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Signals and Systems: A MATLAB® Integrated Approach
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Signals and Systems: A MATLAB® Integrated Approach
by Oktay Alkin
Signals and Systems
Preliminaries
Dedication
Preface
Organization of the Material
To the Instructor
Supplementary Materials
Acknowledgments
Chapter 1 Signal Representation and Modeling
Chapter Objectives
1.1 Introduction
1.2 Mathematical Modeling of Signals
1.3 Continuous-Time Signals
1.3.1 Signal operations
Arithmetic operations
Time shifting
Time scaling
Time reversal
Integration and differentiation
1.3.2 Basic building blocks for continuous-time signals
Unit-impulse function
Unit-step function
Unit-pulse function
Unit-ramp function
Unit-triangle function
Sinusoidal signals
1.3.3 Impulse decomposition for continuous-time signals
1.3.4 Signal classifications
Real vs. complex signals
Periodic vs. non-periodic signals
Deterministic vs. random signals
1.3.5 Energy and power definitions
Energy of a signal
Time averaging operator
Power of a signal
Energy signals vs. power signals
RMS value of a signal
1.3.6 Symmetry properties
Even and odd symmetry
Decomposition into even and odd components
Symmetry properties for complex signals
Decomposition of complex signals
1.3.7 Graphical representation of sinusoidal signals using phasors
1.4 Discrete-Time Signals
1.4.1 Signal operations
Arithmetic operations
Time shifting
Time scaling
Time reversal
1.4.2 Basic building blocks for discrete-time signals
Unit-impulse function
Unit-step function
Unit-ramp function
Sinusoidal signals
1.4.3 Impulse decomposition for discrete-time signals
1.4.4 Signal classifications
Real vs. complex signals
Periodic vs. non-periodic signals
Periodicity of discrete-time sinusoidal signals
Deterministic vs. random signals
1.4.5 Energy and power definitions
Energy of a signal
Time averaging operator
Power of a signal
Energy signals vs. power signals
1.4.6 Symmetry properties
Even and odd symmetry
Decomposition into even and odd components
Symmetry properties for complex signals
Decomposition of complex signals
1.5 Further Reading
MATLAB Exercises
Problems
MATLAB Problems
MATLAB Projects
Figure 1.1
Figure 1.1
Figure 1.2
Figure 1.3
Figure 1.4
Figure 1.5
Figure 1.6
Figure 1.7
Figure 1.8
Figure 1.9
Figure 1.10
Figure 1.11
Figure 1.12
Figure 1.13
Figure 1.14
Figure 1.15
Figure 1.16
Figure 1.17
Figure 1.18
Figure 1.19
Figure 1.20
Figure 1.21
Figure 1.22
Figure 1.23
Figure 1.24
Figure 1.25
Figure 1.26
Figure 1.27
Figure 1.28
Figure 1.29
Figure 1.30
Figure 1.31
Figure 1.32
Figure 1.33
Figure 1.34
Figure 1.35
Figure 1.36
Figure 1.37
Figure 1.38
Figure 1.39
Figure 1.40
Figure 1.41
Figure 1.42
Figure 1.43
Figure 1.44
Figure 1.45
Figure 1.46
Figure 1.47
Figure 1.48
Figure 1.49
Figure 1.50
Figure 1.51
Figure 1.52
Figure 1.53
Figure 1.54
Figure 1.55
Figure 1.56
Figure 1.57
Figure 1.58
Figure 1.59
Figure 1.60
Figure 1.61
Figure 1.62
Figure 1.63
Figure 1.64
Figure 1.65
Figure 1.66
Figure 1.67
Figure 1.68
Figure 1.69
Figure 1.70
Figure 1.71
Figure 1.72
Figure 1.73
Figure 1.74
Figure 1.75
Figure 1.76
Figure 1.77
Figure 1.78
Figure 1.79
