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  5. Fundamentals of Signals and Systems Using the Web and MATLAB

Fundamentals of Signals and Systems Using the Web and MATLAB, 3rd edition

  • Edward Kamen
  • Bonnie S Heck

Published by Pearson (July 11th 2006) - Copyright © 2007

3rd edition

Fundamentals of Signals and Systems Using the Web and MATLAB

ISBN-13: 9780131687370

Includes: Hardcover
Free delivery
$197.32 $246.65

What's included

  • Hardcover

    You'll get a bound printed text.

Overview

With a strong emphasis on solving problems and exploring concepts, this guidebook delivers an accessible yet comprehensive introduction to continuous-time and discrete-time signals and systems. KEY TOPICS: Discusses how to download signals (time series) from the Web and analyze the data. Includes details on common types of digital filters, such as moving average and exponential moving average filters, with applications to filtering data downloaded from the Web. Addresses signal analysis using the DFT to extract the dominant cyclic components of a signal. Addresses the issue of noise, which often arises in engineering, business, finance, and other fields. For those interested in learning more about signals and systems.

 

 

 

Table of contents

Preface                                                                                                                                                                              

1          FUNDAMENTAL CONCEPTS                                                                                                                                   

1.1    Continuous-Time Signals

1.2    Discrete-Time Signals

1.3    Systems

1.4    Examples of Systems  

1.5    Basic System Properties  

         1.6     Chapter Summary

Problems  

2          TIME-DOMAIN MODELS OF SYSTEMS                                                                                                                

2.1    Input/Output Representation of Discrete-Time Systems

2.2    Convolution of Discrete-Time Signals

2.3    Difference Equation Models

2.4    Differential Equation Models

2.5    Solution of Differential Equations

2.6    Convolution Representation of Continuous-Time Systems

         &nbs

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