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Oxford University Press is a department of the University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide.

Print Price: $224.99

Format:
Hardback
448 pp.
228 line illus., 236 mm x 196 mm

ISBN-13:
9780195156614

Copyright Year:
2004

Imprint: OUP US


Signals and Systems

Third Edition

Chi-Tsong Chen

Series : The Oxford Series in Electrical and Computer Engineering

The third edition of Signals and Systems prepares students for real-world engineering applications. It is concise, focused, and practical. The text introduces basic concepts in signals and systems and their associated mathematical and computational tools. It also stresses the most important concepts in signal analysis (frequency spectra) and system analysis (stability and frequency responses) and uses them throughout, including the study of seismometers and accelerometers.
Signals and Systems, 3/e, introduces every term carefully and develops every topic logically. It distinguishes amplitudes and magnitudes, as well as lumped and distributed systems. It presents engineering concepts as early as possible and discusses transform theory only as needed. Also, the text employs transfer functions and state-space equations only in the contexts where they are most efficient. Transfer functions are used exclusively in qualitative analysis and design, and state-space equations are used exclusively in computer computation and op-amp circuit implementation. Thus, the students' time is focused on learning only what can be immediately used.
Including an author commentary on the best way to approach the text, Signals and Systems, 3/e, is ideal for sophomore- and junior-level undergraduate courses in systems and signals. It assumes a background in general physics (including simple circuit analysis), simple matrix operations, and basic calculus.

Readership : Sophomore- and junior-level undergraduate courses in systems and signals.

Preface
Each chapter ends with Problems.
1. Signals
1.1.. Introduction
1.2.. Continuous-Time (CT), Discrete-Time (DT), and Digital Signals
1.3.. Elementary CT Signals
1.4.. Manipulations of CT Signals
1.5.. Impulse
1.6.. Elementary DT Signals and Their Manipulations
1.7.. CT Sinusoidal Signals
1.8.. DT Sinusoidal Sequences and Nyquist Frequency Range
1.9.. Sampling and Frequency Aliasing
2. Systems
2.1.. Introduction
2.2.. CT Systems with and without Memory
2.3.. The Concept of State-Set of Initial Conditions
2.4.. Linearity of Memory-less Systems
2.5.. Time Invariance and its Implication
2.6.. Implications of Linearity and Time Invariance-Zero-State Responses
2.7.. Modeling CT LTI Lumped Systems
2.8.. Ideal Operational Amplifiers
2.9.. Ideal Diodes and Rectifiers
2.10.. LTI Discrete-Time Systems
2.11.. Conclusion
3. Convolutions, Difference and Differential Equations
3.1.. Introduction
3.2.. DT Impulse Responses
3.3.. DT LTI Systems: Discrete Convolutions
3.4.. DT LTIL Systems: Difference Equations
3.6.. General Form of Difference Equations
3.7.. CT LTI Systems: Integral Convolutions
3.8.. CT LTIL Systems: Differential equations
4. Frequency Spectra of CT Signals
4.1.. Introduction
4.2.. Fourier Series of Periodic Signals: Frequency Components
4.3.. Fourier Transform: Frequency Spectra
4.4.. Properties of Frequency Spectra
4.5.. Frequency Spectra of CT Periodic Signals
4.6.. Effects of Truncation
4.7.. Time-Limited Bandlimited Theorem
5. Sampling Theorem and FFT Spectral Computation
5.1.. Introduction
5.2.. Frequency Spectra of DT Signals
5.3.. Nyquist Sampling Theorem
5.4.. Computing frequency spectra of DT signals
5.5.. FFT Spectral Computation of DT Signals
5.6.. FFT Spectral Computation of CT Signals
6. CT Transfer Functions: Laplace Transform
6.1.. Introduction
6.2.. Laplace Transform
6.3.. Transfer Functions
6.4.. Properties of Laplace Transform
6.5.. Inverse Laplace Transform
6.6.. Significance of Poles and Zeros
6.7.. Stability
6.8.. Frequency Responses
6.9.. From Laplace Transform to Fourier Transform
6.10.. Frequency Responses and Frequency Spectra
6.11.. Concluding Remarks
7. Realization, Characterization, and Identification
7.1.. Introduction
7.2.. Realizations
7.3.. Basic Block Diagrams
7.4.. Computer Computation of State-Space Equations
7.5.. Developing State-Space Equations
7.6.. Complete Characterization by Transfer Functions
7.7.. Identification by Measuring Frequency Responses
8. Model Reduction, Feedback, and Modulation
8.1.. Introduction
8.2.. Op-Amp Circuits Using Single-Pole Model
8.3.. Seismometers and Accelerometers
8.4.. Composite Systems
8.5.. Sinusoidal Generators
8.6.. Feedback Model of Op-Amp Circuits
8.7.. Modulation
8.8.. AM Modulation and Asynchronous Demodulation
9. DT Transfer Functions: z-Transform
9.1.. Introduction
9.2.. z-transform
9.3.. DT Transfer Functions
9.4.. Properties of z-Transform
9.5.. Inverse z-Transform
9.6.. Significance of Poles and Zeros
9.7.. Stability
9.8.. Frequency Responses
9.9.. Frequency Responses and Frequency Spectra
9.10.. Digital Processing of CT Signals
10. DT State-Space Equations and Realizations
10.1.. Introduction
10.2.. From Difference Equations to Basic Block Diagrams
10.3.. Realizations
10.4.. MATLAB® Computation
10.5.. Complete Characterization by Transfer Functions
References
Answers to Selected Problems
Index

Instructor's Solutions Manual

CHI-TSONG CHEN is Professor of Electrical Engineering at the State University of New York at Stony Brook and a Fellow of the IEEE. He is the author of more than eighty technical articles and five books, including Digital Signal Processing (OUP, 2001) and Linear System Theory and Design, 3/e (OUP, 1999).

Making Sense in Engineering and the Technical Sciences - Margot Northey and Judi Jewinski

Special Features

  • Stresses application of computer computation (MATLAB, Fast Fourier Transform) throughout
  • Includes engineering constraints when discussing mathematics
  • Omits purely academic topics and focuses on practice-oriented subjects such as model reduction, speeds of responses, and operational frequency ranges of devices
  • Uses op-amps to discuss modeling problems, both memoryless (linear or nonlinear, finite or infinite gains) and with memory
  • Provides reasons for not discussing Fourier analysis of systems, which is discussed in most other similar texts
  • A solutions manual is available to adopting professors. (0-19-515662-5)