This is the standard text for introductory advanced undergraduate and first-year graduate level courses in signal processing. The text gives a coherent and exhaustive treatment of discrete-time linear systems, sampling, filtering and filter design, reconstruction, the discrete-time Fourier and z-transforms, Fourier analysis of signals, the fast Fourier transform, and spectral estimation. The author develops the basic theory independently for each of the transform domains and provides illustrative examples throughout to aid the reader. Discussions of applications in the areas of speech processing, consumer electronics, acoustics, radar, geophysical signal processing, and remote sensing help to place the theory in context. The text assumes a background in advanced calculus, including an introduction to complex variables and a basic familiarity with signals and linear systems theory. If you have this background, the book forms an up-to-date and self-contained introduction to discrete-time signal processing that is appropriate for students and researchers. Discrete-Time Signal Processing also includes an extensive bibliography.
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.
Very similar to Signal Analysis. Don’t expect to read this book and complete the MIT open course without extensive knowledge in calculus, physics and engineering. I was perplexed with problems at the end of the chapter not ever addressed in the text. I’ll keep it and maybe complete the course at a later date, but wasn’t impressed with it’s curriculum development.
I tend to rate 3 to 5 stars as I don’t bother with books that aren’t acceptable to the subject. 3 stars means it is a good book, but there are better treatments of the subject matter or contains structural problems in the text. 4 stars means the book is great and I use it regularly in projects/research. 5 stars is reserved for top 10-20% on a given shelf that abstracted a particularly difficult idea in an easy to understand manner (i.e. it blew my mind) or I have a hard time completing my work without it.
I used this book as an undergraduate and I still refer to this book frequently as a grad student. I have to say this is one of the best texts I have encountered, not just in the DSP field, but in electrical engineering in general. Well written, comprehensive, and extremely practical. This textbook is geared not just towards the mathematical theory, but towards design techniques and it is rich with examples.