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Fundamentals of Signals and Systems Using the Web and MATLAB

ISBN-10: 0131687379

ISBN-13: 9780131687370

Edition: 3rd 2007 (Revised)

Authors: Bonnie S. Heck, Edward W. Kamen

List price: $233.00
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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. nbsp; nbsp; nbsp;
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Book details

List price: $233.00
Edition: 3rd
Copyright year: 2007
Publisher: Prentice Hall PTR
Publication date: 7/11/2006
Binding: Hardcover
Pages: 672
Size: 7.00" wide x 9.25" long x 1.25" tall
Weight: 2.662
Language: English

Fundamental Concepts
Continuous-Time Signals
Discrete-Time Signals
Examples of Systems
Basic System Properties
Chapter Summary
Time-Domain Models of Systems
Input/Output Representation of Discrete-Time Systems
Convolution of Discrete-Time Signals
Difference Equation Models
Differential Equation Models
Solution of Differential Equations
Convolution Representation of Continuous-Time Systems
Chapter Summary
The Fourier Series and Fourier Transform
Representation of Signals in Terms of Frequency Components
Trigonometric Fourier Series
Complex Exponential Series
Fourier Transform
Spectral Content of Common Signals
Properties of the Fourier Transform
Generalized Fourier Transform
Application to Signal Modulation and Demodulation
Chapter Summary
Fourier Analysis of Discrete-Time Signals
Discrete-Time Fourier Transform
Discrete Fourier Transform
DFT of Truncated Signals
FFT Algorithm
Application to Data Analysis
Chapter Summary
Fourier Analysis of Systems
Fourier Analysis of Continuous-Time Systems
Response to Periodic and Nonperiodic Inputs
Analysis of Ideal Filters
Fourier Analysis of Discrete-Time Systems
Application to Lowpass Digital Filtering
Chapter Summary
The Laplace Transform and the Transfer Function Representation
Laplace Transform of a Signal
Properties of the Laplace Transform
Computation of the Inverse Laplace Transform
Transform of the Input/Output Differential Equation
Transform of the Input/Output Convolution Integral
Direct Construction of the Transfer Function
Chapter Summary
The z-Transform and Discrete-Time Systems
z-Transform of a Discrete-Time Signal
Properties of the z-Transform
Computation of the Inverse z-Transform
Transfer Function Representation
System Analysis Using the Transfer Function Representation
Chapter Summary
Analysis of Continuous-Time Systems by Use of the Transfer Function Representation
Stability and the Impulse Response
Routh-Hurwitz Stability Test
Analysis of the Step Response
Response to Sinusoids and Arbitrary Inputs
Frequency Response Function
Causal Filters
Chapter Summary
Application to Control
Introduction to Control
Tracking Control
Root Locus
Application to Control System Design
Chapter Summary
Design of Digital Filters and Controllers
Design of IIR Filters
Design of IIR Filters Using MATLAB
Design of FIR Filters
Design of Digital Controllers
Chapter Summary
State Representation
State Model
Construction of State Models
Solution of State Equations
Discrete-Time Systems
Equivalent State Representations
Discretization of State Model
Chapter Summary
Brief Review of Complex Variables
Brief Review of Matrices