Synopses & Reviews
Based on Sanjit Mitras extensive teaching and research experience,
Digital Signal Processing, A Computer Based Approach, fourth edition, is written with the reader in mind.
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. The book is intended for a course on digital signal processing for seniors or first-year graduate students. This highly popular book introduces the tools used in the analysis and design of discrete-time systems for signal processing. A number of changes have been made to the books content, based on reviewer and student comments.
Key features of the fourth edition include:
The extensive use of MATLAB ®-based examples to illustrate the programs powerful capacity to solve signal processing problems. The text includes 312 examples, 147 MATLAB programs and code fragments, 859 problems, and 161 MATLAB exercises.
A major reorganization of material. Chapters 2, 3, and 4 have been reorganized into three new chapters:
*the time-domain representation of discrete-time signals,
*the frequency-domain representation of discrete-time signals, and
*the time-domain and frequency-domain representations of discrete-time systems.
Worked-out examples have been included to explain new and difficult concepts and to expose the reader to real-life signal processing problems.
The inclusion of new topics, such as the cyclic prefix, digital integrators, digital differentiators, DC blockers, expanded discussion of computer-aided design of IIR digital filters, and many more.
CD that accompanies the textbook includes all of the MATLAB programs. The student can run these programs to verify the results included in the textbook. The CD also contains other useful materials, such as files of real signals, review materials, additional examples, frequently asked questions (FAQs), a large number of typical applications of digital signal processing, and a short tutorial on MATLAB.
Synopsis
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.
Synopsis
Based on Sanjit Mitra's extensive teaching and research experience, Digital Signal Processing, A Computer Based Approach, fourth edition, is written with the reader in mind. 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. The book is intended for a course on digital signal processing for seniors or first-year graduate students. This highly popular book introduces the tools used in the analysis and design of discrete-time systems for signal processing. A number of changes have been made to the book's content, based on reviewer and student comments.
About the Author
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.
Table of Contents
1 Signals and Signal Processing 2 Discrete-Time Signals in the Time Domain 3 Discrete-Time Signals 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