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{ "item_title" : "Digital Signal Processing", "item_author" : [" Thomas Holton "], "item_description" : "Combining clear explanations of elementary principles, advanced topics and applications with step-by-step mathematical derivations, this textbook provides a comprehensive yet accessible introduction to digital signal processing. All the key topics are covered, including discrete-time Fourier transform, z-transform, discrete Fourier transform and FFT, A/D conversion, and FIR and IIR filtering algorithms, as well as more advanced topics such as multirate systems, the discrete cosine transform and spectral signal processing. Over 600 full-color illustrations, 200 fully worked examples, hundreds of end-of-chapter homework problems and detailed computational examples of DSP algorithms implemented in MATLAB(R) and C aid understanding, and help put knowledge into practice. A wealth of supplementary material accompanies the book online, including interactive programs for instructors, a full set of solutions and MATLAB(R) laboratory exercises, making this the ideal text for senior undergraduate and graduate courses on digital signal processing.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/10/841/844/1108418449_b.jpg", "price_data" : { "retail_price" : "150.00", "online_price" : "150.00", "our_price" : "150.00", "club_price" : "150.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Digital Signal Processing|Thomas Holton

Digital Signal Processing : Principles and Applications

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Overview

Combining clear explanations of elementary principles, advanced topics and applications with step-by-step mathematical derivations, this textbook provides a comprehensive yet accessible introduction to digital signal processing. All the key topics are covered, including discrete-time Fourier transform, z-transform, discrete Fourier transform and FFT, A/D conversion, and FIR and IIR filtering algorithms, as well as more advanced topics such as multirate systems, the discrete cosine transform and spectral signal processing. Over 600 full-color illustrations, 200 fully worked examples, hundreds of end-of-chapter homework problems and detailed computational examples of DSP algorithms implemented in MATLAB(R) and C aid understanding, and help put knowledge into practice. A wealth of supplementary material accompanies the book online, including interactive programs for instructors, a full set of solutions and MATLAB(R) laboratory exercises, making this the ideal text for senior undergraduate and graduate courses on digital signal processing.

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Details

  • ISBN-13: 9781108418447
  • ISBN-10: 1108418449
  • Publisher: Cambridge University Press
  • Publish Date: February 2021
  • Dimensions: 9.8 x 7.7 x 1.7 inches
  • Shipping Weight: 4.8 pounds
  • Page Count: 1058

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