Discrete-Time Signal Processing  (English, Hardcover, Oppenheim Alan)

For senior/graduate-level courses in Discrete-Time Signal Processing.

THE definitive, authoritative text on DSP - ideal for those with an introductory-level knowledge of signals and systems. Written by prominent DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field.

Access to the password-protected companion Website and myeBook is included with each new copy of Discrete-Time Signal Processing, Third Edition.

New to this Edition

• Over twenty-five percent new, class-tested problems - culled from decades of undergraduate and graduate signal processing classes at MIT and Georgia Tech. Problems are organized by category and level of difficulty.
• NEW! Access to the password-protected companion Website and myeBook is included with each new copy of Discrete-Time Signal Processing. myeBook is Pearson's new eBook platform that gives you the same high-quality experience as the printed book, only electronically. While viewing the text at full fidelity, this new platform allows you to interact and annotate the text. myeBook also gives you a quick and easy way to navigate through content, either by chapter and topic, or by search terms. A myeBook access code is included in each new copy of the textbook. Access can also be purchased separately online.
• New Website - created by Mark Yoder and Wayne Padgett - provides additional resources for student self-study and practice. The Website includes:
• Live Figures: Help students view the effects on signals as they manipulate variables.
• Build-a-Figure Exercises: Bring textbook problems to life as students build their figures.
• MATLAB Homework Problems: Provide more opportunity for self-practice.
• Two new chapters - Parametric Signal Modeling (Chapter 11) and Cepstrum Analysis and Homomorphic Deconvolution (Chapter 13).