Signals and Systems Using MATLAB.

Bibliographic Details
Main Authors:	Chaparro, Luis (Author), Akan, Aydin (Author)
Corporate Author:	Knovel (Firm)
Format:	eBook
Language:	English
Published:	Oxford : Academic Press [Imprint] Elsevier Science and Technology. Nov. 2018
Edition:	3rd ed.
Subjects:	Matlab (Computer Program) Signal processing > Digital techniques. System analysis. Systems Analysis Traitement du signal > Techniques numériques. Analyse de systèmes. systems analysis. Signal processing > Digital techniques System analysis Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Machine generated contents note: chapter 0 From the Ground Up
0.1.Introduction
0.2.Examples of Signal Processing Applications
0.2.1.Compact-Disc (CD) Player
0.2.2.Software-Defined Radio and Cognitive Radio
0.2.3.Computer-Control Systems
0.3.Implementation of Digital Signal Processing Algorithms
0.3.1.Microprocessors and Micro-Controllers
0.3.2.Digital Signal Processors
0.3.3.Field Programmable Gate Arrays
0.4.Continuous or Discrete?
0.4.1.Continuous and Discrete Representations
0.4.2.Derivatives and Finite Differences
0.4.3.Integrals and Summations
0.4.4.Differential and Difference Equations
0.5.Complex or Real?
0.5.1.Complex Numbers and Vectors
0.5.2.Functions of a Complex Variable
0.5.3.Phasors and Sinusoidal Steady State
0.5.4.The Phasor Connection
0.6.Soft Introduction to MATLAB
0.6.1.Numerical Computations
0.6.2.Symbolic Computations
0.7.Problems
0.7.1.Basic Problems
0.7.2.Problems Using MATLAB
chapter 1 Continuous-Time Signals
1.1.Introduction
1.2.Classification of Time-Dependent Signals
1.3.Continuous-Time Signals
1.3.1.Addition, Constant Multiplication, Time Shifting and Reflection
1.3.2.Even and Odd Signals
1.3.3.Periodic and Aperiodic Signals
1.3.4.Finite-Energy and Finite-Power Signals
1.4.Representation of Continuous-Time Signals Using Basic Signals
1.4.1.Complex Exponentials
1.4.2.Unit Step, Unit Impulse and Ramp Signals
1.4.3.Generic Representation of Signals
1.5.Time Scaling, Modulation, Windowing and Integration
1.6.Special Signals-the Sampling and the Sinc Signals
1.7.What Have We Accomplished? Where Do We Go From Here?
1.8.Problems
1.8.1.Basic Problems
1.8.2.Problems Using MATLAB
chapter 2 Continuous-lime Systems
2.1.Introduction
2.2.System Concept and Classification
2.3.Linear Time-Invariant (LTI) Continuous-Time Systems
2.3.1.Linearity
2.3.2.Time-Invariance
2.3.3.Representation of Systems by Ordinary Differential Equations
2.4.The Convolution Integral
2.4.1.Impulse Response and Convolution Integral
2.4.2.Interconnection of Systems-Block Diagrams
2.5.Causality
2.5.1.Graphical Computation of Convolution Integral
2.6.Bounded Input-Bounded Output Stability
2.7.What Have We Accomplished? Where Do We Go From Here?
2.8.Problems
2.8.1.Basic Problems
2.8.2.Problems Using MATLAB
chapter 3 The Laplace Transform
3.1.Introduction
3.2.The Two-Sided Laplace Transform
3.2.1.Eigenfunctions of LTI Systems
3.2.2.Region of Convergence
3.3.The One-Sided Laplace Transform
3.4.Properties of the One-Sided Laplace Transform
3.4.1.Linearity
3.4.2.Differentiation
3.4.3.Integration
3.4.4.Time-Shifting
3.4.5.Duality
3.4.6.Convolution Integral
3.5.Inverse Laplace Transform
3.5.1.Inverse of One-Sided Laplace Transforms
3.5.2.Inverse of Functions Containing e-Ps Terms
3.6.The Transfer Function of LTI Systems
3.7.Analysis of LTI Systems Represented by Differential Equations
3.8.Inverse of Two-Sided Laplace Transforms
3.9.What Have We Accomplished? Where Do We Go From Here?
