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.
 
Search WWH ::




Custom Search