Signals and Systems, 3/e (Hardcover)
Chi-Tsong Chen
- 出版商: Oxford University
- 出版日期: 2004-03-18
- 售價: $6,600
- 貴賓價: 9.5 折 $6,270
- 語言: 英文
- 頁數: 448
- 裝訂: Hardcover
- ISBN: 0195156617
- ISBN-13: 9780195156614
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商品描述
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 applied immediately.
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.
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 applied immediately.
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.
Contents:
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