Digital Filters

ISBN-13: 9780470770399 / Angielski / Twarda / 2011 / 312 str.

Fred J. Taylor; Jon Mellott

Opis

The book is not an exposition on digital signal processing (DSP) but rather a treatise on digital filters. The material and coverage is comprehensive, presented in a consistent that first develops topics and subtopics in terms it their purpose, relationship to other core ideas, theoretical and conceptual framework, and finally instruction in the implementation of digital filter devices. Each major study is supported by Matlab-enabled activities and examples, with each Chapter culminating in a comprehensive design case study.

Spis treści

PREFACE ix

CHAPTER 1 INTRODUCTION TO DIGITAL SIGNAL PROCESSING 1

CHAPTER 2 SAMPLING THEOREM 11

CHAPTER 3 ALIASING 21

CHAPTER 4 DATA CONVERSION AND QUANTIZATION 29

CHAPTER 5 THE Z–TRANSFORM 41

CHAPTER 6 FINITE IMPULSE RESPONSE FILTERS 53

CHAPTER 7 WINDOW DESIGN METHOD 71

CHAPTER 8 LMS DESIGN METHOD 83

CHAPTER 9 EQUIRIPPLE DESIGN METHOD 95

CHAPTER 10 FIR: SPECIAL CASES 113

CHAPTER 11 FIR IMPLEMENTATION 127

CHAPTER 12 CLASSIC FILTER DESIGN 151

CHAPTER 13 IIR DESIGN 167

CHAPTER 14 STATE VARIABLE FILTER MODELS 183

CHAPTER 15 DIGITAL FILTER ARCHITECTURE 197

CHAPTER 16 FIXED–POINT EFFECTS 215

CHAPTER 17 IIR ARCHITECTURE ANALYSIS 231

CHAPTER 18 INTRODUCTION TO MULTIRATE SYSTEMS 249

CHAPTER 19 MULTIRATE FILTERS 263

BIBLIOGRAPHY 279

APPENDIX 281

GLOSSARY 287

INDEX 295

O autorze

FRED J. TAYLOR is co–founder and Chairman of the Board of The Athena Group. He is also Professor of Electrical Engineering and Computer and Information Science at the University of Florida. The author of ten books and holder of four patents, Dr. Taylor serves as a consultant to government agencies, industries, and Boards of Higher Education as well as the National Research Council.

Blurb

Solution implementations for digital filter design and analysis using MATLAB

A professional engineer charged with designing digital filters for sophisticated electronic devices needs more than design theory to get the job done. It is also essential to have practical guidance in how to characterize a digital filter, choose among a vast number of filter design options available in MATLAB and other software, make proper design choices, and enhance a computer–generated design into the optimal filter for a target application. In addition, it is important to develop skills that make it possible to take full advantage of MATLAB′s implementation support.

Digital Filters delivers both the theoretical and practical knowledge needed to design, implement, and analyze digital filters using MATLAB. It covers:

• Sampling, data acquisition, data conversion and quantization, and transforms

• Finite impulse response (FIR) filter attributes, types, special cases, and implementation

• Infinite impulse response (IIR) filter attributes, types, special cases, and implementation

• State variables as an IIR architectural description language

• Multi–rate digital filter systems properties and case studies

Each topic in Digital Filters is supported with numerous examples, many involving the use of MATLAB. The MATLAB scripts used to generate these examples and graphics are available from an accompanying website. These scripts can be easily copied and pasted into MATLAB′s Command Window and re–parameterized to reflect specific digital filter applications and needs.