Figure 1.80
Figure 1.81
Figure 1.82
Figure 1.83
Figure 1.84
Figure 1.85
Figure 1.86
Figure 1.87
Figure 1.88
Figure 1.89
Figure 1.90
Figure 1.91
Figure 1.92
Figure 1.93
Figure P. 1.2
Figure P. 1.4
Figure P. 1.10
Figure P. 1.12
Figure P. 1.13
Figure P. 1.23
Figure P. 1.25
Figure P. 1.33
Figure P. 1.39
Figure P. 1.51
Chapter 2 Analyzing Continuous-Time Systems in the Time Domain
Chapter Objectives
2.1 Introduction
2.2 Linearity and Time Invariance
2.2.1 Linearity in continuous-time systems
2.2.2 Time invariance in continuous-time systems
2.2.3 CTLTI systems
2.3 Differential Equations for Continuous-Time Systems
2.4 Constant-Coefficient Ordinary Differential Equations
2.5 Solving Differential Equations
2.5.1 Solution of the first-order differential equation
2.5.2 Solution of the general differential equation
2.5.3 Finding the natural response of a continuous-time system
2.5.4 Finding the forced response of a continuous-time system
2.6 Block Diagram Representation of Continuous-Time Systems
Imposing initial conditions
2.7 Impulse Response and Convolution
2.7.1 Finding impulse response of a CTLTI system
2.7.2 Convolution operation for CTLTI systems
2.8 Causality in Continuous-Time Systems
Can a non-causal system be realized?
2.9 Stability in Continuous-Time Systems
Why is stability important for a CTLTI system?
2.10 Approximate Numerical Solution of a Differential Equation
2.11 Further Reading
MATLAB Exercises
Problems
MATLAB Problems
MATLAB Projects
Figure 2.1
Figure 2.1
Figure 2.2
Figure 2.3
Figure 2.4
Figure 2.5
Figure 2.6
Figure 2.7
Figure 2.8
Figure 2.9
Figure 2.10
Figure 2.11
Figure 2.12
Figure 2.13
Figure 2.14
Figure 2.15
Figure 2.16
Figure 2.17
Figure 2.18
Figure 2.19
Figure 2.20
Figure 2.21
Figure 2.22
Figure 2.23
Figure 2.24
Figure 2.25
Figure 2.26
Figure 2.27
Figure 2.28
Figure 2.29
Figure 2.30
Figure 2.31
Figure 2.32
Figure 2.33
Figure 2.34
Figure 2.35
Figure 2.36
Figure 2.37
Figure 2.38
Figure 2.39
Figure 2.40
Figure 2.41
Figure 2.42
Figure 2.43
Figure 2.44
Figure 2.45
Figure 2.46
Figure 2.47
Figure 2.48
Figure 2.49
Figure 2.50
Figure 2.51
Figure 2.52
Figure 2.53
Figure P. 2.2
Figure P. 2.4
Figure P. 2.5
Figure P. 2.12
Figure P. 2.17
Figure P. 2.18
Figure P. 2.19
Figure P. 2.20
Figure P. 2.23
Figure P. 2.24
Figure P. 2.30
Figure P. 2.36
Figure P. 2.37
Table 2.1
Table 2.1
Chapter 3 Analyzing Discrete-Time Systems in the Time Domain
Chapter Objectives
3.1 Introduction
3.2 Linearity and Time Invariance
3.2.1 Linearity in discrete-time systems
3.2.2 Time invariance in discrete-time systems
3.2.3 DTLTI systems
3.3 Difference Equations for Discrete-Time Systems
3.4 Constant-Coefficient Linear Difference Equations
3.5 Solving Difference Equations
3.5.1 Finding the natural response of a discrete-time system
3.5.2 Finding the forced response of a discrete-time system
3.6 Block Diagram Representation of Discrete-Time Systems
Imposing initial conditions
3.7 Impulse Response and Convolution
3.7.1 Finding impulse response of a DTLTI system
3.7.2 Convolution operation for DTLTI systems
3.8 Causality in Discrete-Time Systems
3.9 Stability in Discrete-Time Systems
Why is stability important for a DTLTI system?
