• Title: Signal Computing: Digital Signals in the Software Domain
• Author(s) Bilin Stiber, Michael D. Stiber, Eric C. Larson
• Publisher: University of Washiton (2016); eBook (Creative Commons Licensed, 2020)
• License(s): Creative Commons License (CC)
• Hardcover: N/A
• eBook: PDF
• Language: English
• ISBN-10/ASIN: N/A
• ISBN-13: N/A
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Book Description

This book teaches students how digital signals are captured, represented, processed, communicated, and stored in computers. building on the exceptionally readable coverage that made it the favorite of DSP professionals worldwide.

Digital signals place great demands on processing power, network bandwidth, storage capacity, I/O speed, and software design. As a result, signal computing is a great laboratory for exercising the full range of knowledge of computer science.

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), 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 user interfaces, information retrieval, data structures and algorithms, and communications.

• Eric C. Larson (@ec_larson) is an Assistant Professor in the Department of Computer Science and Engineering in the Bobby B. Lyle School of Engineering, Southern Methodist University.
• Bilin Stiber is a Lecturer at the University of Washington Bothell. She received an MS and Ph.D. from the Department of Biophysical Engineering, Osaka University (Osaka, Japan), where she was subsequently an Assistant Professor.
• Michael D. Stiber (@stiber) is Professor in the Computing & Software Systems Division at the University of Washington Bothell.

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• Digital Signal Processing (DSP), Sound and Imaging Processing
• Embedded Systems
• Electronics Circuit Design and Programming
• Electronic and Computer Engineering

• Signal Computing: Digital Signals in the Software Domain (Bilin Stiber, et al)
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