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Signals and systems using MATLAB

Author: Luis F Chaparro
Publisher: Amsterdam : Elsevier, Academic Press, 2015.
Edition/Format:   Print book : English : 2nd editionView all editions and formats
Summary:

Provides a pedagogically approach to what can commonly be a mathematically dry subject. This book introduces both continuous and discrete systems early, then studies each (separately) in more depth  Read more...

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Document Type: Book
All Authors / Contributors: Luis F Chaparro
ISBN: 9780123948120 0123948126
OCLC Number: 868077453
Notes: Previous edition: 2011.
Description: xxiii, 855 pages : illustrations ; 24 cm
Contents: Machine generated contents note: ch. 0 From the Ground Up! --
Introduction --
Examples of Signal Processing Applications --
Compact-Disk (CD) Player --
Software-Defined Radio and Cognitive Radio --
Computer-Control Systems --
Continuous or Discrete? --
Continuous and Discrete Representations --
Derivatives and Finite Differences --
Integrals and Summations --
Differential and Difference Equations --
Complex or Real? --
Complex Numbers and Vectors --
Functions of a Complex Variable --
Phasors and Sinusoidal Steady State --
The Phasor Connection --
Soft Introduction to MATLAB --
Numerical Computations --
Symbolic Computations --
Problems --
Basic Problems --
Problems Using MATLAB --
ch. 1 Continuous-time Signals --
Introduction --
Classification of Time-Dependent Signals --
Continuous-time Signals --
Basic Signal Operations-Time-Shifting and Reflection --
Even and Odd Signals --
Periodic and Aperiodic Signals --
Finite-Energy and Finite-Power Signals Note continued: Representation of Continuous-time Signals Using Basic Signals --
Complex Exponentials --
Unit-step, Unit-impulse, and Ramp Signals --
Generic Representation of Signals --
Special Signals-The Sampling and the Sinc Signals --
Basic Signal Operations-Time Scaling, Frequency Shifting, and Windowing --
What Have We Accomplished? Where Do We Go from Here? --
Problems --
Basic Problems --
Problems Using MATLAB --
ch. 2 Continuous-time Systems --
Introduction --
System Concept and Classification --
Linear Time-Invariant (LTI) Continuous-time Systems --
Linearity --
Time-invariance --
The Convolution Integral --
Causality --
Graphical Computation of Convolution Integral --
Bounded-Input Bounded-Output (BIBO) Stability --
What Have We Accomplished? Where Do We Go from Here? --
Problems --
Basic Problems --
Problems Using MATLAB --
ch. 3 The Laplace Transform --
Introduction --
The Two-Sided Laplace Transform --
Eigenfunctions of LTI Systems Note continued: Region of Convergence --
The One-sided Laplace Transform --
Properties of the One-sided Laplace Transform --
Linearity --
Differentiation --
Integration --
Time-shifting --
Convolution Integral --
Inverse Laplace Transform --
Inverse of One-sided Laplace Transforms --
Inverse of Functions Containing e -Ps Terms --
Inverse of Two-sided Laplace Transforms --
Analysis of LTI Systems --
LTI Systems Represented by Ordinary Differential Equations --
Computation of the Convolution Integral --
What Have We Accomplished? Where Do We Go from Here? --
Problems --
Basic Problems --
Problems Using MATLAB --
ch. 4 Frequency Analysis: The Fourier Series --
Introduction --
Eigenfunctions Revisited --
Complex Exponential Fourier Series --
Line Spectrum-Power Distribution over Frequency --
Trigonometric Fourier Series --
Fourier Coefficients from Laplace --
Reflection and Even and Odd Periodic Signals --
Convergence of the Fourier Series --
Time and Frequency Shifting Note continued: Response of LTI Systems to Periodic Signals --
Filtering of Periodic Signals --
Operations Using Fourier Series --
Sum of Periodic Signals --
Multiplication of Periodic Signals --
Derivatives and Integrals of Periodic Signals --
What Have We Accomplished? Where Do We Go from Here? --
Problems --
Basic Problems --
Problems Using MATLAB --
ch. 5 Frequency Analysis: The Fourier Transform --
Introduction --
From the Fourier Series to the Fourier Transform --
Existence of the Fourier Transform --
Fourier Transforms from the Laplace Transform --
Linearity, Inverse Proportionality, and Duality --
Linearity --
Inverse Proportionality of Time and Frequency --
Duality --
Spectral Representation --
Signal Modulation --
Fourier Transform of Periodic Signals --
Parseval's Energy Relation --
Symmetry of Spectral Representations --
Convolution and Filtering --
Basics of Filtering --
Ideal Filters --
Frequency Response from Poles and Zeros --
The Spectrum Analyzer Note continued: Additional Properties --
Time-shifting --
Differentiation and Integration --
What Have We Accomplished? What is Next? --
Problems --
Basic Problems --
Problems Using MATLAB --
ch. 6 Application of Laplace Analysis to Control --
Introduction --
System Connections and Block Diagrams --
Application to Classical Control --
Stability and Stabilization --