3.10 Further Reading
MATLAB Exercises
Problems
MATLAB Problems
MATLAB Projects
Figure 3.1
Figure 3.1
Figure 3.2
Figure 3.3
Figure 3.4
Figure 3.5
Figure 3.6
Figure 3.7
Figure 3.8
Figure 3.9
Figure 3.10
Figure 3.11
Figure 3.12
Figure 3.13
Figure 3.14
Figure 3.15
Figure 3.16
Figure 3.17
Figure 3.18
Figure 3.19
Figure 3.20
Figure 3.21
Figure 3.22
Figure 3.23
Figure 3.24
Figure 3.25
Figure 3.26
Figure 3.27
Figure 3.28
Figure 3.29
Figure 3.30
Figure 3.31
Figure 3.32
Figure 3.33
Figure 3.34
Figure 3.35
Figure P. 3.3
Figure P. 3.19
Figure P. 3.20
Figure P. 3.21
Figure P. 3.22
Figure P. 3.32
Figure P. 3.35
Table 3.1
Table 3.1
Chapter 4 Fourier Analysis for Continuous-Time Signals and Systems
Chapter Objectives
4.1 Introduction
4.2 Analysis of Periodic Continuous-Time Signals
4.2.1 Approximating a periodic signal with trigonometric functions
4.2.2 Trigonometric Fourier series (TFS)
4.2.3 Exponential Fourier series (EFS)
Single-tone signals
The general case
4.2.4 Compact Fourier series (CFS)
4.2.5 Existence of Fourier series
4.2.6 Gibbs phenomenon
4.2.7 Properties of Fourier series
Linearity
Symmetry of Fourier series
Fourier series for even and odd signals
Time shifting
4.3 Analysis of Non-Periodic Continuous-Time Signals
4.3.1 Fourier transform
4.3.2 Existence of Fourier transform
4.3.3 Developing further insight
4.3.4 Fourier transforms of some signals
4.3.5 Properties of the Fourier transform
Linearity
Duality
Symmetry of the Fourier Transform
Transforms of even and odd signals
Time shifting
Frequency shifting
Modulation property
Time and frequency scaling
Differentiation in the time domain
Differentiation in the frequency domain
Convolution property
Multiplication of two signals
Integration
4.3.6 Applying Fourier transform to periodic signals
4.4 Energy and Power in the Frequency Domain
4.4.1 Parseval’s theorem
4.4.2 Energy and power spectral density
4.4.3 Autocorrelation
Properties of the autocorrelation function
4.5 System Function Concept
Obtaining the system function from the differential equation
4.6 CTLTI Systems with Periodic Input Signals
4.6.1 Response of a CTLTI system to complex exponential signal
4.6.2 Response of a CTLTI system to sinusoidal signal
4.6.3 Response of a CTLTI system to periodic input signal
4.7 CTLTI Systems with Non-Periodic Input Signals
4.8 Further Reading
MATLAB Exercises
Problems
MATLAB Problems
MATLAB Projects
Figure 4.1
Figure 4.1
Figure 4.2
Figure 4.3
Figure 4.4
Figure 4.5
Figure 4.6
Figure 4.7
Figure 4.8
Figure 4.9
Figure 4.10
Figure 4.11
Figure 4.12
Figure 4.13
Figure 4.14
Figure 4.15
Figure 4.16
Figure 4.17
Figure 4.18
Figure 4.19
Figure 4.20
Figure 4.21
Figure 4.22
Figure 4.23
Figure 4.24
Figure 4.25
Figure 4.26
Figure 4.27
Figure 4.28
Figure 4.29
Figure 4.30
Figure 4.31
Figure 4.32
Figure 4.33
Figure 4.34
Figure 4.35
Figure 4.36
Figure 4.37
Figure 4.38
Figure 4.39
Figure 4.40
Figure 4.41
Figure 4.42
Figure 4.43
Figure 4.44
Figure 4.45
Figure 4.46
Figure 4.47
Figure 4.48
Figure 4.49
Figure 4.50
Figure 4.51
Figure 4.52
Figure 4.53
Figure 4.54
Figure 4.55
Figure 4.56
Figure 4.57
