Signal Computing: Digital Signals in the Software Domain
Michael D. Stiber, University of Washington Bothell
Bilin Zhang Stiber, University of Washington Bothell
Eric C. Larson, Southern Methodist University
Copyright Year:
Publisher: Michael Stiber, Eric Larson
Language: English
Formats Available
Conditions of Use
Attribution-ShareAlike
CC BY-SA
Reviews
Reviews prior to 2020 are for a previous edition.
The text has some omissions which can easily filled in by an instructor read more
The text has some omissions which can easily filled in by an instructor
There are a number of small errors and imprecise statements that can be corrected by an instructor
The text is organized in chapters that can easily be extended
The authors clearly made an effort to make the text accessible, sometimes at the price of sacrificing mathematical rigor
Some referrals between chapters are imprecise or indicate intent only
The text is broken up into easily digestible modules
The flow/structure is good, but alternatives would be possible
I did not notice any interface issues
There are occasional very minor spelling/grammatical mistakes
It's a purely technical/mathematical text
Table of Contents
- Preface
- Signals in the Physical World
- Signals in the Computer
- Filtering and Feedforward Filters
- The Z-Transform and Convolution
- Feedback Filters
- Spectral Analysis
- Compression
- Audio & Video Compression and Coding
- Review and Conclusions
- Answers to Self-Test Exercises
- Index
Ancillary Material
About the Book
In this book, you will learn how digital signals are captured, represented, processed, communicated, and stored in computers. The specific topics we will cover include: physical properties of the source information (such as sound or images), devices for information capture (microphones, cameras), digitization, compression, digital signal representation (JPEG, MPEG), digital signal processing (DSP), signal analysis and feature extraction via re-representation as functions of frequency, and network communication. By the end of this book, you should understand the problems and solutions facing signal computing systems development in the areas of data structures and algorithms, data analytics, feature extraction, information retrieval, user interfaces, and communications.
About the Contributors
Authors
Michael D. Stiber, University of Washington Bothell
Bilin Zhang Stiber, University of Washington Bothell
Eric C. Larson, Southern Methodist University