Signals and Systems / Edition 3

by Chi-Tsong Chen

Overview

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.

Product Details

ISBN-13:	9780195156614
Publisher:	Oxford University Press
Publication date:	03/18/2004
Series:	The ^AOxford Series in Electrical and Computer Engineering
Edition description:	New Edition
Pages:	448
Product dimensions:	9.47(w) x 7.65(h) x 1.00(d)

About the Author

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).

Table of Contents

PrefaceEach chapter ends with Problems.1. Signals1.1.. Introduction1.2.. Continuous-Time (CT), Discrete-Time (DT), and Digital Signals1.3.. Elementary CT Signals1.4.. Manipulations of CT Signals1.5.. Impulse1.6.. Elementary DT Signals and Their Manipulations1.7.. CT Sinusoidal Signals1.8.. DT Sinusoidal Sequences and Nyquist Frequency Range1.9.. Sampling and Frequency Aliasing2. Systems2.1.. Introduction2.2.. CT Systems with and without Memory2.3.. The Concept of State-Set of Initial Conditions2.4.. Linearity of Memory-less Systems2.5.. Time Invariance and its Implication2.6.. Implications of Linearity and Time Invariance-Zero-State Responses2.7.. Modeling CT LTI Lumped Systems2.8.. Ideal Operational Amplifiers2.9.. Ideal Diodes and Rectifiers2.10.. LTI Discrete-Time Systems2.11.. Conclusion3. Convolutions, Difference and Differential Equations3.1.. Introduction3.2.. DT Impulse Responses3.3.. DT LTI Systems: Discrete Convolutions3.4.. DT LTIL Systems: Difference Equations3.6.. General Form of Difference Equations3.7.. CT LTI Systems: Integral Convolutions3.8.. CT LTIL Systems: Differential equations4. Frequency Spectra of CT Signals4.1.. Introduction4.2.. Fourier Series of Periodic Signals: Frequency Components4.3.. Fourier Transform: Frequency Spectra4.4.. Properties of Frequency Spectra4.5.. Frequency Spectra of CT Periodic Signals4.6.. Effects of Truncation4.7.. Time-Limited Bandlimited Theorem5. Sampling Theorem and FFT Spectral Computation5.1.. Introduction5.2.. Frequency Spectra of DT Signals5.3.. Nyquist Sampling Theorem5.4.. Computing frequency spectra of DT signals5.5.. FFT Spectral Computation of DT Signals5.6.. FFT Spectral Computation of CT Signals6. CT Transfer Functions: Laplace Transform6.1.. Introduction6.2.. Laplace Transform6.3.. Transfer Functions6.4.. Properties of Laplace Transform6.5.. Inverse Laplace Transform6.6.. Significance of Poles and Zeros6.7.. Stability6.8.. Frequency Responses6.9.. From Laplace Transform to Fourier Transform6.10.. Frequency Responses and Frequency Spectra6.11.. Concluding Remarks7. Realization, Characterization, and Identification7.1.. Introduction7.2.. Realizations7.3.. Basic Block Diagrams7.4.. Computer Computation of State-Space Equations7.5.. Developing State-Space Equations7.6.. Complete Characterization by Transfer Functions7.7.. Identification by Measuring Frequency Responses8. Model Reduction, Feedback, and Modulation8.1.. Introduction8.2.. Op-Amp Circuits Using Single-Pole Model8.3.. Seismometers and Accelerometers8.4.. Composite Systems8.5.. Sinusoidal Generators8.6.. Feedback Model of Op-Amp Circuits8.7.. Modulation8.8.. AM Modulation and Asynchronous Demodulation9. DT Transfer Functions: z-Transform9.1.. Introduction9.2.. z-transform9.3.. DT Transfer Functions9.4.. Properties of z-Transform9.5.. Inverse z-Transform9.6.. Significance of Poles and Zeros9.7.. Stability9.8.. Frequency Responses9.9.. Frequency Responses and Frequency Spectra9.10.. Digital Processing of CT Signals10. DT State-Space Equations and Realizations10.1.. Introduction10.2.. From Difference Equations to Basic Block Diagrams10.3.. Realizations10.4.. MATLAB® Computation10.5.. Complete Characterization by Transfer FunctionsReferencesAnswers to Selected ProblemsIndex

Editorial Reviews

A text for sophomore-junior courses in systems and signals for electrical, mechanical, and system engineering students. Introduces fundamental concepts such as causality, linearity, and lumpedness, and discusses the Laplace, Fourier, and z transforms, frequency spectrum computations, stabilities and their implications, state variable equations, and computer simulations. Assumes a knowledge of general physics, simple circuit analysis, and elementary linear algebra. Discusses the use of the Student Edition of MATLAB. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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