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9780195151299

Linear Systems and Signals

by
  • ISBN13:

    9780195151299

  • ISBN10:

    0195151291

  • Format: Hardcover
  • Copyright: 2001-10-04
  • Publisher: Oxford University Press
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List Price: $122.66

Summary

This introductory level book gives comprehensive treatment to signals andlinear systems. It emphasizes the physical appreciation of concepts rather thanthe mere mathematical manipulation of symbols. Mathematics is used to enhancephysical and intuitive understanding, instead of to prove axiomatic theory. Thisconveniently organized book is divided into five parts and allows for theflexible teaching of discrete-time and continuous-time systems. Whereverpossible, theoretical results are interpreted heuristically and are supported bycarefully chosen examples and analogies.

Table of Contents

Preface xi
PART I: INTRODUCTION
B. Background 3(646)
Complex Numbers
3(13)
A Historical Note
3(3)
Algebra of Complex Numbers
6(10)
Sinusoids
16(9)
Addition of Sinusoids
19(3)
Sinusoids in Terms of Exponentials: Euler's Formula
22(1)
Generalized Sinusoids: Complex Frequency
23(2)
Sketching Signals
25(4)
Monotonic Exponentials
25(1)
Exponentially Varying Sinusoid
26(2)
Amplitude Modulated Sinusoid
28(1)
Some Useful Signal Operations
29(5)
Time-Shifting
29(1)
Time-Scaling
30(2)
Time-Inversion
32(1)
Combined Operations
33(1)
Mathematical Description of a Signal from Its Sketch
34(3)
Even and Odd Functions
37(2)
Some Properties of Even and Odd Functions
38(1)
Even and Odd Components of a Signal
38(1)
Cramer's Rule
39(2)
Partial fraction expansion
41(10)
Method of Clearing Fractions
42(1)
Heaviside ``Cover-up'' Method
43(5)
Mixture of Clearing Fractions and Heaviside ``Cover-up''
48(2)
Partial Fraction Expansion of Improper F(x) with m = n
50(1)
Modified Partial Fractions
51(1)
Vectors and Matrices
51(13)
Some Definitions and Properties
53(1)
Matrix Algebra
54(5)
Derivatives and Integrals of a Matrix
59(1)
Characteristic Equation of a Matrix: Cayley-Hamilton Theorem
60(2)
Computation of an Exponential and a Power of a Matrix
62(2)
Miscellaneous
64(5)
L'Hopital's Rule
64(1)
Taylor and Maclaurin Series
64(1)
Power Series Expansion
64(1)
Sums
64(1)
Complex Numbers
65(1)
Trigonometric Identities
65(1)
Indefinite Integrals
66(1)
Differentiation Table
67(1)
Some Useful Constants
67(1)
Solution of Quadratic and Cubic Equations
67(2)
Introduction to Systems
69(36)
Signals and Systems
69(3)
Classification of Systems
72(10)
Linear and Nonlinear Systems
72(4)
Time-Invariant and Time-varying Parameter Systems
76(1)
Instantaneous and Dynamic Systems
77(1)
Causal and Noncausal Systems
77(3)
Lumped-Parameter and Distributed Parameter Systems
80(1)
Continuous-Time and Discrete-Time Systems
80(1)
Analog and Digital Systems
81(1)
System Model: Input-output Description
82(8)
Electrical Systems
83(2)
Mechanical Systems
85(4)
Electromechanical Systems
89(1)
Simultaneous Differential Equations
90(2)
Internal and External Description of a System
92(4)
Large Systems
95(1)
State-Space Description of a System
96(2)
Summary
98(7)
PART II: TIME-DOMAIN ANALYSIS OF LTI SYSTEMS
Time-Domain Analysis: Continuous-Time Systems
105(84)
Introduction
105(2)
System Response to Internal Conditions: Zero-Input response
107(13)
Some Insights Into the Zero-Input Behavior of a System
118(2)
Unit Impulse Function
120(7)
The Unit Impulse response h(t)
123(4)
System Response to External Input: Zero-State Response
127(23)
The Convolution Integral
130(8)
Graphical Understanding of Convolution
138(11)
Why Convolution? An Intuitive Explanation of System response
149(1)
Some Reflections on the Use of Impulse Function
150(1)
Numerical Convolution
150(6)
System Stability
156(5)
System Response to Bounded Inputs
159(2)
Intuitive Insights In System Behavior
161(9)
Dependence of System Behavior on Characteristic Modes
161(2)
Response-Time of a System: The System Time-Constant
163(1)
Time-Constant and Rise-Time of a System
164(1)
Time-Constant and Filtering
165(1)
Time-Constant and Pulse Dispersion (Spreading)
166(1)
Time-Constant and Rate of Information transmission
167(1)
Resonance Phenomenon
167(3)
Classical Solution of Differential equations
170(7)
Forced response: Method of Undetermined Coefficients
170(7)
Determining The Impulse Response
177(2)
Summary
179(10)
Time-Domain Analysis: Discrete-Time Systems
189(60)
Discrete-Time Systems
189(6)
Discrete-Time System Equations
195(5)
Initial Conditions and Interative solution of Difference Equations
196(4)
System Response to Internal Conditions: Zero-Input Response
200(8)
Unit Impulse Response h[k]
208(5)
Determining Impulse Response h[k]
209(4)
System Response to External Input: Zero-State Response
213(10)
Graphical Procedure for Convolution Sum
220(3)
System Stability
223(7)
System Response to Bounded Inputs
229(1)
Intuitive insights In System Behavior
230(1)
Classical Solution of Linear Difference Equations
230(5)
Determining Impulse Response
235(2)
Summary
237(12)
