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Digital Filters : Analysis, Design, and Signal Processing Applications

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Title: Digital Filters : Analysis, Design, and Signal Processing Applications
Author: Andreas Antoniou
ISBN: 0071846034 / 9780071846035
Format: Hard Cover
Pages: 1000
Publisher: McGraw-Hill
Year: 2018
Availability: 15-30 days
     
 
  • Description
  • Contents

Up-to-date digital filter design principles, techniques, and applications

Written by a Life Fellow of the IEEE, this comprehensive textbook teaches digital filter design, realization, and implementation and provides detailed illustrations and real-world applications of digital filters to signal processing. Digital Filters: Analysis, Design, and Signal Processing Applications provides a solid foundation in the fundamentals and concepts of DSP and continues with state-of-the-art methodologies and algorithms for the design of digital filters.

You will get clear explanations of key topics such as spectral analysis, discrete-time systems, and the sampling process. This hands-on resource is supported by a rich collection of online materials which include PDF presentations, detailed solutions of the end-of-chapter problems, MATLAB programs that can be used to analyze and design digital filters of professional quality, and also the author’s DSP software D-Filter.

Coverage includes:

  • Discrete-time systems
  • The Fourier series and transform
  • The Z transform
  • Application of transform theory to systems
  • The sampling process
  • The discrete Fourier transform
  • The window technique
  • Realization of digital filters
  • Design of recursive and nonrecursive filters
  • Approximations for analog filters
  • Recursive filters satisfying prescribed specifications
  • Effects of finite word length on digital filters
  • Design of recursive and nonrecursive filters using optimization methods
  • Wave digital filters
  • Signal processing applications

Preface

Chapter 1 : Introduction to Digital Signal Processing
Chapter 2 : The Fourier Series and Fourier Transfer
Chapter 3 : The z Transform
Chapter 4 : Discrete-Time Systems
Chapter 5 : Application of the z Transform
Chapter 6 : The Sampling Process
Chapter 7 : The Discrete Fourier Transform
Chapter 8 : Realization of Digital Filters
Chapter 9 : Design of Nonrecursive (FIR) Filters
Chapter 10 : Approximations for Analog Filters
Chapter 11 : Design of Recursive (IIR) Filters
Chapter 12 : Recursive (IIR) Filters Satisfying Prescribed Specifications
Chapter 13 : Effects of Finite Word Length in Digital Filters
Chapter 14 : Design of Nonrecursive Filters Using Optimization Methods
Chapter 15 : Design of Recursive Filters Using Optimization Methods
Chapter 16 : Wave Digital Filters
Chapter 17 : State of the Art Applications

Appendix A : Complex Analysis
Appendix B : Random Signals
Index

 
 
 
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