Fundamentals of Signals and Systems Using the Web and MATLAB 3rd Global Edition

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
Fundamentals of Signals and Systems Using the Web and MATLAB
Actual ISBN
9781292025988
ISBN
9780131687370
Category

About this product

Product Identifiers

Publisher
Pearson Education
ISBN-10
0131687379
ISBN-13
9780131687370
eBay Product ID (ePID)
52752781

Product Key Features

Number of Pages
672 Pages
Publication Name
Fundamentals of Signals and Systems Using the Web and Matlab
Language
English
Subject
Signals & Signal Processing, System Theory
Publication Year
2006
Features
Revised
Type
Textbook
Subject Area
Technology & Engineering, Science
Author
Edward Kamen
Format
Hardcover

Dimensions

Item Height
1.6 in
Item Weight
45.6 Oz
Item Length
9.4 in
Item Width
7.3 in

Additional Product Features

Edition Number
3
Intended Audience
College Audience
LCCN
2006-286340
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
621.382/2
Edition Description
Revised edition
Table Of Content
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 2.7 Chapter Summary Problems 3 THE FOURIER SERIES AND FOURIER TRANSFORM 3.1 Representation of Signals in Terms of Frequency Components 3.2 Trigonometric Fourier Series 3.3 Complex Exponential Series 3.4 Fourier Transform 3.5 Spectral Content of Common Signals 3.6 Properties of the Fourier Transform 3.7 Generalized Fourier Transform 3.8 Application to Signal Modulation and Demodulation 3.9 Chapter Summary Problems 4 FOURIER ANALYSIS OF DISCRETE-TIME SIGNALS 4.1 Discrete-Time Fourier Transform 4.2 Discrete Fourier Transform 4.3 DFT of Truncated Signals 4.4 FFT Algorithm 4.5 Application to Data Analysis 4.6 Chapter Summary Problems 5 FOURIER ANALYSIS OF SYSTEMS 5.1 Fourier Analysis of Continuous-Time Systems 5.2 Response to Periodic and Nonperiodic Inputs 5.3 Analysis of Ideal Filters 5.4 Sampling 5.5 Fourier Analysis of Discrete-Time Systems 5.6 Application to Lowpass Digital Filtering 5.7 Chapter Summary Problems 6 THE LAPLACE TRANSFORM AND THE TRANSFER FUNCTION REPRESENTATION 6.1 Laplace Transform of a Signal 6.2 Properties of the Laplace Transform 6.3 Computation of the Inverse Laplace Transform 6.4 Transform of the Input/Output Differential Equation 6.5 Transform of the Input/Output Convolution Integral 6.6 Direct Construction of the Transfer Function 6.7 Chapter Summary Problems 7 THE z-TRANSFORM AND DISCRETE-TIME SYSTEMS 7.1 z -Transform of a Discrete-Time Signal 7.2 Properties of the z -Transform 7.3 Computation of the Inverse z -Transform 7.4 Transfer Function Representation 7.5 System Analysis Using the Transfer Function Representation 7.6 Chapter Summary &
Synopsis
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. 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., For a one-quarter or one-semster course on Signals and Systems. This new edition delivers an accessible yet comprehensive analytical introduction to continuous-time and discrete-time signals and systems. It also incorporates a strong emphasis on solving problems and exploring concepts, using demos, downloaded data, and MATLABo to demonstrate solutions for a wide range of problems in engineering and other fields such as financial data analysis. Its flexible structure adapts easily for courses taught by semester or by quarter., 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., For a one-quarter or one-semster course on Signals and Systems. This new edition delivers an accessible yet comprehensive analytical introduction to continuous-time and discrete-time signals and systems. It also incorporates a strong emphasis on solving problems and exploring concepts, using demos, downloaded data, and MATLAB' to demonstrate solutions for a wide range of problems in engineering and other fields such as financial data analysis. Its flexible structure adapts easily for courses taught by semester or by quarter.
LC Classification Number
TK5102.5

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