Geology Reference
In-Depth Information
This is just the DFT expressed by (2.148) of the time sequence shifted back by
n
units. Once again, changing the summation index to
=
j
−
n
,wehavethat
=−
2
n
g
e
−
i
2
N
k
.
0
e
−
i
2
N
kn
G
=
Δ
t
(2.156)
k
Because of the periodicity of the input time sequence, the summation range need
only cover one complete cycle. This leads to the
shifting theorem
for DFTs,
G
k
=
e
−
i
2
N
kn
G
k
,
k
=
0,1,...,
n
,
(2.157)
the DFT of a time sequence shifted back by
n
units is found by multiplying the
DFT of the unshifted time sequence by the factor
e
−
i
2
N
kn
.
(2.158)
The DFT,
G
k
, can be found for negative indices using its periodicity, as
e
−
i
2
N
kn
G
−
N
+
k
,
k
G
k
=
=
n
+
1,
n
+
2,...,2
n
.
(2.159)
Thus, the DFT expressed by (2.148) can be found from the generalised DFT expressed
by (2.150) as
e
i
2
N
kn
G
k
=
G
k
,
k
=
0,1,...,
n
,
e
i
2
N
kn
G
k
=
G
k
+
N
,
k
=−
n
,
−
n
+
1,...,
−
1.
(2.160)
2.3.2 The DFT and the z-transform
The discrete Fourier transform (DFT) can be directly related to the z-transform.
From the definition of the z-transform in Section 2.1.2, the z-transform of the
sequence,
g
0
,
g
1
,...,
g
N
−
2
,
g
N
−
1
,is
N
−
1
g
j
z
j
G
(
z
)
=
.
(2.161)
j
=
0
Its DFT, given by (2.150), is
N
−
1
N
−
1
g
j
e
−
i
2
N
kj
g
j
z
j
G
=Δ
t
=Δ
t
=Δ
t
G
(
z
),
(2.162)
k
j
=
0
j
=
0
e
−
i
2
N
k
. If we have a second sequence,
h
0
,
h
1
,...,
h
M
−
2
,
h
M
−
1
, of length
M
,
its convolution with
g
j
is
with
z
=
N
−
1
e
j
=
g
k
h
j
−
k
,
(2.163)
k
=
0
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