Geology Reference
In-Depth Information
with
+···+
γ
N
z
N
Γ
(
z
)
=
1
+
γ
1
z
(2.459)
as the z-transform of the prediction error filter and
h
−
N
z
−
N
h
1
z
−
1
H
(
z
)
=
+···+
(2.460)
as the z-transform of the sequence
h
j
.AsexplainedinSection2.1.5,
Ψ
(
z
) can be
factored as
F
(
z
)
F
∗
(1/
z
∗
)
F
(
z
)
R
(
z
)/
z
N
Ψ
(
z
)
=
=
,
(2.461)
where
F
(
z
) is the z-transform of a wavelet,
f
N
z
N
F
(
z
)
=
f
0
+
f
1
z
+···+
,
(2.462)
and
f
N
+
f
N
−
1
z
f
0
z
N
R
(
z
)
=
+···+
(2.463)
is the z-transform of the reverse wavelet. Multiplying the z-transform of the predic-
tion error equations (2.458) by
z
N
/
R
(
z
) and then performing polynomial division,
we find that
z
N
P
N
+
1
R
(
z
)
+
z
N
H
(
z
)
R
(
z
)
Γ
(
z
)
F
(
z
)
=
f
1
f
∗
2
h
1
z
−
1
f
0
+···
.
P
N
+
1
f
0
−
P
N
+
1
z
−
1
=
+···+
(2.464)
0
The left-hand side of this expression is a polynomial of degree 2
N
, while the right-
hand side, except for the first constant term, consists of terms in negative powers
of
z
. Thus,
P
N
+
1
f
0
=
Γ
(
z
)
F
(
z
)
=
f
0
.
(2.465)
The reciprocal of
Ψ
(
z
) can then be written
2
P
N
+
1
Γ
1
F
(
z
)
F
∗
(1/
z
∗
)
=
|
f
0
|
1
Γ
∗
(1/
z
∗
)
(
z
)
=
(
z
)
Ψ
Γ
∗
(1/
z
∗
)
P
N
+
1
.
=
Γ
(
z
)
(2.466)
The condition (2.454) for the entropy rate to be an extremum (a maximum) with
respect to the unknown autocorrelations provides the identification
(
z
)
(
P
N
+
1
)
1/2
2
f
N
Γ
G
(
z
)
=
(2.467)
Search WWH ::
Custom Search