Digital Signal Processing Reference
In-Depth Information
q
(
n
)
k
H
k
α
k
β
k
s
(
n
)
k
s
(
n
)
k
(a)
q
(
n
)
k
1
/H
k
α
k
H
k
β
k
(b)
s
(
n
)
k
s
(
n
)
k
q
(
n
)
k
1
/H
k
α
k
H
k
β
k
(c)
s
(
n
)
k
s
(
n
)
k
q
(
n
)
k
α
k
β
k
s
(
n
)
k
s
(
n
)
k
(d)
Figure 11.5
. Redrawing the
k
th channel path for further simplification.
In Fig. 11.5(a) we show the
k
th branch of the system with channel multiplier
H
k
.
Assuming
H
k
=0wecanalwayswrite
β
k
in the form
2
β
k
=
β
k
H
k
,
(11
.
18)
as shown in Fig. 11.5(b). We now move the noise source to the left of
H
k
to obtain an equivalent noise source
q
k
(
n
)=
q
k
(
n
)
/H
k
.
This is shown in Fig.
11.5(c). Note that
q
k
(
n
) has variance
σ
q
k
=
σ
q
k
(11
.
19)
|
H
k
|
2
The equivalent system of Fig. 11.5(c) can now be redrawn as in Fig. 11.5(d). In
this system we have a channel with unit gain and a noise source with a certain
variance
σ
q
k
.
With each branch of Fig. 11.2 modified in this way, the results of
Chap. 22 can be applied here. For example, for fixed
α
k
the optimal
β
k
that
minimizes the mean square error
|
2
]
E
k
=
E
[
|
s
k
(
n
)
−
s
k
(
n
)
(11
.
20)
2
If
H
k
=0forsome
k,
then no matter how we choose
α
k
and
β
k
, the quantity
s
k
(
n
)would
only be the noise amplified by
β
k
.
So we take the solution to be
α
k
=
β
k
=0when
H
k
=0
for a particular
k.
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