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
dω
f(t)
=
(8-1b)
−∞
Search WWH ::
Custom Search