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