Transient Analysis of First- and Second-Order Control Systems --
State-Variable Representation of LTI Systems --
Canonical Realizations --
Complete Solution from State and Output Equations --
External and Internal Representation of Systems --
What Have We Accomplished? What is Next? --
Problems --
Basic Problems --
Problems Using MATLAB --
ch. 7 Fourier Analysis in Communications and Filtering --
Introduction --
Application to Communications --
AM Suppressed Carrier (AM-SC) --
Commercial AM --
AM Single Side-band --
Quadrature AM and Frequency Division Multiplexing --
Angle Modulation --
Analog Filtering Note continued: Filtering Basics --
Butterworth Lowpass Filter Design --
Chebyshev Lowpass Filter Design --
Frequency Transformations --
Filter Design with MATLAB --
What Have We Accomplished? What is Next? --
Problems --
Basic Problems --
Problems Using MATLAB --
ch. 8 Sampling Theory --
Introduction --
Uniform Sampling --
Pulse Amplitude Modulation --
Ideal Impulse Sampling --
Reconstruction of the Original Continuous-time Signal --
Signal Reconstruction from Sinc Interpolation --
The Nyquist-Shannon Sampling Theorem --
Sampling Simulations with MATLAB --
Sampling Modulated Signals --
Practical Aspects of Sampling --
Sample-and-Hold Sampling --
Quantization and Coding --
Sampling, Quantizing, and Coding with MATLAB --
Application to Digital Communications --
Pulse Code Modulation --
Time-Division Multiplexing --
What Have We Accomplished? Where Do We Go from Here? --
Problems --
Basic Problems --
Problems Using MATLAB --
ch. 9 Discrete-time Signals and Systems Note continued: Introduction --
Discrete-time Signals --
Periodic and Aperiodic Signals --
Finite Energy and Finite Power Discrete-time Signals --
Even and Odd Signals --
Basic Discrete-time Signals --
Discrete-time Systems --
Recursive and Non-Recursive Discrete-time Systems --
Dynamic Discrete-time Systems Represented by Difference Equations --
The Convolution Sum --
Linear and Non-linear Filtering with MATLAB --
Causality and Stability of Discrete-Time Systems --
hat Have We Accomplished? Where Do We Go from Here? --
Problems --
Basic Problems --
Problems Using MATLAB --
ch. 10 The Z-transform --
Introduction --
Laplace Transform of Sampled Signals --
Two-Sided Z-transform --
Region of Convergence --
One-sided Z-transform --
Signal Behavior and Poles --
Computing Z-transforms with Symbolic MATLAB --
Convolution Sum and Transfer Function --
Interconnection of Discrete-Time Systems --
Initial and Final Value Properties --
One-sided Z-transform Inverse Note continued: Long-division Method --
Partial Fraction Expansion --
Inverse Z-transform with MATLAB --
Solution of Difference Equations --
Inverse of Two-sided Z-transforms --
State-Variable Representation --
What Have We Accomplished? Where Do We Go from Here? --
Problems --
Basic Problems --
Problems Using MATLAB --
ch. 11 Fourier Analysis of Discrete-time Signals and Systems --
Introduction --
The Discrete-Time Fourier Transform (DTFT) --
Sampling, Z-transform, Eigenfunctions, and the DTFT --
Duality in Time and in Frequency --
Computation of the DTFT Using MATLAB --
Time and Frequency Supports --
Energy/Power of Aperiodic Discrete-time Signals --
Time and Frequency Shifts --
Symmetry --
Convolution Sum --
Fourier Series of Discrete-time Periodic Signals --
Circular Representation of Discrete-time Periodic Signals --
Complex Exponential Discrete Fourier Series --
Connection with the Z-transform --
DTFT of Periodic Signals Note continued: Response of LTI Systems to Periodic Signals --
Circular Shifting and Periodic Convolution --
The Discrete Fourier Transform (DFT) --
DFT of Periodic Discrete-time Signals --
DFT of Aperiodic Discrete-time Signals --
Computation of the DFT via the FFT --
Linear and Circular Convolution --
The Fast Fourier Transform Algorithm --
Computation of the Inverse DFT --
What Have We Accomplished? Where Do We Go from Here? --
Problems --
Basic Problems --
Problems Using MATLAB --
ch. 12 Introduction to the Design of Discrete Filters --
Introduction --
Frequency Selective Discrete Filters --
Phase Distortion --
IIR and FIR Discrete Filters --
Filter Specifications --
Frequency Specifications --
Time-Domain Specifications --
IIR Filter Design --
Transformation Design of IIR Discrete Filters --
Design of Butterworth Low-pass Discrete Filters --
Design of Chebyshev Low-pass Discrete Filters --
Rational Frequency Transformations Note continued: General IIR Filter Design with MATLAB --
FIR Filter Design --
Window Design Method --
Window Functions --
Linear Phase and Symmetry of the Impulse Response --
Realization of Discrete Filters --
Realization of IIR Filters --
Realization of FIR Filters --
What Have We Accomplished? Where Do We Go from Here? --
Problems --
Basic Problems --
Problems Using MATLAB --
Trigonometric Relations --
Hyperbolic Trigonometry Relations --
Calculus.
Responsibility: Luis Chaparro.

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