The Scientist & Engineer's Guide to Digital Signal Processing

by Steven W. Smith

Clear and concise explanations of practical DSP techniques. Written for scientists and engineers needing the power of DSP, but not the abstract theory and detailed mathematics.

Genres: Engineering, Science, Nonfiction, Mathematics, Electrical Engineering, Technical, Programming

626 pages, Hardcover

First published January 1, 1997

Reviews

[Shawn · Rating 5 out of 5]

Must read for all electrical engineers. So far on Chapter 3 just learned more about hooking up ADCs and DACs than I knew before. Pretty simple read, and should be easy to simulate examples.. Got through it. Shows easy way to make filters, and other DSP algorithms, without getting lost in the math. I should be able to see if I can code some of these and make them work. Matlab seems great for this also, with a filterbuilder app. This allows you to fill in what you want in a filter and it will give you the coefficients you want. Very handy indeed for learning about basic DSP programming and algorithms. highly recommend for EEs that want to learn how to build a digital filter.

[WryPriest · Rating 5 out of 5]

The late 20th century's early modern hardware/software signal processing was the digital network infrastructure upon which the "deep tech cluster" of recent decades was developed. These days DSP is a niche focus or specialized topic of interest, no longer mandatory study in curriculums for learning or working with statistics, data, programming, training artificial neural networks. But DSP frameworks themselves originated or have since been integrated into modern architecture or development libraries for data, statistics, compression, analysis, and so on. Most "overview/introduction" books of this sort are too simplistic or idiosyncratic, but here much is covered and in a broad enough presentation that it helps bridge together other texts at various points in the progress of DSP study.

'SEG2DSP' is an accessible overview from the later end of the DSP generational arc (published in 1997 originally). The goal of this book is to make DSP understandable and useable for those without a specialization in related fields or without studying any of the DSP curriculums in universities during the 1980s or 1990s. Instead of a comprehensive breakdown of the math or software used in DSP, all the reader needs is understanding of calculus math—and even this only conceptually, as all technical aspects are mirrored in the book using BASIC programming (which today can be replicated with a language of the reader's choice). Although this one claims to be for the scientist and engineer, it's (especially 20+ years later) ideal for the digital self-learner who needs or wants to learn DSP for modern development or similar use (i.e. in audio software, developing customized image processing, learning the umbrella of Fourier transforms).

[Steve Agland · Rating 5 out of 5]

Excellent introduction to the theory of digital signal processing! Easy to read as an CS engineer in a loosely adjacent field who'd never really studied this topic specifically. I got most of the way through I but skipped the chapters on (now well obsolete) hardware discussions and the advanced complex number theory at the end because, well, you have to pick your battles.

Well structured, clearly written and with appropriately chosen tangents into background theory and applications. Also: a superb price tag.

[Brandon · Rating 5 out of 5]

One of the best books I have ever read. It is a surprisingly easy read and has helped to clear away the confusion I have had in many EE, CS and DSP topics. It may be one of the fundamental building blocks for my career.

[Mohamed Waheed · Rating 5 out of 5]

Deserves so much more than just 5 stars, this book is pure gold!

[RedBrick · Rating 5 out of 5]

Easily one of the most readable computer science books I've come across.

[Samuel Smyczek · Rating 5 out of 5]

Helped with my EE. Thanks Steven.

[Tawfeeq Amro · Rating 5 out of 5]

Very Simple and easy to understand i love this book <3