Discrete-Time Signal Processing (Prentice-Hall Signal Processing Series)

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9780132162920: Discrete-Time Signal Processing (Prentice-Hall Signal Processing Series)

Discrete-time signal processing continues to be a dynamic and rapidly growing field with a wide range of applications including speech and data communication, acoustics, radar, sonar, seismology, remote sensing, instrumentation, consumer electronics, and many others. "Discrete-time Signal Processing, " by the authors of the classic text "Digital Signal Processing" (Prentice Hall, 1975), is a completely up-to-date, thorough, and coherent treatment of the fundamentals of this field. Considerable emphasis is placed on illustrative examples and intuitive interpretation. The authors include more than 400 carefully prepared problems to help the reader develop a thorough foundation in the use of this material.

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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.

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A thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis.

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