-plane
47(2)
Discrete signals and the z-plane
49(3)
Zeros
52(2)
The Nyquist frequency
54(1)
Self-assessment test
55(1)
The relationship between the Laplace and z-transform
55(2)
Recap
57(1)
The frequency response of continuous systems
58(3)
Self-assessment test
61(1)
The frequency response of discrete systems
62(5)
Unstable systems
67(1)
Self-assessment test
68(1)
Recap
68(1)
Chapter summary
69(1)
Problems
70(1)
The design of IIR filters
71(31)
Chapter preview
71(1)
Filter basics
71(2)
FIR and IIR filters
73(1)
The direct design of IIR filters
73(5)
Self-assessment test
78(1)
Recap
79(1)
The design of IIR filters via analogue filters
79(1)
The bilinear transform
79(5)
Self-assessment test
84(1)
The impulse-invariant method
84(5)
Self-assessment test
89(1)
Pole-zero mapping
89(2)
Self-assessment test
91(1)
MATLAB and s-to-z transformations
92(1)
Classic analogue filters
92(2)
Frequency transformation in the s-domain
94(1)
Frequency transformation in the z-domain
95(2)
Self-assessment test
97(1)
Recap
97(1)
Practical realization of IIR filters
98(2)
Chapter summary
100(1)
Problems
100(2)
The design of FIR filters
102(35)
Chapter preview
102(1)
Introduction
102(1)
Phase-linearity and FIR filters
102(4)
Running average filters
106(1)
The Fourier transform and the inverse Fourier transform
107(3)
The design of FIR filters using the Fourier transform or `windowing' method
110(6)
Windowing and the Gibbs phenomenon
116(2)
Highpass, bandpass and bandstop filters
118(1)
Self-assessment test
118(1)
Recap
119(1)
The discrete Fourier transform and its inverse
119(5)
The design of FIR filters using the `frequency sampling' method
124(4)
Self-assessment test
128(1)
Recap
128(1)
The fast Fourier transform and its inverse
128(4)
MATLAB and the FFT
132(2)
Recap
134(1)
A final word of warning
134(1)
Chapter summary
135(1)
Problems
135(2)
Answers to self-assessment tests and problems 137(16)
References and bibliography 153(2)
Appendix A Some useful Laplace and z-transforms 155(1)
Appendix B Frequency transformations in the s- and z - domains 156(3)
Index 159

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Rewards Program