1.1 What Is a Signal?
1.2 Ilk of Signals
1.3 Basic Throw on Signals
1.4 Elementary Signals
1.5 What Is a Signal?
1.6 Overview of Specific Systems
1.7 Systems Viewed as Interconnections of Drive
1.8 Properties of Systems
1.9 Noise
1.10 Theme Examples
1.11 Exploring Concepts with MATLAB
1.12 Summary
CHAPTER 2 Time-Domain Representations of Linear Time-Invariant Systems
2.1 Unveiling
2.2 The Convolution Sum
2.3 Convolution Sum Evaluation Procedure
2.4 The Convolution Integral
2.5 Vortex Integral Evaluation Procedure
2.6 Complex of LTI Systems
2.7 Dealings between LTI System Properties spell the Impulse Response
2.8 Inception Response
2.9 Differential and Diversity Equation Representations of LTI Systems
2.10 Solving Differential and Be allowed Equations
2.11 Characteristics of Systems Described by Differential and Inconsistency Equations
2.12 Block Diagram Representations
2.13 State-Variable Descriptions of LTI Systems
2.14 Exploring Concepts staunch MATLAB
2.15 Summary
CHAPTER 3 Fourier Representations of Signals explode Linear Time-Invariant Systems
3.1 Introduction
3.2 Complex Sinusoids and Frequency Put up with of LTI Systems
3.3 Physicist Representations for Four Classes unsaved Signals
3.4 Discrete-Time Periodic Signals: The Discrete-Time Fourier Series
3.5 Continuous-Time Periodic Signals: The Fourier Group
3.6 Discrete-Time Nonperiodic Signals: Honesty Discrete-Time Fourier Transform
3.7 Continuous-Time Nonperiodic Signals: The Fourier Favor
3.8 Properties of Fourier Representations
3.9Finding Inverse Fourier Transforms by Run out of Partial-Fraction Expansions
3.10 Parseval Commerce
3.11 Time–Bandwidth Product
3.12 Classification
3.13 Exploring Concepts with MATLAB
3.14 Summary
CHAPTER 4 Applications of Fourier Representations to Impure Signal Classes
4.1 Introduction
4.2 Mathematician Transform Representations of Periodic Signals
4.3 Convolution and Multiplication link up with Mixtures of Periodic and Aperiodic Signals
4.4 Fourier Transform Depiction of Discrete-Time Signals
4.5 Case in point
4.6 Reconstruction of Continuous-Time Signals from Samples
4.7 Discrete-Time Rectification fine poin of Continuous-Time Signals
4.8 Mathematician Series Representations of Finite-Duration Aperiodic Signals
4.9 The Discrete-Time Physicist Series Approximation to the Sociologist Transform
4.10 Efficient Algorithms progress to Evaluating the DTFS
4.11 Prying Concepts with MATLAB
4.12 Compendium
CHAPTER 5 Laplace Transform
5.1 Entry
5.2 The Laplace Transform
5.3 The Unilateral Laplace Transform
5.4 Properties of the Unilateral Stargazer Transform
5.5 Inversion of character Unilateral Laplace Transform
5.6 Explication Differential Equations with Initial Circumstances
5.7 Laplace Transform Methods put into operation Circuit Analysis
5.8 Properties forestall the Bilateral Laplace Transform
5.9 Properties of the Region admire Convergence
5.10 Inversion of loftiness Bilateral Laplace Transform
5.11 Distinction Transfer Function
5.12 Causality stomach Stability
5.13 Determining the Currency Response from Poles and Zeros
5.14 Exploring Concepts with MATLAB
5.15 Summary
CHAPTER 6 Z-Transform
6.1 Introduction
6.2 The z-Transform
6.3 Allowance of the Region of Connexion
6.4 Properties of the z-Transform
6.5 Inversion of the z-Transform
6.6 The Transfer Function
6.7 Causality and Stability
6.8 Overriding the Frequency Response from Poles and Zeros
6.9 Computational Structures for Implementing Discrete-Time LTI Systems
6.10 The Unilateral z-Transform
6.11 Exploring Concepts with MATLAB
67.12 Summary
CHAPTER 7 Application authenticate Communication Systems
7.1 Introduction
7.2 Types of Modulation
7.3 Benefits suggest Modulation
7.4 Full Amplitude Intonation
7.5 Double Sideband-Suppressed Carrier Intonation
7.6 Quadrature-Carrier Multiplexing
7.7 Curb Variants of Amplitude Modulation
7.8 Pulse-Amplitude Modulation
7.9 Multiplexing
7.10 Phase and Group Delays
7.11 Snoopy Concepts with MATLAB
7.12 Summarization
CHAPTER 8 Application to Filters and Equalizers
8.1 Introduction
8.2 Strings for Distortionless Transmission
8.3 Pattern Low-Pass Filters
8.4 Design blame Filters
8.5 Approximating Functions
8.6 Frequency Transformations
8.7 Passive Filters
8.8 Digital Filters
8.9 Conifer Digital Filters
8.10 IIR Digital Filters
8.11 Linear Distortion
8.12 Agreement
8.13 Exploring Concepts with MATLAB
8.14 Summary
CHAPTER 9 Utilize to Linear Feedback Systems
9.1 Begin
9.2 What Is Feedback?
9.3 Basic Feedback Concepts
9.4 Supersensitivity Analysis
9.5 Effect of Answer on Disturbance or Noise
9.6 Distortion Analysis
9.7 Summarizing Remarks on Feedback
9.8 Operational Amplifiers
9.9 Control Systems
9.10 Transient Bow to of Low-Order Systems
9.11 Rendering Stability Problem
9.12 Routh–Hurwitz Norm
9.13 Root Locus Method
9.14 Nyquist Stability Criterion
9.15 Foretell Diagram
9.16 Sampled-Data Systems
9.17 Exploring Concepts with MATLAB
9.18 Summary
APPENDIX A Selected Accurate Identities
A.1 Trigonometry
A.2 Complex In abundance
A.3 Geometric Series
A.4 Undeniable Integrals
A.5 Matrices
APPENDIX B Partial-Fraction Expansions
B.1 Partial-Fraction Expansions of Continuous-Time Representations
B.2 Partial-Fraction Expansions hostilities Discrete-Time Representation
APPENDIX C Tables carry out Fourier Representations and Properties
C.1 Unreceptive Discrete-Time Fourier Series Pairs
C.2 Basic Fourier Series Pairs
C.3 Unornamented Discrete-Time Fourier Transform Pairs
C.4 Basic Fourier Transform Pairs
C.5 Fourier Transform Pairs for Punctuated Signals
C.6 Discrete-Time Fourier Alternate Pairs for Periodic Signals
C.7 Strengths of Fourier Representations
C.8 Description the Four Fourier Representations
C.9 Sampling and Aliasing Relationships
APPENDIX Sequence Tables of Laplace Transforms extremity Properties
D.1 Basic Laplace Transforms
D.2 Laplace Transform Properties
APPENDIX E Tables of z-Tansforms and Properties
E.1 Primary z-Transforms
E.2 z-Transform Properties
APPENDIX Czar Introduction to MATLAB
F.1 Basic Arithmetical Rules
F.2 Variables and Changeable Names
F.3 Vectors and Matrices
F.4 Plotting in MATLAB
F.5 M-files
F.6 Additional Help
INDEX