3.2 The Two-Sided Laplace Transform 171
giving as the system function for the channel,
H(s)=α 0 e−st^0 +···+αNe−stN
Notice that the time shifts in the input–output equation became exponentials in the Laplace
domain, a property we will see later. n
Let us consider the different types of functions (either continuous-time signals or the impulse
responses of continuous-time systems) we might be interested in calculating Laplace transforms of.
n Finite support functions:the functionf(t)in this case is
f(t)= 0 fort6∈finite segmentt 1 ≤t≤t 2
for any finite, positive or negativet 1 andt 2 , and so thatt 1 <t 2. We will see that the Laplace trans-
form of these finite support signals is of particular interest in the computation of the coefficients
of the Fourier series of periodic signals.
n Infinite support functions:In this case,f(t)is defined over an infinite support (e.g.,t 1 <t<t 2 where
eithert 1 ort 2 are infinite, or both are infinite as long ast 1 <t 2 ).
A finite, or infinite, support functionf(t)is called (see examples in Figure 3.3):
nCasualiff(t)= 0 t<0,
nAnti-causaliff(t)= 0 t≥0,
nNon causalif a combination of the above.
In each of these cases we need to consider the region in thes-plane where the transform exists or its
region of convergence (ROC). This is obtained by looking at the convergence of the transform.
FIGURE 3.3
Examples of different types of signals:
(a) noncausal finite support signalx 1 (t), (b) causal
finite support signalx 2 (t), (c) noncausal infinite
support signalx 3 (t), and (d) causal infinite
support signalx 4 (t).
(a)
x 1 (t)
t
(b)
x 2 (t)
t
(d)
x 4 (t)
t
(c)
x 3 (t)
t