
Digital Signal Processing (Int'l Ed)
Sanjit K. Mitra(Author)
McGraw Hill Higher Education (Publisher)
4th Edition
Published on 16. June 2011
Book
960 pages
978-0-07-128946-7 (ISBN)
Description
Digital Signal Processing: A Computer-Based Approach is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. The prerequisite for this book is a junior-level course in linear continuous-time and discrete-time systems, which is usually required in most universities. A key feature of this book is the extensive use of MATLAB-based examples that illustrate the program's powerful capability to solve signal processing problems. Practical examples and applications bring the theory to life. This popular book introduces the tools used in the analysis and design of discrete-time systems for signal processing.
More details
Edition
4th edition
Language
English
Place of publication
London
United States
Publishing group
McGraw-Hill Education - Europe
Target group
Adult education
Illustrations
Illustrations
Dimensions
Height: 242 mm
Width: 204 mm
Thickness: 35 mm
Weight
2 gr
ISBN-13
978-0-07-128946-7 (9780071289467)
Schweitzer Classification
Person
Sanjit Mitra, Ph.D., University of California, Berkeley. Professor Mitra transferred to UCSB in July 1977 after 10 years at UC Davis. He obtained his B.Sc. with honors in Physics (1953) and the M.Sc. (Tech.) in Radio Physics and Electronics (1956) in India. He then obtained his M.S. (1960) and Ph.D. (1962) in electrical engineering from UC Berkeley. He has published over 600 papers in the areas of analog and digital signal processing, and image processing. He has also authored and co-authored twelve books, and holds five patents. Dr. Mitra has served IEEE in various capacities including service as the President of the IEEE Circuits & Systems Society in 1986, and has held visiting appointments in Australia, Austria, Finland, India, Japan, Singapore and the United Kingdom.
Content
1 Signals and Signal Processing
2 Discrete-Time Signals and Systems in the Time Domain
3 Discrete-Time Signals and Systems in the Frequency Domain
4 Discrete-Time Systems
5 Finite-Length Discrete Transforms
6 z-Transform
7 LTI Discrete-Time Systems in the Transform Domain
8 Digital Filter Structures
9 IIR Digital Filter Design
10 FIR Digital Filter Design
11 DSP Algorithm Implementation
12 Analysis of Finite Wordlength Effects
13 Multirate Digital Signal Processing Fundamentals
14 Multirate Filter Banks and Wavelets
Appendix A: Analog Lowpass Filter Design
Appendix B: Design of Analog Highpass, Bandpass, and Bandstop Filters
Appendix C: Discrete-Time Random Signals
Index
2 Discrete-Time Signals and Systems in the Time Domain
3 Discrete-Time Signals and Systems in the Frequency Domain
4 Discrete-Time Systems
5 Finite-Length Discrete Transforms
6 z-Transform
7 LTI Discrete-Time Systems in the Transform Domain
8 Digital Filter Structures
9 IIR Digital Filter Design
10 FIR Digital Filter Design
11 DSP Algorithm Implementation
12 Analysis of Finite Wordlength Effects
13 Multirate Digital Signal Processing Fundamentals
14 Multirate Filter Banks and Wavelets
Appendix A: Analog Lowpass Filter Design
Appendix B: Design of Analog Highpass, Bandpass, and Bandstop Filters
Appendix C: Discrete-Time Random Signals
Index