Offers a wealth of problems and examples.Focuses on the general and universal concepts in discrete-time signal processing.Discusses the wide range of present and future applications of the technology.Covers the history of discrete-time signal processing as well as contemporary developments in the field.Provides an accompanying Instructor's Manual.Problems are organized by level of difficulty into separate categories:īasic Problems with Answers to allow students to check their results, but not solutions (20 per chapter).Īdvanced Problems – provide an opportunity for students to understand.Įxtension Problems – start from the discussion in the text and lead students beyond to glimpse some advanced areas of signal processing.Contains a wealth of class-tested problems which are the best produced over decades of undergraduate and graduate signal processing classes at MIT and Georgia Tech.Includes several dozen problem-solving examples that not only illustrate key points, but demonstrate approaches to typical problems related to the material.
The text assumes that students have no prior exposure to discrete time signals, z-transforms, discrete Fourier transforms and the like. Chapter organization is self-contained - A background of advanced calculus and exposure to linear system theory for continuous-time signals is inferred.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.
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.
THE definitive, authoritative text on DSP - ideal for those with an introductory-level knowledge of signals and systems. For senior/graduate-level courses in Discrete-Time Signal Processing.