English | 2018 | ISBN: 0128114533 | 400 pages | True PDF | 15.3 MB

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
Features 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, and Video compression
Provides clear examples and a non-mathematical approach to get you up to speed quickly
Includes an overview of the DSP functions and implementation used in typical DSP-intensive applications, including error correction, CDMA mobile communication, and radar systems