000			04281nam a22002297a 4500
999			_c392 _d392
005			20200817112341.0
008			200209b ||||| |||| 00| 0 eng d
020			_a9780195156614
040			_cKCST
082			_a621.3822 _bCh Si
100			_aChen, Chi-Tsong _91323
245			_aSignals and systems / _cChi-Tsong Chen.
250			_a3rd ed.
260			_aOxford ; New York : _bOxford University Press, _c2004.
300			_axviii, 424 pages : _billustrations ; _c25 cm.
500			_aRevised edition of: System and signal analysis. 2nd ed. c1994.
505			_a1. 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.
650			_aSystem analysis. _91324
650			_aSignal theory (Telecommunication). _91318
760			_bOxford series in electrical and computer engineering.
942			_2ddc _cBO