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

Parker, Michael

Softcover

ISBN 10: 0128114533 ISBN 13: 9780128114537

Publisher: Newnes, 2017

Synopsis

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 RadarField Orientated Motor Control Matrix Inversion algorithms GPUs for computing Machine LearningEntropy and Predictive CodingVideo compression

About this title

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.

From the Back Cover

Digital Signal Processing: 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

Edition details

• Publisher: Newnes
• Publication date: 2017
• ISBN 10: 0128114533
• ISBN 13: 9780128114537
• Binding: Paperback
• Language: English
• Edition number: 2
• Number of pages: 432