Discrete-Time Signal Processing

Description

For senior/graduate-level courses in discrete-time signal processing.

The definitive, authoritative text on DSP

Discrete-Time Signal Processing provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. Written by prominent DSP pioneers, it is the ideal resource for students with an introductory-level knowledge of signals and systems. 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 is included with each new copy of Discrete-Time Signal Processing, 3rd Edition. Go to the companion website.

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

Discrete-Time Signal Processing, Third Edition is the definitive, authoritative text on DSP – ideal for those with 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 and updated features of this title

• NEW: Over 25% new, class-tested problems. Culled from decades of undergraduate and graduate signal processing classes at MIT and Georgia Tech, the problems are organized by category and level of difficulty.
• NEW: Chapters cover Parametric Signal Modeling (Chapter 11) and Cepstrum Analysis and Homomorphic Deconvolution (Chapter 13).
• NEW: Access to the password-protected companion website is included with each new copy of Discrete-Time Signal Processing. Created by Mark Yoder and Wayne Padgett, the authors’ website provides additional resources for students to study and practice. Go to the companion website.
  • Live Figures help students view the effects on signals as they manipulate variables
  • Build-a-Figure Exercises bring textbook problems to life as they build their figures
  • MATLAB Homework Problems provide more opportunities for self-practice

Hallmark features of this title

• Chapter organization is self-contained. A background of advanced calculus and exposure to linear system theory for continuous-time signals is inferred. The text assumes that students have no prior exposure to discrete time signals, z-transforms, discrete Fourier transforms and the like.
• Coverage focuses on both the general and universal concepts in discrete-time signal processing. Material is included on multi-rate filtering banks, the discrete cosine transform, and noise-shaping sampling strategies.
• Covers the full spectrum of discrete-time-signal processing, including the history of discrete-time signal processing, contemporary developments in the field, and the wide range of both present and future applications of the technology.
• Dozens of problem-solving examples illustrate key points as well as demonstrating approaches to typical problems related to the material.
• A wealth of class-tested problems represent the best produced over decades of undergraduate and graduate signal processing classes at MIT and Georgia Tech.
• Problems are organized by level of difficulty into separate categories: Basic Problems with answers to let students check their results; Basic Problems without answers; Advanced Problems; and Extension Problems.

Brief Contents