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 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 and a minimum of 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 is intended for those who have absolutely no previous experience with DSP, but are comfortable with high-school-level math skills. It is also for those who work in or provide components for industries that are made possible by DSP. Sample industries include wireless mobile phone and infrastructure equipment, broadcast and cable video, DSL modems, satellite communications, medical imaging, audio, radar, sonar, surveillance, and electrical motor control. Dismayed when presented with a mass of equations as an explanation of DSP? This is the book for you! Clear examples and a non-mathematical approach gets you up to speed with DSP Includes an overview of the DSP functions and implementation used in typical DSP-intensive applications, including error correction, CDMA mobile communication, and radar systems

Genres: Engineering

264 pages, Kindle Edition

First published January 1, 2010

About the author

Michael Parker, born in 1963, is a DSP Technical Marketing Manager with Altera Corporation (a Silicon Valley manufacturer of PLDs, programmable logic devices).

Reviews

[Tyler · Rating 1 out of 5]

This is a disappointing book. It promises a primer into digital signal processing, yet fails to explain even simple concepts coherently.

An example of this is in chapter one’s explanation of 2s complement binary addition. This incredibly fundamental concept reads like it is being explained by someone who does not understand it.

While attempting to be light in the math department and focusing on high level concepts, I honestly think reading the opening sentence of a proof ridden DSP math textbook would offer a better understanding to core DSP principles.

This doesn’t even consider the numerous grammatical mistakes, at least one every other paragraph, that make the text almost unreadable.

I came looking for a primer into airborne radar processing, specifically with the intent to understand the computational workload for things like space time adaptive processing, and hoping for something lighter than a textbook or PHD thesis, but honestly would have gotten a better explanation from chatgpt.

[Darin · Rating 2 out of 5]

The author has industry experience applying signal processing. I read the book wanting that perspective as opposed to the typical academic approach to signal processing. The low rating is for the writing itself. I found myself having to reread some sections trying to understand what the author was saying, even on topics that I thought I already understood.