Figure 4.58
Figure 4.59
Figure 4.60
Figure 4.61
Figure 4.62
Figure 4.63
Figure 4.64
Figure 4.65
Figure 4.66
Figure 4.67
Figure 4.68
Figure 4.69
Figure 4.70
Figure 4.71
Figure 4.72
Figure 4.73
Figure 4.74
Figure 4.75
Figure 4.76
Figure 4.77
Figure 4.78
Figure 4.79
Figure 4.80
Figure 4.81
Figure 4.82
Figure 4.83
Figure 4.84
Figure 4.85
Figure 4.86
Figure 4.87
Figure 4.88
Figure 4.89
Figure 4.90
Figure 4.91
Figure 4.92
Figure 4.93
Figure 4.94
Figure 4.95
Figure 4.96
Figure 4.97
Figure 4.98
Figure 4.99
Figure P. 4.2
Figure P. 4.5
Figure P. 4.7
Figure P. 4.8
Figure P. 4.11
Figure. P.4.14
Figure P. 4.19
Figure. P.4.20
Figure. P.4.23
Figure. P.4.31
Figure. P.4.34
Figure P. 4.47
Figure P. 4.48
Table 4.1
Table 4.1
Table 4.2
Table 4.3
Table 4.4
Table 4.5
Table 4.6
Chapter 5 Fourier Analysis for Discrete-Time Signals and Systems
Chapter Objectives
5.1 Introduction
5.2 Analysis of Periodic Discrete-Time Signals
5.2.1 Discrete-Time Fourier Series (DTFS)
Finding DTFS coefficients
5.2.2 Properties of the DTFS
Periodicity
Linearity
Time shifting
Symmetry of DTFS coefficients
Polar form of DTFS coefficients
DTFS spectra of even and odd signals
Periodic convolution
5.3 Analysis of Non-Periodic Discrete-Time Signals
5.3.1 Discrete-time Fourier transform (DTFT)
5.3.2 Developing further insight
5.3.3 Existence of the DTFT
5.3.4 DTFT of some signals
5.3.5 Properties of the DTFT
Periodicity
Linearity
Time shifting
Time reversal
Conjugation property
Symmetry of the DTFT
Cartesian and polar forms of the transform
Transforms of even and odd signals
Frequency shifting
Modulation property
Differentiation in the frequency domain
Convolution property
Multiplication of two signals
5.3.6 Applying DTFT to periodic signals
5.4 Energy and Power in the Frequency Domain
5.4.1 Parseval’s theorem
5.4.2 Energy and power spectral density
Energy or power in a frequency range
5.4.3 Autocorrelation
Properties of the autocorrelation function
5.5 System Function Concept
Obtaining the system function from the difference equation
5.6 DTLTI Systems with Periodic Input Signals
5.6.1 Response of a DTLTI system to complex exponential signal
5.6.2 Response of a DTLTI system to sinusoidal signal
5.6.3 Response of a DTLTI system to periodic input signal
5.7 DTLTI Systems with Non-Periodic Input Signals
5.8 Discrete Fourier Transform
5.8.1 Relationship of the DFT to the DTFT
5.8.2 Zero padding
5.8.3 Properties of the DFT
Linearity
Time shifting
Time reversal
Conjugation property
Symmetry of the DFT
Frequency shifting
Circular convolution
5.8.4 Using the DFT to approximate the EFS coefficients
5.8.5 Using the DFT to approximate the continuous Fourier transform
5.9 Further Reading
MATLAB Exercises
Problems
MATLAB Problems
MATLAB Projects
Figure 5.1
Figure 5.1
Figure 5.2
Figure 5.3
Figure 5.4
Figure 5.5
Figure 5.6
Figure 5.7
Figure 5.8
Figure 5.9
Figure 5.10
Figure 5.11
Figure 5.12
Figure 5.13
Figure 5.14
Figure 5.15
Figure 5.16
Figure 5.17
Figure 5.18
Figure 5.19
Figure 5.20
Figure 5.21
Figure 5.22
Figure 5.23
Figure 5.24
Figure 5.25
Figure 5.26
Figure 5.27
Figure 5.28
