Digital Signal Processing 101

Everything You Need to Know to Get Started

By: Michael Parker

Write A Review

eText | 28 June 2017 | Edition Number 2

At a Glance

Format
ePUB

New Edition

Published: 5th April 2010

Published: 26th May 2010

eText

$76.99

or 4 interest-free payments of $19.25 with

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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