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Signal Processing and Linear Systems 2nd ed. [köitmata]

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  • Formaat: Loose-leaf, 1152 pages, kõrgus x laius x paksus: 203x251x41 mm, kaal: 1996 g, Illustrations, unspecified
  • Sari: The Oxford Electrical and Computer Engineering
  • Ilmumisaeg: 26-Feb-2021
  • Kirjastus: OUP India
  • ISBN-10: 0190651075
  • ISBN-13: 9780190651077
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Signal Processing and Linear Systems 2nd ed.
  • Formaat: Loose-leaf, 1152 pages, kõrgus x laius x paksus: 203x251x41 mm, kaal: 1996 g, Illustrations, unspecified
  • Sari: The Oxford Electrical and Computer Engineering
  • Ilmumisaeg: 26-Feb-2021
  • Kirjastus: OUP India
  • ISBN-10: 0190651075
  • ISBN-13: 9780190651077
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780190651077.html
Märksõnad:
This second edition contains much of the content of Linear Systems and Signals, Third Edition, by the same authors, with added chapters on analog and digital filters and digital signal processing, plus additional applications to communications and controls. Unlike Linear Systems & Signals 3e, in this book the Laplace transform follows Fourier. This book contains enough material on discrete-time systems to be used in a traditional course in Signals and Systems and in an introductory course in Digital Signal Processing.
Preface x
B BACKGROUND
B.1 Complex Numbers
1(15)
B.2 Sinusoids
16(4)
B.3 Sketching Signals
20(2)
B.4 Cramer's Rule
22(3)
B.5 Partial Fraction Expansion
25(10)
B.6 Vectors and Matrices
35(7)
B.7 MATLAB: Elementary Operations
42(12)
B.8 Appendix: Useful Mathematical Formulas
54(10)
References
58(1)
Problems
59(5)
1 Signals and Systems
1.1 Size of a Signal
64(7)
1.2 Some Useful Signal Operations
71(7)
1.3 Classification of Signals
78(4)
1.4 Some Useful Signal Models
82(10)
1.5 Even and Odd Functions
92(3)
1.6 Systems
95(2)
1.7 Classification of Systems
97(14)
1.8 System Model: Input-Output Description
111(8)
1.9 Internal and External Descriptions of a System
119(2)
1.10 Internal Description: The State-Space Description
121(5)
1.11 MATLAB: Working with Functions
126(7)
1.12 Summary
133(17)
References
135(1)
Problems
136(14)
2 Time-Domain Analysis of Continuous-Time Systems
2.1 Introduction
150(1)
2.2 System Response to Internal Conditions: The Zero-Input Response
151(12)
2.3 The Unit Impulse Response h(t)
163(5)
2.4 System Response to External Input: The Zero-State Response
168(28)
2.5 System Stability
196(7)
2.6 Intuitive Insights into System Behavior
203(9)
2.7 MATLAB: M-Files
212(8)
2.8 Appendix: Determining the Impulse Response
220(1)
2.9 Summary
221(16)
References
223(1)
Problems
223(14)
3 Signal Representation by Fourier Series
3.1 Signals as Vectors
237(6)
3.2 Signal Comparison: Correlation
243(7)
3.3 Signal Representation by an Orthogonal Signal Set
250(11)
3.4 Trigonometric Fourier Series
261(16)
3.5 Existence and Convergence of the Fourier Series
277(9)
3.6 Exponential Fourier Series
286(17)
3.7 LTIC System Response to Periodic Inputs
303(4)
3.8 Numerical Computation of Dn
307(2)
3.9 MATLAB: Fourier Series Applications
309(7)
3.10 Summary
316(14)
References
317(1)
Problems
318(12)
4 Continuous-Time Signal Analysis: The Fourier Transform
4.1 Aperiodic Signal Representation by the Fourier Integral
330(10)
4.2 Transforms of Some Useful Functions
340(12)
4.3 Some Properties of the Fourier Transform
352(20)
4.4 Signal Transmission Through LTIC Systems
372(9)
4.5 Ideal and Practical Filters
381(3)
4.6 Signal Energy
384(4)
4.7 Application to Communications: Amplitude Modulation
388(13)
4.8 Angle Modulation
401(13)
4.9 Data Truncation: Window Functions
414(6)
4.10 MATLAB: Fourier Transform Topics
420(5)
4.11 Summary
425(2)
References
427(6)
Problems
427(13)
5 Sampling
5.1 The Sampling Theorem
440(9)
5.2 Signal Reconstruction
449(14)
5.3 Analog-to-Digital (A/D) Conversion
463(3)
5.4 Dual of Time Sampling: Spectral Sampling
466(3)
5.5 Numerical Computation of the Fourier Transform: The Discrete Fourier Transform
469(19)
