Digital Signal Processing

by Alan V. Oppenheim, Ronald W. Schafer

This an alternate cover for 0132146355 / 9780132146357

Here is an up-to-date and detailed introduction to the fundamentals of processing signals by digital techniques and their applications to practical problems.

Coverage includes discrete-time signals and systems, z-transform, discrete Fourier transforms, flow graph and matrix representations of digital filters, digital filter design, the fast Fourier transform, discrete Hilbert transforms, discrete random signals, effects of finite register length, homomorphic signal processing, and power spectrum estimation.

Among the features:
· Introduces concepts of two-dimensional signal processing.
· Presents newly published material based on the authors' original research.
· Includes thorough treatment of Tellegen's theorem, other digital network theorems, fast Fourier transform algorithms, and homomorphic processing.
· Provides more than 200 carefully prepared illustrative problems-all closely integrated with the text.

Genres: Engineering, Electrical Engineering, Technology

585 pages, Hardcover

First published January 12, 1975

About the author

Alan Victor Oppenheim is a professor of engineering at MIT's Department of Electrical Engineering and Computer Science. He is also a principal investigator in MIT's Research Laboratory of Electronics (RLE), at the Digital Signal Processing Group.

His research interests are in the general area of signal processing and its applications. He is co-author of the widely used textbooks Discrete-Time Signal Processing and Signals and Systems. He is also the editor of several advanced books on signal processing.

Reviews

[Leonard]

There are many books on digital signal processing, but this is the standard by which the others are judged.

[Emanuel Landeholm]

This book was written in 1975 and it is still the definite reference for DSP. The chapter on Homomorphic Signal Processing is really interesting.

[Mangesh Kothule]

ghjgjjgg

[Tawfeeq Amro]

hard to understand sometimes ! but like it.

[DJ]

recommended by Niv from QuISU as the best introduction to DSP (if I ever get around to it...)