• Title: Signals and Systems
• Author(s) Michael D. Adams
• Publisher: Self-Publishing; eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Hardcover: N/A
• eBook: PDF (752 pages)
• Language: English
• ISBN-10/ASIN: N/A
• ISBN-13: N/A
• Share This:  

Book Description

This open access book provides a detailed introduction to continuous-time and discrete-time signals and systems, with a focus on both theory and applications. Many worked-through examples are provided.

• Michael D. Adams is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Victoria in Victoria, British Columbia, Canada.

• Amazon

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

• Signals and Systems (Michael D. Adams)
• The Mirror Site (1) - PDF
• Book Homepage (Most Recent Versions, Errata, etc.)

• Signals and Systems: Theory and Applications (Fawwaz T. Ulaby)

  Engineering applications of signals and systems are integrated into the presentation as equal partners with concepts and mathematical models, so the student knows how it all relates to engineering.

• Structure and Interpretation of Signals and Systems

  This book introduces the mathematical models used to design and understand both Signals and Systems. Developing a deep understanding of how to digitally create and manipulate signals to measure and control the physical world and communication.

• Signal Processing: A Mathematical Approach (Charles L. Byrne)

  This book is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment, with Fourier series, matrices, probability, and statistics, etc.

• Applied Signal Processing (Sadasivan Puthusserypady)

  This book tries to link between the analog and digital signal processing domains. Begins by explaining the fundamental concepts in analog signal processing and then progresses towards the digital signal processing.

• An Introduction to Digital Signal Processing (Stanley Mneney)

  This book aims at undergraduate students who have basic knowledge in C programming, Circuit Theory, Systems and Simulations, and Spectral Analysis, focuses on basic concepts of digital signal processing, MATLAB simulation and implementation.

• The Scientist and Engineer's Guide to Digital Signal Processing

  Written by a working scientist/engineer who has used DSP in his inventions and designs, this book will help design engineers on the job trying to master a tough subject that is now regarded as an essential engineering skill and put it to use.

• O'Reilly® Think DSP: Digital Signal Processing in Python

  This book is an introduction to signal processing and system analysis using a computational approach with Python as the programming language. It develops the important ideas incrementally, with a focus on applications.

• Signal Computing: Digital Signals in the Software Domain

  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.

• Foundations of Signal Processing (Martin Vetterli, et al)

  This comprehensive and engaging textbook introduces the basic principles and techniques of signal processing, from the fundamental ideas of signals and systems theory to real-world applications.