Digital Signal Processing 101: Everything You Need to Know to Get Started
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 has eight new chapters on:

  • Automotive Radar Signal Processing
  • Space-Time Adaptive Processing Radar
  • Field Orientated Motor Control
  • Matrix Inversion algorithms
  • GPUs for computing
  • Machine Learning
  • Entropy and Predictive Coding
  • Video compression
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Digital Signal Processing 101: Everything You Need to Know to Get Started
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 has eight new chapters on:

  • Automotive Radar Signal Processing
  • Space-Time Adaptive Processing Radar
  • Field Orientated Motor Control
  • Matrix Inversion algorithms
  • GPUs for computing
  • Machine Learning
  • Entropy and Predictive Coding
  • Video compression
64.95 In Stock
Digital Signal Processing 101: Everything You Need to Know to Get Started

Digital Signal Processing 101: Everything You Need to Know to Get Started

by Michael Parker
Digital Signal Processing 101: Everything You Need to Know to Get Started

Digital Signal Processing 101: Everything You Need to Know to Get Started

by Michael Parker

eBook

$64.95 

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Overview

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 has eight new chapters on:

  • Automotive Radar Signal Processing
  • Space-Time Adaptive Processing Radar
  • Field Orientated Motor Control
  • Matrix Inversion algorithms
  • GPUs for computing
  • Machine Learning
  • Entropy and Predictive Coding
  • Video compression

Product Details

ISBN-13: 9780128114544
Publisher: Butterworth-Heinemann
Publication date: 06/28/2017
Sold by: Barnes & Noble
Format: eBook
Pages: 432
File size: 85 MB
Note: This product may take a few minutes to download.

About the Author

Michael Parker is responsible for Intel's FPGA division digital signal processing (DSP) product planning. This includes Variable Precision FPGA silicon architecture for DSP applications, DSP tool development, floating point tools, IP and video IP. He joined Altera (now Intel) in January 2007, and has over 20 years of previous DSP engineering design experience with companies such as Alvarion, Soma Networks, Avalcom, TCSI, Stanford Telecom and several startup companies. He holds an MSEE from Santa Clara University, and BSEE from Rensselaer Polytechnic Institute.
Michael Parker is responsible for Intel’s FPGA division digital signal processing (DSP) product planning. This includes Variable Precision FPGA silicon architecture for DSP applications, DSP tool development, floating point tools, IP and video IP. He joined Altera (now Intel) in January 2007, and has over 20 years of previous DSP engineering design experience with companies such as Alvarion, Soma Networks, Avalcom, TCSI, Stanford Telecom and several startup companies. He holds an MSEE from Santa Clara University, and BSEE from Rensselaer Polytechnic Institute.

Table of Contents

Numerical Representation; Complex Numbers and Exponentials; Sampling, Aliasing, and Quantization; Frequency Response; Finite Impulse Response (FIR) Filters; Windowing; Decimation and Interpolation; Infinite Impulse Response (IIR) Filters; Complex Modulation and Demodulation; Discrete and Fast Fourier Transforms (DFT, FFT); Numerically Controlled Oscillators; Digital Up and Down Conversion; Error Corrective Coding; CDMA Modulation and Demodulation; OFDM Modulation and Demodulation; Discrete Cosine Transform (DCT); Video and Image Processing; Video Compression and Decompression; Implementation Using Digital Signal Processors; Implementation Using FPGAs; Design and Debug Methodology Trends; Future Implementation Trends; Q Format Shift with Fractional Multiplication; Evaluation of FIR Design Error Minimization; Laplace Transform; Z Transform

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This updated, comprehensive overview of digital signal processing features numerous easy-to-understand examples to help guide readers through difficult concepts

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