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Digital Signal Processing 101 : everything you know to get started / Michael Parker.

By: Material type: TextTextPublisher: Oxford, United Kingdom : Newnes is an imprint of Elsevier, [2017]Publisher: ©2017Edition: Second editionDescription: xvi, 415 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780128114537 (paperback)
Subject(s): LOC classification:
  • TK 5102.9  P37 2017
Summary: Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response. It does so using easy-to-understand examples with minimum mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction to CDMA mobile communication to airborne radar systems. This book has been updated to include the latest developments in Digital Signal Processing, and hasïŽeight new chapters on: Automotive Radar Signal Processing Space-Time Adaptive Processing RadarField Orientated Motor Control Matrix Inversion algorithms GPUs for computing Machine LearningEntropy and Predictive CodingVideo compression.
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Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Book Book TUP Manila Library General Circulation Section-GF TK 5102.9 P37 2017 (Browse shelf(Opens below)) c.1 Available P00031374
Book Book TUP Manila Library General Circulation Section-GF TK 5102.9 P37 2017 (Browse shelf(Opens below)) c.2 Available P00033638

Includes index.

Includes bibliographical references at the end of each chapters and index.

Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response. It does so using easy-to-understand examples with minimum mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction to CDMA mobile communication to airborne radar systems. This book has been updated to include the latest developments in Digital Signal Processing, and hasïŽeight new chapters on: Automotive Radar Signal Processing Space-Time Adaptive Processing RadarField Orientated Motor Control Matrix Inversion algorithms GPUs for computing Machine LearningEntropy and Predictive CodingVideo compression.

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