Continuous and Discrete Signals and SystemsThis complete introductory book assists readers in developing the ability to understand and analyze both continuous and discrete-time systems. The author presents the most widely used techniques of signal and system analysis in a highly readable and understandable fashion. For anyone interested in Signals & Systems, and Transform Theory. |
Contents
REPRESENTING SIGNALS | 1 |
CONTINUOUSTIME SYSTEMS | 41 |
FOURIER SERIES | 106 |
Copyright | |
13 other sections not shown
Other editions - View all
Continuous and Discrete Signals and Systems Samir S. Soliman,Mandyam Dhati Srinath Snippet view - 1990 |
Continuous and Discrete Signals and Systems Samir S. Soliman,Mandyam D. Srinath No preview available - 1998 |
Common terms and phrases
A₁ aliasing amplitude analog signal b₁ bandwidth bilateral Laplace transform Butterworth Butterworth filter canonical form causal Chapter Chebyshev filter complex exponentials components computation Consider continuous-time signal continuous-time system corresponding defined determine difference equation differential equation digital filter discrete-time Fourier transform discrete-time signal discrete-time systems energy equivalent Example exp[-aT exp[-jn finite follows Fourier-series coefficients frequency response H₁(s harmonic impulse response input x(t integral interval inverse linear low-pass filter LTI system magnitude spectrum matrix multiplying obtain output partial-fraction passband periodic convolution periodic signal x(t periodic with period plane poles Problem pulse quantizer Re{s rect rectangular region of convergence result sampled signal Section shift shown in Figure side of Equation simulation diagram solution system described T₁ theorem time-invariant tion transfer function values variable w₁ waveform x₁ y₁(t yields Z-transform zero π π пп