Digital Signal Processing Reference
In-Depth Information
in
()
1.0
n
FIGURE 13.7
Impulse train with a period 4 samples.
Hence, using the inverse of discrete Fourier transform,
iðnÞ
can be expressed as
M
1
k ¼
0
IðkÞe
j
M
1
k ¼
0
e
j
1
M
1
M
2
pkn
M
2
pkn
M
iðnÞ¼
¼
(13.5)
M
1
k ¼
0
wðnÞe
j
1
M
2
pkn
M
wðnÞ¼
(13.6)
App
lyi
ng the z-transform in Equation
(13.6)
, we achieve the fundamental relationship between
WðzÞ
and
WðzÞ
:
n
M
1
N
n¼
0
wðnÞe
j
M
1
N
n¼
0
wðnÞ
1
M
1
M
2
pkn
M
z
n
¼
e
j
2
pk
M
WðzÞ¼
z
k ¼
0
k ¼
0
M
1
k ¼
0
W
1
M
(13.7)
e
j
2
pk
M
¼
z
h
i
1
M
2
pðM
1
Þ
M
2
p
0
M
2
p
1
M
e
j
e
j
e
j
¼
z
þ W
z
þ
/
þ W
z
W
Equation
(13.7)
indicates that the signal spectrum
WðzÞ
before the synthesis filter is an average of the
various modulated spectrum
WðzÞ
. Notice that both
WðzÞ
and
WðzÞ
are at the original sampling rate
f
s
.
We will use this result for further development in the next section.
13.2
SUBBAND DECOMPOSITION AND TWO-CHANNEL PERFECT
RECONSTRUCTION QUADRATURE MIRROR FILTER BANK
To explore Equation
(13.7)
, let us begin with a two-band case as illustrated in
Figure 13.8
.
1
k ¼
0
Wðe
j
X
1
2
1
2
½WðzÞþWðzÞ
2
pk
2
WðzÞ¼
zÞ¼
(13.8)
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