Digital Signal Processing Reference
In-Depth Information
Substituting this into Eq. (16.110) and simplifying, we get
E mmse = σ s π
−π
1
2 π
(16 . 117)
H ( e )
|
|
Similarly, Eq. (16.111) can be rewritten by substituting from Eq. (16.116):
π
2
1
2 π
σ s
|
H ( e )
|
−π
E ZF =
(16 . 118)
1
1
2 π
1
2 π
|
H ( e )
|
|
H ( e )
| 2
F
F
Substituting from Eqs. (16.117) and (16.118) into the left hand side of Eq.
(16.113) and simplifying we get
π
1
2 π
σ s
E mmse
σ s
E ZF
|
H ( e )
| 2
−π
=
(16 . 119)
π
2
1
2 π
|
H ( e )
|
π
Now, using Cauchy-Schwartz inequality (Appendix A) it readily follows that
the above right-hand side is
1 . This proves Eq. (16.113) or equivalently
(16.112) under the assumption (16.115). Next consider the more general
case where
H ( e )
c .
|
|≤
,
ω
∈F
(16 . 120)
In the expression (16.110) for
are involved, so
E mmse is not affected by this. From the expression (16.111) for
E mmse , only integrals over
F
E ZF , it is
clear that if we use Eq. (16.120) instead of Eq. (16.115), the result can only
get larger because 1 /
H ( e )
|
|
gets larger in
F c . Thus, Eq. (16.113) continues
to hold.
 
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