Figure 5.29
Figure 5.30
Figure 5.31
Figure 5.32
Figure 5.33
Figure 5.34
Figure 5.35
Figure 5.36
Figure 5.37
Figure 5.38
Figure 5.39
Figure 5.40
Figure 5.41
Figure 5.42
Figure 5.43
Figure 5.44
Figure 5.45
Figure 5.46
Figure 5.47
Figure 5.48
Figure 5.49
Figure 5.50
Figure 5.51
Figure 5.52
Figure 5.53
Figure 5.54
Figure 5.55
Figure 5.56
Figure 5.57
Figure P.5.3
Figure P.5.4
Figure P.5.8
Figure P.5.9
Figure P.5.37
Figure P.5.45
Table 5.1
Table 5.1
Table 5.2
Table 5.3
Table 5.4
Table 5.5
Table 5.6
Chapter 6 Sampling and Reconstruction
Chapter Objectives
6.1 Introduction
6.2 Sampling of a Continuous-Time Signal
6.2.1 Nyquist sampling criterion
6.2.2 DTFT of sampled signal
6.2.3 Sampling of sinusoidal signals
6.2.4 Practical issues in sampling
Natural sampling
Zero-order hold sampling
6.3 Reconstruction of a Signal from Its Sampled Version
6.4 Resampling Discrete-Time Signals
6.4.1 Reducing the sampling rate by an integer factor
6.4.2 Increasing the sampling rate by an integer factor
6.5 Further Reading
MATLAB Exercises
Problems
MATLAB Problems
MATLAB Projects
Figure 6.1
Figure 6.1
Figure 6.2
Figure 6.3
Figure 6.4
Figure 6.5
Figure 6.6
Figure 6.7
Figure 6.8
Figure 6.9
Figure 6.10
Figure 6.11
Figure 6.12
Figure 6.13
Figure 6.14
Figure 6.15
Figure 6.16
Figure 6.17
Figure 6.18
Figure 6.19
Figure 6.20
Figure 6.21
Figure 6.22
Figure 6.23
Figure 6.24
Figure 6.25
Figure 6.26
Figure 6.27
Figure 6.28
Figure 6.29
Figure 6.30
Figure 6.31
Figure 6.32
Figure 6.33
Figure 6.34
Figure 6.35
Figure 6.36
Figure 6.37
Figure 6.38
Figure 6.39
Figure 6.40
Figure 6.41
Figure 6.42
Figure 6.43
Figure 6.44
Figure 6.45
Figure 6.46
Figure 6.47
Figure 6.48
Figure 6.49
Figure 6.50
Figure 6.51
Figure 6.52
Figure 6.53
Figure 6.54
Figure 6.55
Figure 6.56
Figure 6.57
Figure P. 6.1
Figure P. 6.2
Figure P. 6.14
Figure P. 6.15
Figure P. 6.19
Table 6.1
Table 6.1
Chapter 7 Laplace Transform for Continuous-Time Signals and Systems
Chapter Objectives
7.1 Introduction
7.2 Characteristics of the Region of Convergence
7.3 Properties of the Laplace Transform
7.3.1 Linearity
7.3.2 Time shifting
7.3.3 Shifting in the s-domain
7.3.4 Scaling in time and s-domain
7.3.5 Differentiation in the time domain
7.3.6 Differentiation in the s-domain
7.3.7 Convolution property
7.3.8 Integration property
7.4 Inverse Laplace Transform
7.4.1 Partial fraction expansion with simple poles
7.4.2 Partial fraction expansion with multiple poles
7.5 Using the Laplace Transform with CTLTI Systems
7.5.1 Relating the system function to the differential equation
System function, linearity, and initial conditions
Characteristic polynomial vs. the denominator of the system function
7.5.2 Response of a CTLTI system to a complex exponential signal
7.5.3 Response of a CTLTI system to an exponentially damped sinusoid
7.5.4 Pole-zero plot for a system function
7.5.5 Graphical interpretation of the pole-zero plot
7.5.6 System function and causality
7.5.7 System function and stability
7.5.8 Allpass systems
7.5.9 Inverse systems
7.5.10 Bode plots
Zero at the origin
Pole at the origin
Single real zero