3.10.Problems
3.10.1.Basic Problems
3.10.2.Problem Using MATLAB
chapter 4 Frequency Analysis: The Fourier Series
4.1.Introduction
4.2.Eigenfunctions Revisited
4.3.Complex Exponential Fourier Series
4.3.1.Line Spectrum-Power Distribution Over Frequency
4.3.2.Trigonometric Fourier Series
4.3.3.Fourier Series and Laplace Transform
4.3.4.Reflection and Even and Odd Periodic Signals
4.3.5.Convergence of the Fourier Series
4.3.6.Time and Frequency Shifting
4.4.Response of LTI Systems to Periodic Signals
4.4.1.Filtering of Periodic Signals
4.5.Operations Using Fourier Series
4.5.1.Sum of Periodic Signals
4.5.2.Multiplication of Periodic Signals
4.5.3.Derivatives and Integrals of Periodic Signals
4.5.4.Amplitude and Time Scaling of Periodic Signals
4.6.What Have We Accomplished? Where Do We Go From Here?
4.7.Problems
4.7.1.Basic Problems
4.7.2.Problems Using MATLAB
chapter 5 Frequency Analysis: The Fourier Transform
5.1.Introduction
5.2.From the Fourier Series to the Fourier Transform
5.3.Existence of the Fourier Transform
5.4.Fourier Transforms From the Laplace Transform
5.5.Linearity, Inverse Proportionality and Duality
5.5.1.Linearity
5.5.2.Inverse Proportionality of lime and Frequency
5.5.3.Duality
5.6.Spectral Representation
5.6.1.Signal Modulation
5.6.2.Fourier Transform of Periodic Signals
5.6.3.Parseval's Energy Relation
5.6.4.Symmetry of Spectral Representations
5.7.Convolution and Filtering
5.7.1.Basics of Filtering
5.7.2.Ideal Filters
5.7.3.Frequency Response From Poles and Zeros
5.7.4.The Spectrum Analyzer
5.8.Additional Properties
5.8.1.Time Shifting
5.8.2.Differentiation and Integration
5.9.What Have We Accomplished? What Is Next?
5.10.Problems
5.10.1.Basic Problems
5.10.2.Problems Using MATLAB
chapter 6 Application of Laplace Analysis to Control
6.1.Introduction
6.2.System Connections and Block Diagrams
6.3.Application to Classical Control
6.3.1.Stability and Stabilization
6.3.2.Transient Analysis of First- and Second-Order Control Systems
6.4.State-Variable Representation of LTI Systems
6.4.1.Canonical Realizations
6.4.2.Complete Solution From State and Output Equations
6.4.3.External and Internal Representation of Systems
6.5.What Have We Accomplished? What Is Next?
6.6.Problems
6.6.1.Basic Problems
6.6.2.Problems Using MATLAB
chapter 7 Fourier Analysis in Communications and Filtering
7.1.Introduction
7.2.Application to Communications
7.2.1.AM Suppressed Carrier (AM-SC)
7.2.2.Commercial AM
7.2.3.AM Single Sideband
7.2.4.Quadrature AM and Frequency Division Multiplexing
7.2.5.Angle Modulation
7.3.Analog Filtering
7.3.1.Filtering Basics
7.3.2.Butterworth Low-Pass Filter Design
7.3.3.Chebyshev Low-Pass Filter Design
7.3.4.Frequency Transformations
7.3.5.Filter Design With MATLAB
7.4.What Have We Accomplished? What Is Next?
7.5.Problems
7.5.1.Basic Problems
7.5.2.Problems Using MATLAB
chapter 8 Sampling Theory
8.1.Introduction
8.2.Uniform Sampling
8.2.1.Pulse Amplitude Modulation
8.2.2.Ideal Impulse Sampling
8.2.3.Reconstruction of the Original Continuous-Time Signal
8.2.4.Signal Reconstruction From Sinc Interpolation
8.2.5.The Nyquist-Shannon Sampling Theorem
8.2.6.Sampling Simulations With MATLAB
8.2.7.Sampling Modulated Signals
8.3.Practical Aspects of Sampling
8.3.1.Sample-and-Hold Sampling
8.3.2.Quantization and Coding
8.3.3.Sampling, Quantizing and Coding With MATLAB
8.4.Application to Digital Communications
8.4.1.Pulse Code Modulation
8.4.2.Time-Division Multiplexing
8.5.What Have We Accomplished? Where Do We Go From Here?
