• Title: Structure and Interpretation of Signals and Systems
• Author(s) Edward Ashford Lee, Pravin Varaiya
• Publisher: Lee and Varaiya; Second Edition; eBook (Online Edition)
• Hardcover: 726 pages
• eBook: PDF, ePud, Kindle, etc.
• Language: English
• ISBN-10/ASIN: B004Q0TSYO
• ISBN-13: N/A
• Share This:  

Book Description

Signals convey information. Systems transform signals. This book introduces the mathematical models used to design and understand both. It is intended for students interested in developing a deep understanding of how to digitally create and manipulate signals to measure and control the physical world and to enhance human experience and communication.

This book provides an accessible introduction to signals and systems for electrical engineering, computer engineering, and computer science students, and is based on several years of successful classroom use at the University of California, Berkeley.

The material starts with an early introduction to applications, well before students have built up enough theory to fully analyze the applications. This motivates students to learn the theory and allows students to master signals and systems at the sophomore level. The material motivates signals and systems through sound and images, as opposed to circuits, and as such, calculus is the only prerequisite.

• N/A

• Amazon

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

• Structure and Interpretation of Signals and Systems (Edward Ashford Lee, et al)
• The Mirror Site (1) - PDF, ePub, and Kindle, etc.

• Signals and Systems (Michael D. Adams)

  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.

• 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.