Single real pole
Conjugate pair of poles
Analysis of the second-order system
7.6. Simulation Structures for CTLTI Systems
7.6.1 Direct-form implementation
7.6.2 Cascade and parallel forms
7.7 Unilateral Laplace Transform
7.7.1 Time shifting
7.7.2 Differentiation in time
7.7.3 Initial and final value theorems
7.5 Further Reading
MATLAB Exercises
Problems
MATLAB Problems
MATLAB Projects
Figure 7.1
Figure 7.1
Figure 7.2
Figure 7.3
Figure 7.4
Figure 7.5
Figure 7.6
Figure 7.7
Figure 7.8
Figure 7.9
Figure 7.10
Figure 7.11
Figure 7.12
Figure 7.13
Figure 7.14
Figure 7.15
Figure 7.16
Figure 7.17
Figure 7.18
Figure 7.19
Figure 7.20
Figure 7.21
Figure 7.22
Figure 7.23
Figure 7.24
Figure 7.25
Figure 7.26
Figure 7.27
Figure 7.28
Figure 7.29
Figure 7.30
Figure 7.31
Figure 7.32
Figure 7.33
Figure 7.34
Figure 7.35
Figure 7.36
Figure 7.37
Figure 7.38
Figure 7.39
Figure 7.40
Figure 7.41
Figure 7.42
Figure 7.43
Figure 7.44
Figure 7.45
Figure 7.46
Figure 7.47
Figure 7.48
Figure 7.49
Figure 7.50
Figure 7.51
Figure 7.52
Figure 7.53
Figure 7.54
Figure 7.55
Figure 7.56
Figure 7.57
Figure 7.58
Figure 7.59
Figure 7.60
Figure 7.61
Figure 7.62
Figure 7.63
Figure 7.64
Figure 7.65
Figure 7.66
Figure 7.67
Figure 7.68
Figure 7.69
Figure 7.70
Figure 7.71
Figure 7.72
Figure 7.73
Figure 7.74
Figure 7.75
Figure 7.76
Figure 7.77
Figure 7.78
Figure 7.79
Figure 7.80
Figure P. 7.3
Figure P. 7.13
Figure P. 7.14
Figure P. 7.15
Figure P. 7.34
Figure P. 7.48
Figure P. 7.49
Chapter 8 z-Transform for Discrete-Time Signals and Systems
Chapter Objectives
8.1 Introduction
8.2 Characteristics of the Region of Convergence
8.3 Properties of the z-Transform
8.3.1 Linearity
8.3.2 Time shifting
8.3.3 Time reversal
8.3.4 Multiplication by an exponential signal
8.3.5 Differentiation in the z-domain
8.3.6 Convolution property
8.3.7 Initial value
8.3.8 Correlation property
8.3.9 Summation property
8.4 Inverse z-Transform
8.4.1 Inversion integral
8.4.2 Partial fraction expansion
8.4.3 Long division
8.5 Using the z-Transform with DTLTI Systems
8.5.1 Relating the system function to the difference equation
8.5.2 Response of a DTLTI system to complex exponential signal
8.5.3 Response of a DTLTI system to exponentially damped sinusoid
8.5.4 Graphical interpretation of the pole-zero plot
8.5.5 System function and causality
8.5.6 System function and stability
8.5.7 Allpass systems
8.5.8 Inverse systems
8.6 Implementation Structures for DTLTI Systems
8.6.1 Direct-form implementations
8.6.2 Cascade and parallel forms
8.7 Unilateral z-Transform
8.8 Further Reading
MATLAB Exercises
Problems
MATLAB Problems
MATLAB Project
Figure 8.1
Figure 8.1
Figure 8.2
Figure 8.3
Figure 8.4
Figure 8.5
Figure 8.6
Figure 8.7
Figure 8.8
Figure 8.9
Figure 8.10
Figure 8.11
Figure 8.12
Figure 8.13
Figure 8.14
Figure 8.15
Figure 8.16
Figure 8.17
Figure 8.18
Figure 8.19
Figure 8.20
Figure 8.21
Figure 8.22
Figure 8.23
Figure 8.24
Figure 8.25
Figure 8.26
Figure 8.27
Figure 8.28
Figure 8.29
Figure 8.30
Figure 8.31
Figure 8.32
Figure 8.33
Figure 8.34
Figure 8.35
Figure 8.36
Figure 8.37
Figure 8.38
Figure 8.39
