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Discrete-time Signal Processing-with Access (3RD 10 Edition)

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Discrete-time Signal Processing-with Access (3RD 10 Edition) Cover

 

Synopses & Reviews

Publisher Comments:

THE definitive, authoritative book on DSP – ideal for those with an introductory-level knowledge of signals and systems. Written by prominent, DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field – without limiting itself to specific technologies with relatively short life spans.

FEATURES

  • NEW–Provides a new chapter organization.
  • NEW–Material on:
    • Multi-rate filtering banks.
    • The discrete cosine transform.
    • Noise-shaping sampling strategies.
  • NEW–Includes several dozen new problem-solving examples that not only illustrate key points, but demonstrate approaches to typical problems related to the material.
  • NEW–Contains a wealth of "combat tested" problems which are the best produced over decades of undergraduate and graduate signal processing classes at MIT and Georgia Tech.
  • NEW–Problems are completely reorganized by level of difficulty into separate categories:
    • Basic Problems with Answers to allow the user to check their results, but not solutions (20 per chapter).
    • Basic Problems – without answers.
    • Advanced Problems.
    • Extension Problems – start from the discussion in the book and lead the reader beyond to glimpse some advanced areas of signal processing.
  • Covers the history of discrete-time signal processing as well as contemporary developments in the field.
  • Discusses the wide range of present and future applications of the technology.
  • Focuses on the general and universal concepts in discrete-time signal processing.
  • Offers a wealth of problems and examples.

Synopsis:

 

Synopsis:

For senior/graduate-level courses in Discrete-Time Signal Processing.

Discrete-Time Signal Processing, Third Edition is the definitive, authoritative text on DSP – ideal for those with introductory-level knowledge of signals and systems. Written by prominent DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field.

Access to the password-protected companion Website and myeBook is included with each new copy of Discrete-Time Signal Processing, Third Edition .

Table of Contents

Previous edition TOC

 

1. Introduction.

2. Discrete-Time Signals and Systems.

Introduction. Discrete-time Signals: Sequences. Discrete-time Systems. Linear Time-Invariant Systems. Properties of Linear Time-Invariant Systems. Linear Constant-Coefficient Difference Equations. Frequency-Domain Representation of Discrete-Time Signals and Systems. Representation of Sequence by Fourier Transforms. Symmetry Properties of the Fourier Transform. Fourier Transform Theorems. Discrete-Time Random Signals. Summary.

3. The z-Transform.

Introduction. The z-Transform. Properties of the Region of Convergence for the z-Transform. The Inverse z-Transform. z-Transform Properties. Summary.

4. Sampling of Continuous-Time Signals.

Introduction. Periodic Sampling. Frequency-Domain Representation of Sampling. Reconstruction of a Bandlimited Signal from its Samples. Discrete-Time Processing of Continuous-Time Signals. Continuous-Time Processing of Discrete-Time Signals. Changing the Sampling Rate Using Discrete-Time Processing. Practical Considerations. Oversampling and Noise Shaping. Summary.

5. Transform Analysis of Linear Time-Invariant Systems.

Introduction. The Frequency Response of LTI Systems. System Functions for Systems Characterized by Linea. Frequency Response for Rational System Functions. Relationship Between Magnitude and Phase. All-Pass Systems. Minimum-Phase Systems. Linear Systems with Generalized Linear Phase. Summary.

6. Structures for Discrete-Time Systems.

Introduction. Block Diagram Representation of Linear Constant-Coefficient Difference Equations. Signal Flow Graph Representation of Linear Constant-Coefficient Difference Equations. Basic Structures for IIR Systems. Transposed Forms. Basic Network Structures for FIR Systems. Overview of Finite-Precision Numerical Effects. The Effects of Coefficient Quantization. Effects of Roundoff Noise in Digital Filters. Zero-Input Limit Cycles in Fixed-Point Realizations of IIR Digital Filters. Summary.

7. Filter Design Techniques.

Introduction. Design of Discrete-Time IIR Filters from Continuous-Time Filters. Design of FIR Filters by Windowing. Examples of FIR Filter Design by the Kaiser Window Method. Optimum Approximations of FIR Filters. Examples of FIR Equiripple Approximation. Comments on IIR and FIR Digital Filters. Summary.

8. The Discrete Fourier Transform.

Introduction. Representation of Periodic Sequences: the Discrete Fourier Series. Summary of Properties of the DFS Representation of Periodic Sequences. The Fourier Transform of Periodic Signals. Sampling the Fourier Transform. Fourier Representation of Finite-Duration Sequences: The Discrete-Fourier Transform. Properties of the Discrete Fourier Transform. Summary of Properties of the Discrete Fourier Transform. Linear Convolution Using the Discrete Fourier Transform. The Discrete Cosine Transform (DCT). Summary.

9. Computation of the Discrete Fourier Transform.

Introduction. Efficient Computation of the Discrete Fourier Transform. The Goertzel Algorithm Decimation-in-Time FFT Algorithms. Decimation-in-Frequency FFT Algorithms. Practical Considerations Implementation of the DFT Using Convolution. Summary.

10. Fourier Analysis of Signals Using the Discrete Fourier Transform.

Introduction. Fourier Analysis of Signals Using the DFT. DFT Analysis of Sinusoidal Signals. The Time-Dependent Fourier Transform. Block Convolution Using the Time-Dependent Fourier Transform. Fourier Analysis of Nonstationary Signals. Fourier Analysis of Stationary Random Signals: the Periodogram. Spectrum Analysis of Random Signals Using Estimates of the Autocorrelation Sequence. Summary.

11. Discrete Hilbert Transforms.

Introduction. Real and Imaginary Part Sufficiency of the Fourier Transform for Causal Sequences. Sufficiency Theorems for Finite-Length Sequences. Relationships Between Magnitude and Phase. Hilbert Transform Relations for Complex Sequences. Summary.

Appendix A: Random Signals.

Discrete-Time Random Process. Averages. Properties of Correlation and Covariance Sequences. Transform Representation of Random Signals.

Appendix B: Continuous-Time Filters.

Butterworth Lowpass Filters. Chebyshev Filters. Elliptic Filters.

Product Details

ISBN:
9780131988422
Author:
Oppenheim, Alan V.
Publisher:
Pearson Education
Author:
Cram101 Textbook Reviews
Author:
Oppenheim, Alan V.
Author:
Yoder, Mark T
Author:
Schafer, Ronald
Author:
Schafer, Ronald T
Author:
Buck, John R.
Author:
Padgett, Wayne T.
Author:
Schafer, Ronald W.
Subject:
Engineering / Electrical
Subject:
Networking - General
Subject:
Electricity
Subject:
Education-General
Copyright:
Series:
Prentice Hall Signal Processing
Publication Date:
December 2008
Binding:
HARDCOVER
Grade Level:
College/higher education:
Language:
English
Illustrations:
Y
Pages:
1120
Dimensions:
9.4 x 7.5 x 1.7 in 1928 gr

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Discrete-time Signal Processing-with Access (3RD 10 Edition) New Hardcover
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Product details 1120 pages Prentice Hall - English 9780131988422 Reviews:
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"Synopsis" by ,

For senior/graduate-level courses in Discrete-Time Signal Processing.

Discrete-Time Signal Processing, Third Edition is the definitive, authoritative text on DSP – ideal for those with introductory-level knowledge of signals and systems. Written by prominent DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field.

Access to the password-protected companion Website and myeBook is included with each new copy of Discrete-Time Signal Processing, Third Edition .

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