|Fundamentals of Signals and Systems Using the Web and MATLAB||
Fundamentals of Signals and Systems Using the Web and MATLAB
|102.00||approx. 7-9 days|
For a one-quarter or one-semster course on Signals and Systems.
This 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.
• Completely updated Companion Web-site (http://users.ece.gatech.edu/~bonnie/book3) — Includes new and modified MATLAB M-files and data files used in the Third Edition, plus additional worked problems, on-line demos, and a MATLAB tutorial.
• Substantially revised material on signals — 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.
• New section with examples of Fourier transforms — Illustrates the spectral content of common types of signals.
• Significantly restructured for greater usability — Reduces the degree of mathematical complexity and includes new practical applications involving downloaded data and other illustrations.
• New illustrations and end-of-chapter summaries — Give additional insight into the meaning and significance of the mathematical formulations and material covered in each chapter.
• Flexible organization of content — Allows instructors to adapt the presentation for use in either a one-quarter or one-semester course.
• Focus on the problem of data analysis in the presence of noise — Addresses the issue of noise, which often arises in engineering, business, finance, and other fields.
• Major enhancement of the MATLAB component — Uses the MATLAB
Symbolic Math Toolbox throughout the text to complement and simplify various computational aspects of the theory and examples provided. Examples illustrate how this tool can be used to solve differential equations, evaluate integrals for computing system responses, and for computing Fourier and Laplace transforms, and inverse transforms, including inverse z-transforms.
• Enhanced material on control systems — Includes the description of a digital control lab project based on a LEGO® Mindstorm kit, which provides students with hands-on experience in designing and implementing digital controllers for a dc motor.
1 FUNDAMENTAL CONCEPTS
1.1 Continuous-Time Signals
1.2 Discrete-Time Signals
1.4 Examples of Systems
1.5 Basic System Properties
1.6 Chapter Summary
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
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
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
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
5.5 Fourier Analysis of Discrete-Time Systems
5.6 Application to Lowpass Digital Filtering
5.7 Chapter Summary
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
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
8 ANALYSIS OF CONTINUOUS-TIME SYSTEMS USING THE TRANSFER FUNCTION REPRESENTATION
8.1 Stability and the Impulse Response
8.2 Routh—Hurwitz Stability Test
8.3 Analysis of the Step Response
8.4 Response to Sinusoids and Arbitrary Inputs
8.5 Frequency Response Function
8.6 Causal Filters
8.7 Chapter Summary
9 APPLICATION TO CONTROL
9.1 Introduction to Control
9.2 Tracking Control
9.3 Root Locus&nb