Figure 8.40
Figure 8.41
Figure 8.42
Figure 8.43
Figure 8.44
Figure 8.45
Figure 8.46
Figure 8.47
Figure 8.48
Figure 8.49
Figure 8.50
Figure 8.51
Figure 8.52
Figure 8.53
Figure 8.54
Figure 8.55
Figure 8.56
Figure 8.57
Figure 8.58
Figure 8.59
Figure 8.60
Figure 8.61
Figure P. 8.3
Figure P. 8.33
Figure P. 8.56
Chapter 9 State-Space Analysis of Systems
Chapter Objectives
9.1 Introduction
9.2 State-Space Modeling of Continuous-Time Systems
9.2.1 State-space models for CTLTI systems
9.2.2 Obtaining state-space model from physical description
9.2.3 Obtaining state-space model from differential equation
9.2.4 Obtaining state-space model from system function
9.2.5 Alternative state-space models
9.2.6 CTLTI systems with multiple inputs and/or outputs
9.2.7 Solution of state-space model
9.2.8 Computation of the state transition matrix
9.2.9 Obtaining system function from state-space model
9.3 State-Space Modeling of Discrete-Time Systems
9.3.1 State-space models for DTLTI systems
9.3.2 Obtaining state-space model from difference equation
9.3.3 Obtaining state-space model from system function
9.3.4 Solution of state-space model
9.3.5 Obtaining system function from state-space model
9.4 Discretization of Continuous-Time State-Space Model
9.5 Further Reading
MATLAB Exercises
Problems
MATLAB Problems
Figure 9.1
Figure 9.1
Figure 9.2
Figure 9.3
Figure 9.4
Figure 9.5
Figure 9.6
Figure 9.7
Figure 9.8
Figure 9.9
Figure 9.10
Figure 9.11
Figure 9.12
Figure 9.13
Figure 9.14
Figure 9.15
Figure 9.16
Figure 9.17
Figure 9.18
Figure P. 9.3
Figure P. 9.4
Chapter 10 Analysis and Design of Filters
Chapter Objectives
10.1 Introduction
10.2 Distortionless Transmission
10.3 Ideal Filters
10.4 Design of Analog Filters
10.4.1 Butterworth lowpass filters
Obtaining N and ωc for the Butterworth lowpass filter
10.4.2 Chebyshev lowpass filters
Chebyshev polynomials
Poles for the Chebyshev lowpass filter
Obtaining N and ε for the Chebyshev lowpass filter
10.4.3 Inverse Chebyshev lowpass filters
Poles and zeros of the inverse Chebyshev filter
Obtaining N and ε for the inverse Chebyshev lowpass filter
10.4.4 Analog filter transformations
Lowpass to highpass transformation
Lowpass to bandpass transformation
Lowpass to band-reject transformation
10.5 Design of Digital Filters
10.5.1 Design of IIR filters
Analog to discrete-time conversion
Impulse invariance
Bilinear transformation
Obtaining analog prototype specifications
10.5.2 Design of FIR filters
Conditions for linear phase
Fourier series design of FIR filters
Filter types other than lowpass
Parks-McClellan technique for FIR filter design
10.6 Further Reading
MATLAB Exercises
Problems
MATLAB Problems
MATLAB Projects
Figure 10.1
Figure 10.1
Figure 10.2
Figure 10.3
Figure 10.4
Figure 10.5
Figure 10.6
Figure 10.7
Figure 10.8
Figure 10.9
Figure 10.10
Figure 10.11
Figure 10.12
Figure 10.13
Figure 10.14
Figure 10.15
Figure 10.16
Figure 10.17
Figure 10.18
Figure 10.19
Figure 10.20
Figure 10.21
Figure 10.22
Figure 10.23
Figure 10.24
Figure 10.25
Figure 10.26
Figure 10.27
Figure 10.28
Figure 10.29
Figure 10.30