PART III: FREQUENCY-DOMAIN (TRANSFORM) ANALYSIS OF LTI SYSTEMS
Continuous-Time Systems: Laplace Transform Analysis
249(104)
The Laplace Transform
249(16)
Finding Inverse Transform
255(10)
Some Properties of the Laplace Transform
265(9)
Transform Solution of Differential and Integro-Differential Equations
274(11)
The Zero-State Response of LTIC Systems: The Transfer Function
278(3)
Relationship Between h(t) and H(s)
281(1)
Frequency-Domain Interpretation of the Transfer function
282(2)
Physical Interpretation of the Laplace Transform
284(1)
Analysis of Electrical Networks: Transformed Network Method
285(13)
Analysis of Active Circuits
294(3)
Initial and Final Values
297(1)
Block Diagrams
298(5)
System Realization
303(12)
Canonical or Direct-Form Realization
304(5)
Cascade and Parallel Realizations
309(3)
System Realization Using Operational Amplifiers
312(3)
Frequency-Response of an LTIC System
315(14)
Dependence of Frequency Response on Poles and Zeros of H(s)
322(7)
Bilateral Laplace Transform
329(8)
Linear System Analysis Using Bilateral Transform
335(2)
Second Canonical Realization
337(2)
Summary
339(14)
Discrete-Time Systems: Z-Transform Analysis
353(62)
The Z-Transform
353(10)
Finding the Inverse Transform
357(6)
Some Properties of the Z-Transform
363(5)
Z-Transform solution of Difference equations
368(9)
Zero-State Response of LTID Systems: The Transfer Function
372(3)
Relationship Between h[k] and H[z]
375(1)
Frequency-Domain Interpretation of the Transfer Function
376(1)
Physical Interpretation of the Z-Transform
376(1)
System Realization
377(3)
Frequency Response of Discrete-Time Systems
380(16)
Periodic Nature of Frequency Response
385(1)
Aliasing and Sampling Rate
386(2)
Dependence of Frequency Response on Poles and Zeros of H[z]
388(8)
Connection Between the Z-Transform and Laplace Transform
396(3)
Bilateral Z-Transform
399(5)
Analysis of LTID Systems Using Bilateral Z-Transform
402(2)
Summary
404(11)
PART IV: SIGNAL ANALYSIS
Continuous-Time Signal Analysis: The Fourier Series
415(59)
Representation of Periodic Signals by Trigonometric Fourier Series
415(23)
The Fourier Spectrum
421(8)
Effect of Symmetry
429(2)
Determining the Fundamental Frequency and Period
431(1)
Role of Amplitude and Phase Spectra in Wave Shaping
432(6)
Exponential Fourier Series
438(11)
Exponential Fourier Spectra
442(6)
Why Use exponentials?
448(1)
Iternate View of Fourier Representation: Signal-Vector Analogy
449(18)
Vector Comparison
449(2)
Signal Comparison
451(2)
Orthogonal Vector Space
453(2)
Orthogonal Signal Space
455(6)
Gibbs Phenomenon
461(3)
Some Examples of Orthogonal functions
464(3)
Summary
467(7)
Continuous-Time Signal Analysis: The Fourier Transform
474(58)
Nonperiodic Signal Representation By Fourier Integral
474(6)
Physical Appreciation of the Fourier Transform
480(4)
Connection Between the Fourier and Laplace Transforms
482(2)
Transform of Some Useful Functions
484(6)
Some Properties of the Fourier Transform
490(16)
Symmetry of the Direct and Inverse Transform Operation: Time-Frequency Duality
492(1)
Duality Property
493(1)
Scaling Property
494(2)
Time-Shifting Property
496(2)
Frequency-shifting Property
498(4)
Convolution
502(1)
Time-Differentiation and Integration
503(3)
LTI System Analysis by Fourier Transform
506(2)
Signal Distortion During Transmission
508(3)
Ideal and Practical Filters
511(3)
Thinking in Time-Domain and Frequency-Domain: Two-Dimentional View of Signals and Systems
514(1)
Signal Energy
515(3)
Data Truncation: Window Functions
518(4)
Summary
522(10)
Sampling
532(33)
The Sampling Theorem
532(10)
Practical Difficulties in Signal Reconstruction
534(4)
Some Applications of the Sampling Theorem
538(4)
Dual of the Sampling Theorem: Spectral Sampling
542(1)
Numerical Computation of Fourier Transform: The Discrete Fourier Transform (DFT)
543(16)
Some Properties of DFT
552(5)
Fast Fourier Transform (FFT)
557(2)
Summary
559(6)
Analysis of Discrate-Time Signals
565(30)
Discrete-Time Periodic Signals
565(9)
Representation of Periodic Signals: Discrete-Time Fourier Series
566(8)
Nonperiodic Signals: The Discrete-Time Fourier Transform (DTFT)
574(8)
Relationship of the DTFT to Z-transform
581(1)
Properties of DTFT
582(1)
LTID System analysis by DTFT
583(2)
Relationships Among Various Transforms
585(3)
Derivation of the Z-Transform Pair
588(1)
Summary
589(6)
PART V: STATE-SPACE ANALYSIS
State-Space Analysis
595(54)
Introduction
595(3)
Systematic Procedure for Determining State Equations
598(12)
Electrical Circuits
599(2)
State Equations From Transfer Function
601(9)
Solution of State Equations
610(12)
Laplace Transform Solution of State Equations
610(5)
Time-Domain solution of State Equations
615(7)
Linear Transformation of State Vector
622(8)
Diagonalization of Matrix A
626(4)
Controllability and Observability
630(6)
Inadequacy of transfer function Description
635(1)
State-Space Analysis of Discrete-Time Systems
636(6)
Solution in State-Space
638(3)
Z-Transform Solution
641(1)
Summary
642(7)
Supplementary Reading 649(2)
Index 651

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