| Discrete-Time Signal Processing (1989) |
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| Amazon.com 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. Book Info Presents the knowledge necessary for an appreciation of the wide scope of applications for discrete-time signal processing and a foundation for contributing to future developments in this technology. DLC: Signal processing--Mathematics. --This text refers to the Hardcover edition. The publisher, Prentice-Hall Engineering/Science/Mathematics A thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. From the Back Cover THE definitive, authoritative book 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 — without limiting itself to specific technologies with relatively short life spans. FEATURES NEW—Provides a new chapter organization. NEW—Material on: Multi-rate filtering banks. The discrete cosine transform. Noise-shaping sampling strategies. NEW—Includes several dozen new problem-solving examples that not only illustrate key points, but demonstrate approaches to typical problems related to the material. NEW—Contains a wealth of "combat tested" problems which are the best produced over decades of undergraduate and graduate signal processing classes at MIT and Georgia Tech. NEW—Problems are completely reorganized by level of difficulty into separate categories: Basic Problems with Answers to allow the user to check their results, but not solutions (20 per chapter). Basic Problems — without answers. Advanced Problems. Extension Problems — start from the discussion in the book and lead the reader beyond to glimpse some advanced areas of signal processing. Covers the history of discrete-time signal processing as well as contemporary developments in the field. Discusses the wide range of present and future applications of the technology. Focuses on the general and universal concepts in discrete-time signal processing. Offers a wealth of problems and examples. |
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| Bibliography: p. 851-868. Includes index. International Edition ISBN original: 013216292X |