Signals and Systems with MATLAB Computing and Simulink Modeling, Fifth Edition | by Steven T. Karris | ISBN: 9781934404232 | Circuit Analysis with Laplace Transforms. Discrete Fourier Transform (DFT). Analog and Digital Filters



Written for junior and senior electrical and computer engineering students, this text is an introduction to signal and system analysis, digital signal processing, and the design of analog and digital filters. The text also serves as a self-study guide for professionals who want to review the fundamentals. The expanded fifth edition contains additional information on window functions, the cross correlation and autocorrelation functions, a discussion on nonlinear systems including an example that derives its describing function, as well as additional end-of-chapter exercises.
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by Steven T. Karris
2012
ISBN: 9781934404232

Containing information on window functions, cross correlation and autocorrelation functions, a discussion on nonlinear systems, as well as additional end-of-chapter exercises, this text introduces signal and system analysis, digital signal processing, and the design of analog and digital filters.

Signals and Systems with MATLAB Computing and Simulink Modeling, Fifth Edition

Product Description
Written for junior and senior electrical and computer engineering students, this text is an introduction to signal and system analysis, digital signal processing, and the design of analog and digital filters. The text also serves as a self-study guide for professionals who want to review the fundamentals. The expanded fifth edition contains additional information on window functions, the cross correlation and autocorrelation functions, a discussion on nonlinear systems including an example that derives its describing function, as well as additional end-of-chapter exercises.
item_dimensions: 40500 pounds
shipping_weight: 4.05 pounds
ASIN: 1934404233

$68.05

Table of Contents
Signals and Systems with MATLAB Computing and Simulin Modeling, Fifth Edition
Preface
Chapter 1 – Elementary Signals
1.1: Signals Described in Math Form
1.2: The Unit Step Function u0(t)
1.3: The Unit Ramp Function u1(t)
1.4: The Delta Function d(t)
1.5: Higher Order Delta Functions
1.6: Summary
1.7: End-of-Chapter Exercises and Solutions

Chapter 2 – The Laplace Transformation
2.1: Definition of the Laplace Transformation
2.2: Properties and Theorems of the Laplace Transform
2.3: Laplace Transforms of Common Functions of Time
2.4: Laplace Transform of Common Waveforms
2.5: Using MATLAB for Finding the Laplace Transforms of Time Functions
2.6: Summary
2.7: End-of-Chapter Exercises and Solutions

Chapter 3 – The Inverse Laplace Transformation
3.1: The Inverse Laplace Transform Integral
3.2: Partial Fraction Expansion
3.3: Case where F(s) is Improper Rational Function
3.4: Alternate Method of Partial Fraction Expansion
3.5: Summary
3.6: End-of-Chapter Exercises and Solutions

Chapter 4 – Circuit Analysis with Laplace Transforms
4.1: Circuit Transformation from Time to Complex Frequency
4.2: Complex Impedance Z(s)
4.3: Complex Admittance Y(s)
4.4: Transfer Functions
4.5: Using the Simulink Transfer Fcn Block
4.6: Summary
4.7: End-of-Chapter Exercises and Solutions

Chapter 5 – State Variables and State Equations
5.1: Expressing Differential Equations in State Equation Form
5.2: Solution of Single State Equations
5.3: The State Transition Matrix
5.4: Computation of the State Transition Matrix eAt
5.5: Eigenvectors
5.6: Circuit Analysis with State Variables
5.7: Relationship between State Equations and Laplace Transform
5.8: Summary
5.9: End-of-Chapter Exercises and Solutions

Chapter 6 – The Impulse Response and Convolution
6.1: The Impulse Response in Time Domain
6.2: Even and Odd Functions of Time
6.3: Convolution
6.4: Graphical Evaluation of the Convolution Integral
6.5: Circuit Analysis with the Convolution Integral
6.6: Summary
6.7: End-of-Chapter Exercises and Solutions