8.6.Problems
8.6.1.Basic Problems
8.6.2.Problems Using MATLAB
chapter 9 Discrete-Time Signals and Systems
9.1.Introduction
9.2.Discrete-Time Signals
9.2.1.Periodic and Aperiodic Discrete-Time Signals
9.2.2.Finite-Energy and Finite-Power Discrete-Time Signals
9.2.3.Even and Odd Discrete-Time Signals
9.2.4.Basic Discrete-Time Signals
9.3.Discrete-Time Systems
9.3.1.Recursive and Non-recursive Discrete-Time Systems
9.3.2.Dynamic Discrete-Time Systems Represented by Difference Equations
9.3.3.The Convolution Sum
9.3.4.Linear and Non-linear Filtering With MATLAB
9.3.5.Causality and Stability of Discrete-Time Systems
9.4.Two-Dimensional Discrete Signals and Systems
9.4.1.Two-Dimensional Discrete Signals
9.4.2.Two-Dimensional Discrete Systems
9.5.What Have We Accomplished? Where Do We Go From Here?
9.6.Problems
9.6.1.Basic Problems
9.6.2.Problems Using MATLAB
chapter.
10 The Z-transform
10.1.Introduction
10.2.Laplace Transform of Sampled Signals
10.3.Two-Sided Z-transform
10.3.1.Region of Convergence
10.4.One-Sided Z-transform
10.4.1.Signal Behavior and Poles
10.4.2.Computing Z-transforms With Symbolic MATLAB
10.4.3.Convolution Sum and Transfer Function
10.4.4.Interconnection of Discrete-Time Systems
10.4.5.Initial- and Final-Value Properties
10.5.One-Sided Z-transform Inverse
10.5.1.Long-Division Method
10.5.2.Partial Fraction Expansion
10.5.3.Inverse Z-transform With MATLAB
10.5.4.Solution of Difference Equations
10.5.5.Inverse of Two-Sided Z-transforms
10.6.State Variable Representation
10.7.Two-Dimensional Z-transform
10.8.What Have We Accomplished? Where Do We Go From Here?
10.9.Problems
10.9.1.Basic Problems
10.9.2.Problems Using MATLAB
chapter 11 Discrete Fourier Analysis
11.1.Introduction
11.2.The Discrete-Time Fourier Transform (DTFT)
11.2.1.Sampling, Z-transform, Eigenfunctions and the DTFT
11.2.2.Duality in Time and in Frequency
11.2.3.Computation of the DTFT Using MATLAB
11.2.4.Time and Frequency Supports
11.2.5.Decimation and Interpolation
11.2.6.Energy/Power of Aperiodic Discrete-Time Signals
11.2.7.Time and Frequency Shifts
11.2.8.Symmetry
11.2.9.Convolution Sum
11.3.Fourier Series of Discrete-Time Periodic Signals
11.3.1.Complex Exponential Discrete Fourier Series
11.3.2.Connection With the Z-transform
11.3.3.DTFT of Periodic Signals
11.3.4.Response of LTI Systems to Periodic Signals
11.3.5.Circular Shifting and Periodic Convolution
11.4.The Discrete Fourier Transform (DFT)
11.4.1.DFT of Periodic Discrete-Time Signals
11.4.2.DFT of Aperiodic Discrete-Time Signals
11.4.3.Computation of the DFT via the FFT
11.4.4.Linear and Circular Convolution
11.4.5.The Fast Fourier Transform Algorithm
11.4.6.Computation of the Inverse DFT
11.5.Two-Dimensional Discrete Transforms
11.6.What Have We Accomplished? Where Do We Go From Here?
11.7.Problems
11.7.1.Basic Problems
11.7.2.Problems Using MATLAB
Note continued: chapter 12 Introduction to the Design of Discrete Filters
12.1.Introduction
12.2.Frequency Selective Discrete Filters
12.2.1.Phase Distortion
12.2.2.IIR and FIR Discrete Filters
12.3.Filter Specifications
12.3.1.Frequency Specifications
12.3.2.Time Domain Specifications
12.4.IIR Filter Design
12.4.1.Transformation Design of IIR Discrete Filters
12.4.2.Design of Butterworth Low-Pass Discrete Filters
12.4.3.Design of Chebyshev Low-Pass Discrete Filters
12.4.4.Rational Frequency Transformations
12.4.5.General IIR Filter Design With MATLAB
12.5.FIR Filter Design
12.5.1.Window Design Method
12.5.2.Window Functions
12.5.3.Linear Phase and Symmetry of the Impulse Response
12.6.Realization of Discrete Filters
12.6.1.Realization of 1W Filters
12.6.2.Realization of FIR Filters
12.7.Two-Dimensional Filtering of Images
12.7.1.Spatial Filtering
12.7.2.Frequency Domain Filtering
12.8.What Have We Accomplished? Where Do We Go From Here?
12.9.Problems
12.9.1.Basic Problems
12.9.2.Problems Using MATLAB
Trigonometric Relations
Calculus.