Signals & SystemsThis comprehensive exploration of signals and systems develops continuous- time and discrete-time concepts/methods in parallel -- highlighting the similarities and differences -- and features introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback. Relatively self-contained, the book assumes no prior experience with system analysis, convolution, Fourier analysis, or Laplace and z-transforms. FEATURES:
|
Contents
SIGNALS AND SYSTEMS | 1 |
LINEAR TIMEINVARIANT SYSTEMS | 74 |
FOURIER SERIES REPRESENTATION | 177 |
Copyright | |
12 other sections not shown
Other editions - View all
Common terms and phrases
amplitude modulation analysis basic block diagram representation Bode plot cascade causal LTI system Chapter complex exponential Consider continuous-time LTI system continuous-time signals corresponding depicted in Figure difference equation differential equation discrete discrete-time Fourier transform discrete-time LTI system discrete-time signals discrete-time system example finite first-order Fourier coefficients Fourier series coefficients Fourier series representation frequency response function fundamental period given by eq H(ej H(jw ideal lowpass filter illustrated in Figure impulse response h(t impulse train input x(t input x[n integral interval inverse Laplace transform linear combination lowpass filter LTI system magnitude multiplication nonzero obtain output y(t output y[n Parseval's relation periodic signal periodic with period phase Problem pulse response h[n result sampling Section sequence shifted Show shown in Figure side of eq signal x(t signal x[n signals and systems Specifically spectrum step response system with impulse T₁ unit impulse X(ej X(jw x₁(t x₁[n Y(jw zero