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Signals and systems / Chi-Tsong Chen.

By: Chen, Chi-Tsong.
Material type: TextTextPublisher: Oxford ; New York : Oxford University Press, 2004Edition: 3rd ed.Description: xviii, 424 pages : illustrations ; 25 cm.ISBN: 9780195156614.Subject(s): System analysis | Signal theory (Telecommunication)DDC classification: 621.3822
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. MATLABRG Computation -- 10.5. Complete Characterization by Transfer Functions.
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Item type Home library Call number Status Date due Barcode Item holds
Book Book KCST Library
621.3822 Ch Si (Browse shelf) Available 1000000347
Total holds: 0

Revised edition of: System and signal analysis. 2nd ed. c1994.

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. MATLABRG Computation --
10.5. Complete Characterization by Transfer Functions.

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