Long description:

Long regarded as the bible of digital filter design and analysis and the place to find the easiest, most efficient, and most robust solution for the filtering application at hand, Andreas Antoniou's enduring classic on digital filters has been thoroughly restructured and expanded into a state-of-the-art encyclopedic volume on digital signal processing.

The new textbook, Digital Signal Processing: Signals, Systems and Filters, starts with the very basics of signal analysis and spectral representation; it then moves on to the fundamentals of discrete-time system theory; and in due course it tackles digital-filter design, the hallmark of the previous editions. A new appendix provides all the necessary mathematics for the student who has not had the chance to learn the prerequisite mathematics and it is just as handy as a reference for the student who has done so. Owing to its rather extensive coverage, the textbook is suitable for junior/senior as well as graduate level courses, as well as for self-study.

Like its predecessors, the new book deals with the principles involved in an easy and often rather unique style. Theories, techniques, methods, and algorithms are supported by numerous examples and MATLAB illustrations. A software package being developed will facilitate, on the one hand, the student to perform experiments and, on the other, the professional engineer to design state-of-the-art digital filters.

Long regarded as the bible of digital filter design and analysis and the place to find the easiest, most efficient, and most robust solution for the filtering application at hand, Andreas Antoniou's enduring classic on digital filters has been thoroughly restructured and expanded into a state-of-the-art encyclopedic volume on digital signal processing.

The new textbook, Digital Signal Processing: Signals, Systems and Filters, starts with the very basics of signal analysis and spectral representation; it then moves on to the fundamentals of discrete-time system theory; and in due course it tackles digital-filter design, the hallmark of the previous editions. A new appendix provides all the necessary mathematics for the student who has not had the chance to learn the prerequisite mathematics and it is just as handy as a reference for the student who has done so. Owing to its rather extensive coverage, the textbook is suitable for junior/senior as well as graduate level courses, as well as for self-study.

Like its predecessors, the new book deals with the principles involved in an easy and often rather unique style. Theories, techniques, methods, and algorithms are supported by numerous examples and MATLAB illustrations. A software package being developed will facilitate, on the one hand, the student to perform experiments and, on the other, the professional engineer to design state-of-the-art digital filters.

Table of Contents:

1 Introduction to Digital Signal Processing

2 The Fourier Series and Transform

3 The z Transform

4 Discrete-Time Systems

5 Application of z Transform to Discrete-Time Systems

6 The Sampling Process

7 The Discrete Fourier Transform

8 Design of DSP Systems

9 Design of Nonrecursive (FIR) Filters

10 Analog-Filter Approximations

11 Design of Recursive (IIR) Filters

12 Design of Recursive Filters Satisfying Prescribed Specifications

13 Random Signals

14 Finite Wordlength Effects

15 Design of Nonrecursive Filters Using Optimization

16 Design of Recursive Filters Using Optimization

17 Realization of Wave Digital Filters

18 DSP Applications

Appendix A: Complex Analysis

Appendix B: Elliptic Functions

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