Digital Signal Processing: Principles, Algorithms and Applications

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9780023968150: Digital Signal Processing: Principles, Algorithms and Applications

Suitable for a one- or two-semester undergraduate-level electrical engineering, computer engineering, and computer science course in Discrete Systems and Digital Signal Processing. Assumes some prior knowledge of advanced calculus, linear systems for continuous-time signals, and Fourier series and transforms.

Giving students a sound balance of theory and practical application, this no-nonsense text presents the fundamental concepts and techniques of modern digital signal processing with related algorithms and applications. Covering both time-domain and frequency- domain methods for the analysis of linear, discrete-time systems, the book offers cutting-edge coverage on such topics as sampling, digital filter design, filter realizations, deconvolution, interpolation, decimation, state-space methods, spectrum analysis, and more. Rigorous and challenging, it further prepares students with numerous examples, exercises, and experiments emphasizing software implementation of digital signal processing algorithms integrated throughout.

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From the Back Cover:

Giving the reader a sound balance of theory and practical application, this no-nonsense book presents the fundamental concepts and techniques of modern digital signal processing with related algorithms and applications. Covering both time-domain and frequency- domain methods for the analysis of linear, discrete-time systems, the book offers cutting-edge coverage on such topics as sampling, digital filter design, filter realizations, deconvolution, interpolation, decimation, state-space methods, spectrum analysis, and more. Rigorous and challenging, it furthers the understanding with numerous examples, exercises, and experiments emphasizing software implementation of digital signal processing algorithms integrated throughout.

FEATURES:

  • NEW?reorganizes coverage of DFT and FFT algorithm for greater clarity?now introduces the DFT and describes its efficient computation immediately following the treatment of Fourier analysis.
  • Describes the operations and techniques involved in the analog-to-digital conversion of analog signals.
  • Studies the characterization and analysis of linear time-invariant discrete-time systems and discrete- time signals in the time domain.
  • Considers both the bilateral and the unilateral z-transform, and describes methods for determining the inverse z-transform.
  • Analyzes signals and systems in the frequency domain, and presents Fourier series and Fourier transform in both continuous-time and discrete-time signals.
  • Treats the realization of IIR and FIR systems, including direct-form, cascade, parallel, lattice and lattice-ladder realizations.
  • Looks at the basics of sampling rate conversion and presents systems for implementing multirate conversion.
  • Offers a detailed examination of power spectrum estimation, with discussions on nonparametric and model-based methods, as well as eigen-decomposition- based methods, including MUSIC and ESPRIT.
  • Includes many examples throughout the book and with approximately 500 workable problems.

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Proakis, John G., Manolakis, Dimitris G.
Published by Macmillan Coll Div (1992)
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