5.6 The Fast Fourier Transform (FFT)
488(3)
5.7 MATLAB: The Discrete Fourier Transform
491(7)
5.8 Summary
498(11)
References
499(1)
Problems
499(10)
6 Continuous-Time System Analysis Using the Laplace Transform
6.1 The Laplace Transform
509(23)
6.2 Some Properties of the Laplace Transform
532(12)
6.3 Solution of Differential and Integro-Differential Equations
544(13)
6.4 Analysis of Electrical Networks: The Transformed Network
557(13)
6.5 Block Diagrams
570(2)
6.6 System Realization
572(16)
6.7 Application to Feedback and Controls
588(24)
6.8 The Bilateral Laplace Transform
612(10)
6.9 Summary
622(16)
References
624(1)
Problems
624(14)
7 Frequency Response and Analog Filters
7.1 Frequency Response of an LTIC System
638(8)
7.2 Bode Plots
646(16)
7.3 Control System Design Using Frequency Response
662(5)
7.4 Filter Design by Placement of Poles and Zeros of H(s)
667(10)
7.5 Butterworth Filters
677(11)
7.6 Chebyshev Filters
688(12)
7.7 Frequency Transformations
700(14)
7.8 Filters to Satisfy Distortionless Transmission Conditions
714(2)
7.9 MATLAB: Continuous-Time Filters
716(5)
7.10 Summary
721(9)
References
722(1)
Problems
722(8)
8 Discrete-Time Signals and Systems
8.1 Introduction
730(3)
8.2 Useful Signal Operations
733(5)
8.3 Some Useful Discrete-Time Signal Models
738(15)
8.4 Aliasing and Sampling Rate
753(3)
8.5 Examples of Discrete-Time Systems
756(9)
8.6 MATLAB: Representing, Manipulating, and Plotting Discrete-Time Signals
765(1)
8.7 Summary
766(8)
Problems
768(6)
9 Time-Domain Analysis of Discrete-Time Systems
9.1 Classification of Discrete-Time Systems
774(3)
9.2 Discrete-Time System Equations
777(5)
9.3 System Response to Internal Conditions: The Zero-Input Response
782(7)
9.4 The Unit Impulse Response h[ n]
789(4)
9.5 System Response to External Input: The Zero-State Response
793(18)
9.6 System Stability
811(6)
9.7 Intuitive Insights into System Behavior
817(2)
9.8 MATLAB: Discrete-Time Systems
819(4)
9.9 Appendix: Impulse Response for a Special Case
823(1)
9.10 Summary
824(14)
Problems
825(13)
10 Fourier Analysis of Discrete-Time Signals
10.1 Periodic Signal Representation by Discrete-Time Fourier Series
838(9)
10.2 Aperiodic Signal Representation by Fourier Integral
847(12)
10.3 Properties of the DTFT
859(10)
10.4 DTFT Connection with the CTFT
869(3)
10.5 LTI Discrete-Time System Analysis by DTFT
872(5)
10.6 Signal Processing by the DFT and FFT
877(22)
10.7 Generalization of the DTFT to the z-Transform
899(3)
10.8 MATLAB: Working with the DTFS and the DTFT
902(3)
10.9 Summary
905(13)
Reference
906(1)
Problems
906(12)
11 Discrete-Time System Analysis Using The Z-Transform
11.1 The z-Transform
918(13)
11.2 Some Properties of the z-Transform
931(8)
11.3 Z-Transform Solution of Linear Difference Equations
939(11)
11.4 System Realization
950(6)
11.5 Connecting the Laplace and z-Transforms
956(3)
11.6 Sampled-Data (Hybrid) Systems
959(7)
11.7 The Bilateral z-Transform
966(9)
11.8 Summary
975(11)
Reference
975(1)
Problems
976(10)
12 Frequency Response and Digital Filters
12.1 Frequency Response of Discrete-Time Systems
986(7)
12.2 Frequency Response from Pole-Zero Locations
993(8)
12.3 Digital Filters
1001(2)
12.4 Filter Design Criteria
1003(3)
12.5 Recursive Filter Design by the Time-Domain Criterion: The Impulse Invariance Method
1006(6)
12.6 Recursive Filter Design by the Frequency-Domain Criterion: The Bilinear Transformation Method
1012(15)
12.7 Nonrecursive Filters
1027(4)
12.8 Nonrecursive Filter Design
1031(16)
12.9 MATLAB: Designing High-Order Filters
1047(6)
12.10 Summary
1053(12)
Reference
1054(1)
Problems
1054(11)
13 State-Space Analysis
13.1 Mathematical Preliminaries
1065(4)
13.2 Introduction to State Space
1069(3)
13.3 A Systematic Procedure to Determine State Equations
1072(10)
13.4 Solution of State Equations
1082(13)
13.5 Linear Transformation of a State Vector
1095(8)
13.6 Controllability and Observability
1103(6)
13.7 State-Space Analysis of Discrete-Time Systems
1109(8)
13.8 MATLAB: Toolboxes and State-Space Analysis
1117(8)
13.9 Summary
1125(5)
References
1125(1)
Problems
1126(4)
Index 1130