Chapter 7 – Fourier Series
7.1: Wave Analysis
7.2: Evaluation of the Coefficients
7.3: Symmetry in Trigonometric Fourier Series
7.4: Trigonometric Form of Fourier Series for Common Waveforms
7.5: Gibbs Phenomenon
7.6: Alternate Forms of the Trigonometric Fourier Series
7.7: Circuit Analysis with Trigonometric Fourier Series
7.8: The Exponential Form of the Fourier Series
7.9: Symmetry in Exponential Fourier Series
7.10: Line Spectra
7.11: Computation of RMS Values from Fourier Series
7.12: Computation of Average Power from Fourier Series
7.13: Evaluation of Fourier Coefficients Using Excel®
7.14: Evaluation of Fourier Coefficients Using MATLAB®
7.15: Summary
7.16: Solutions to End?of?Chapter Exercises

Chapter 8 – The Fourier Transform
8.1: Definition and Special Forms
8.2: Special Forms of the Fourier Transform
8.3: Properties and Theorems of the Fourier Transform
8.4: Fourier Transform Pairs of Common Functions
8.5: Derivation of the Fourier Transform from the Laplace Transform
8.6: Fourier Transforms of Common Waveforms
8.7: Using MATLAB for Finding the Fourier Transform of Time Functions
8.8: The System Function and Applications to Circuit Analysis
8.9: Summary
8.10: End-of-Chapter Exercises and Solutions

Chapter 9 – Discrete-Time Systems and the Transform
9.1: Definition and Special Forms
9.2: Properties and Theorems of the Transform
9.3: The Transform of Common Discrete-Time Functions
9.4: Computation of the Transform with Contour Integration
9.5: Transformation Between s and z Domains
9.6: The Inverse Transform
9.7: The Transfer Function of Discrete-Time Systems
9.8: State Equations for Discrete-Time Systems
9.9: Summary
9.10: Solutions to End-of-Chapter Exercises

Chapter 10 – The DFT and the FFT Algorithm
10.1: The Discrete Fourier Transform (DFT)
10.2: Even and Odd Properties of the DFT
10.3: Common Properties and Theorems of the DFT
10.4: The Sampling Theorem
10.5: Number of Operations Required to Compute the DFT
The Fast Fourier Transform (FFT)
10.7: Summary
10.8: End-of-Chapter Exercises and Solutions

Chapter 11 – Analog and Digital Filters
11.1: Filter Types and Classifications
11.2: Basic Analog Filters
11.3: Low-Pass Analog Filter Prototypes
11.4: High–Pass, Band–Pass, and Band–Elimination Filter Design
11.5: Digital Filters
11.6: Digital Filter Design with Simulink
11.7: Summary
11.8: End-of-Chapter Exercises and Solutions

Appendix A – Introduction to MATLAB®
A.1: MATLAB® and Simulink®
A.2: Command Window
A.3: Roots of Polynomials
A.4: Polynomial Construction from Known Roots
A.5: Evaluation of a Polynomial at Specified Values
A.6: Rational Polynomials
A.7: Using MATLAB to Make Plots
A.8: Subplots
A.9: Multiplication, Division, and Exponentiation
A.10: Script and Function Files
A.11: Display Formats

Appendix B – Introduction to Simulink
B.1: Simulink and Its Relation to MATLAB
B.2: Simulink Demos

Appendix C – A Review of Complex Numbers
C.1: Definition of a Complex Number
C.2: Addition and Subtraction of Complex Numbers
C.3: Multiplication of Complex Numbers
C.4: Division of Complex Numbers
C.5: Exponential and Polar Forms of Complex Numbers

Appendix D – Matrices and Determinants
D.1: Matrix Definition
D.2: Matrix Operations
D.3: Special Forms of Matrices
D.4: Determinants
D.5: Minors and Cofactors
D.6: Cramer’s Rule
D.7: Gaussian Elimination Method
D.8: The Adjoint of a Matrix
D.9: Singular and Non-Singular Matrices
D.10: The Inverse of a Matrix
D.11: Solution of Simultaneous Equations with Matrices

Appendix E – Window Functions
E.1: Window Function Defined
E.2: Common Window Functions
E.3: Other Window Functions
E.4: Fourier Series Method for Approximating an FIR Amplitude Response

Appendix F – Correlation Functions
F.1: Cross Correlation
F.2: Autocorrelation

Appendix G – Nonlinear Systems
References and Suggestions for Further Study



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