Digital Signal Processing Reference
In-Depth Information
sum of two component signals,
x(t) = c 1 x 1 (t) + c 2 x 2 (t)
where c 1 and c 2 are constants, the output of the system will be
y(t) = c 1 y 1 (t) + c 2 y 2 (t)
where y n ( t ) is the output resulting from the input x n ( t )( n =
1 and 2). To gener-
alize, a linear system with input
x(t) =
n
c n x n (t)
will have output
y(t) =
c n y n (t)
n
for any constants c n and where the output y n ( t ) results from the input x n ( t ).
Time invariance means that whether an input to the system is applied at t
0
or t = τ , the output will be identical except for a time delay of τ . For example,
if the output due to input x ( t )is y ( t ), the output due to input x ( t τ )is y ( t τ ).
Simply put, a time delay at the input should produce a corresponding time delay
at the output .
=
8.1.2 Time- and Frequency-Domain Equivalencies
Any time-domain waveform in an LTI system has an equivalent spectrum in the
frequency domain. This means that any time-domain signal, such as a digital
waveform, can also be described fully in terms of its frequency-domain parame-
ters. This concept is important because it allows the frequency-dependent nature
of electromagnetic models to be integrated into time-domain waveforms so that
the signal integrity of digital bits propagating on a bus can be analyzed. The
relationship between a time-domain signal and its frequency-domain equivalent
is described with the Fourier transform :
( 2 π) 1 a
| b |
f(t)e jbωt dt
F(ω) =
(8-1a)
−∞
( 2 π) 1 + a
| b |
F(ω)e jbωt
f(t) =
(8-1b)
−∞
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