Figure 10.31
Figure 10.32
Figure 10.33
Figure 10.34
Figure 10.35
Figure 10.36
Figure 10.37
Figure 10.38
Figure 10.39
Figure 10.40
Figure 10.41
Figure 10.42
Figure 10.43
Figure 10.44
Figure 10.45
Figure 10.46
Figure 10.47
Figure 10.48
Figure 10.49
Figure 10.50
Figure 10.51
Figure 10.52
Figure 10.53
Figure 10.54
Figure 10.55
Figure P. 10.3
Figure P. 10.4
Figure P. 10.19
Figure P. 10.32
Figure P. 10.37
Chapter 11 Amplitude Modulation
Chapter Objectives
11.1 Introduction
11.2 The Need for Modulation
11.3 Types of Modulation
11.4 Amplitude Modulation
11.4.1 Frequency spectrum of the AM signal
11.4.2 Power balance and modulation efficiency
11.4.3 Generation of AM signals
Switching modulator
Square-law modulator
11.4.4 Demodulation of AM signals
Envelope detector
Coherent demodulation
11.5 Double-Sideband Suppressed Carrier Modulation
11.5.1 Frequency spectrum of the DSB-SC signal
11.6 Single-Sideband Modulation
11.7 Further Reading
MATLAB Exercises
Problems
MATLAB Problems
MATLAB Projects
Figure 11.1
Figure 11.1
Figure 11.2
Figure 11.3
Figure 11.4
Figure 11.5
Figure 11.6
Figure 11.7
Figure 11.8
Figure 11.9
Figure 11.10
Figure 11.11
Figure 11.12
Figure 11.13
Figure 11.14
Figure 11.15
Figure 11.16
Figure 11.17
Figure 11.18
Figure 11.19
Figure 11.20
Figure 11.21
Figure 11.22
Figure 11.23
Figure 11.24
Figure 11.25
Figure 11.26
Figure 11.27
Figure 11.28
Figure 11.29
Figure 11.30
Figure 11.31
Figure 11.32
Figure 11.33
Figure 11.34
Figure 11.35
Figure 11.36
Figure 11.37
Figure 11.38
Figure 11.39
Figure 11.40
Figure P. 11.7
Figure P. 11.9
Figure P. 11.12
Figure P. 11.15
Figure P. 11.16
Figure P. 11.21
Table 11.1
Table 11.1
Appendix A Complex Numbers and Euler’s Formula
A.1 Introduction
A.2 Arithmetic with Complex Numbers
A.2.1 Addition and subtraction
A.2.2 Multiplication and division
A.3 Euler’s Formula
Figure A.1
Figure A.1
Figure A.2
Figure A.3
Appendix B Mathematical Relations
B.1 Trigonometric Identities
B.2 Indefinite Integrals
B.3 Laplace Transform Pairs
B.4 z-Transform Pairs
Appendix C Closed Forms for Sums of Geometric Series
C.1 Infinite-Length Geometric Series
C.2 Finite-Length Geometric Series
C.3 Finite-Length Geometric Series (Alternative Form)
Appendix D Orthogonality of Basis Functions
D.1 Orthogonality for Trigonometric Fourier Series
D.2 Orthogonality for Exponential Fourier Series
D.3 Orthogonality for Discrete-Time Fourier Series
Appendix E Partial Fraction Expansion
E.1 Partial Fraction Expansion for Continuous-Time Signals and Systems
E.2 Partial Fraction Expansion for Discrete-Time Signals and Systems
Appendix F Review of Matrix Algebra
Matrix
Vector
Square matrix
Diagonal matrix
Identity matrix
Equality of two matrices
Trace of a square matrix
Transpose of a matrix
Determinant of a square matrix
Minors of a square square matrix
Cofactors of a square square matrix
Adjoint of a square square matrix
Scaling a matrix
Addition of two matrices
Scalar product of two vectors
Multiplication of two matrices
Inversion of a matrix
Eigenvalues and eigenvectors
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