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f
t
DT
C
W
T
h
a
s
v
er
if
ied
to
b
e
an
ef
f
ec
ti
v
e
m
u
lti
-
r
eso
lu
tio
n
t
r
an
s
f
o
r
m
f
o
r
i
m
a
g
e
f
u
s
io
n
w
i
th
it
s
ab
ilit
y
to
p
ick
u
p
t
h
e
d
i
r
ec
tio
n
al
an
d
s
h
i
f
t
in
v
ar
ia
n
t p
r
o
p
er
ties
.
2.
Q
UAR
T
E
R
SH
I
F
T
DUA
L
T
RE
E
CO
M
P
L
E
X
WA
VE
L
E
T
T
RA
NSFO
RM
T
h
e
DW
T
th
at
is
in
te
n
s
e
l
y
s
a
m
p
led
s
u
f
f
er
s
f
r
o
m
a
d
ea
r
th
o
f
s
h
i
f
t
in
v
ar
ia
n
ce
in
1
-
D
an
d
d
ir
ec
tio
n
al
s
en
s
iti
v
it
y
i
n
N
-
D.
T
o
co
n
q
u
er
t
h
ese
p
r
o
b
le
m
s
,
DT
C
W
T
,
w
h
ic
h
is
ap
p
r
o
x
i
m
a
tel
y
s
h
i
f
t
-
i
n
v
ar
ia
n
t,
co
m
p
u
tatio
n
all
y
e
f
f
icien
t
a
n
d
d
ir
ec
tio
n
all
y
s
elec
ti
v
e,
is
d
ev
elo
p
ed
.
T
h
e
DT
C
W
T
is
an
ad
v
an
ce
d
w
av
ele
t
tr
an
s
f
o
r
m
w
h
ich
p
r
o
d
u
ce
s
t
h
e
r
ea
l
an
d
i
m
ag
i
n
ar
y
p
ar
ts
o
f
tr
an
s
f
o
r
m
co
ef
f
icie
n
t
s
b
y
u
s
i
n
g
a
d
u
al
-
tr
ee
o
f
r
ea
l
w
a
v
elet
f
i
lter
s
.
I
m
p
le
m
e
n
tat
i
o
n
o
f
th
e
DT
C
W
T
is
d
o
n
e
w
it
h
t
w
o
d
i
f
f
er
e
n
t
t
w
o
-
c
h
an
n
el
FIR
f
ilter
b
an
k
s
.
Fo
r
o
n
e
o
f
th
e
f
ilter
b
an
k
s
t
h
e
o
u
tp
u
t
is
co
n
s
id
er
ed
to
b
e
th
e
r
ea
l
p
ar
t
(
T
r
ee
A
)
,
w
h
ile
f
o
r
th
e
o
th
er
f
ilter
b
an
k
th
e
o
u
tp
u
t
i
s
co
n
s
id
er
ed
to
b
e
th
e
i
m
a
g
i
n
ar
y
p
ar
t
(
T
r
ee
B
)
.
T
w
o
cr
iticall
y
s
a
m
p
led
f
i
lter
b
an
k
s
ar
e
u
s
ed
b
y
t
h
e
DT
C
W
T
;
f
o
r
a
d
-
d
im
e
n
s
io
n
a
l
i
m
a
g
e
th
e
r
ed
u
n
d
an
c
y
i
s
2
d
.
Fig
u
r
e
1
r
ef
lects
t
h
r
ee
lev
e
ls
o
f
th
e
f
ilter
b
an
k
s
tr
u
ct
u
r
e
f
o
r
1
-
D
DT
C
W
T
.
Du
e
to
it
s
s
h
i
f
t
i
n
v
ar
ian
ce
,
i
m
ag
es
f
u
s
ed
b
y
DT
C
W
T
ar
e
s
m
o
o
th
an
d
co
n
ti
n
u
o
u
s
w
h
ile
i
m
ag
es
f
u
s
ed
b
y
DW
T
co
n
tain
ir
r
eg
u
lar
ed
g
es.
A
n
o
t
h
er
m
aj
o
r
s
u
p
er
i
o
r
ity
o
f
DT
C
W
T
is
g
o
o
d
d
ir
ec
tio
n
al
s
elec
ti
v
it
y
s
i
n
ce
DT
C
W
T
p
r
o
d
u
ce
s
s
i
x
s
u
b
-
b
an
d
s
f
o
r
b
o
th
r
ea
l
an
d
i
m
a
g
i
n
ar
y
p
ar
ts
in
(
±
1
5
∘
,
±
4
5
∘
,
±
7
5
∘
)
at
ea
ch
s
ca
le,
w
h
er
ea
s
DW
T
m
er
el
y
p
r
ese
n
t
s
li
m
ited
d
ir
ec
tio
n
s
i
n
(
0
∘
,
4
5
∘
,
9
0
∘
)
,
w
h
ic
h
i
m
p
r
o
v
e
s
t
h
e
t
r
an
s
f
o
r
m
p
r
ec
is
io
n
an
d
k
ee
p
s
m
o
r
e
d
etailed
in
f
o
r
m
atio
n
.
Ho
w
e
v
er
,
th
er
e
ex
i
s
t a
f
e
w
p
r
o
b
lem
s
w
it
h
th
e
o
d
d
/ev
e
n
f
i
lte
r
a
p
p
r
o
ac
h
in
DT
C
W
T
[
1
6
]:
i.
Go
o
d
s
y
m
m
etr
y
d
o
es
n
’
t e
x
i
s
t
in
th
e
s
u
b
-
s
a
m
p
li
n
g
s
tr
u
ct
u
r
e
ii.
Fre
q
u
en
c
y
r
esp
o
n
s
e
s
ar
e
s
lig
h
tl
y
d
if
f
er
e
n
t f
o
r
th
e
t
w
o
tr
ee
s
;
iii.
T
h
e
f
ilter
s
ets
n
ee
d
to
b
e
b
i
-
o
r
th
o
g
o
n
al,
r
ath
er
th
a
n
b
ein
g
o
r
t
h
o
g
o
n
al,
a
s
th
e
y
ar
e
lin
ea
r
p
h
ase.
T
h
is
r
ef
lects t
h
at
p
r
eser
v
atio
n
o
f
e
n
er
g
y
d
o
esn
’
t e
x
is
t b
et
w
ee
n
th
e
s
ig
n
al
s
an
d
tr
an
s
f
o
r
m
d
o
m
ai
n
s
.
T
o
m
i
n
i
m
ize
an
d
o
v
er
co
m
e
a
ll
o
f
th
e
ab
o
v
e,
a
q
s
h
if
t
DT
C
W
T
is
p
r
o
p
o
s
ed
,
as
in
Fig
u
r
e
2
,
w
h
er
e
o
n
e
ca
n
n
o
tice
ev
e
n
len
g
t
h
i
n
all
th
e
f
il
ter
s
b
ey
o
n
d
lev
el
1
.
B
ey
o
n
d
lev
el
1
,
1
/2
s
am
p
le
d
ela
y
d
if
f
er
en
ce
is
o
b
tain
ed
w
it
h
f
ilter
d
ela
y
s
o
f
1
/4
an
d
3
/4
o
f
a
s
am
p
le
p
er
io
d
(
in
s
tead
o
f
0
a
n
d
1
/2
a
s
a
m
p
le
f
o
r
o
u
r
o
r
ig
i
n
al
DT
C
W
T
)
.
A
n
a
s
y
m
m
etr
ic
ev
e
n
-
len
g
th
f
ilter
a
n
d
it
s
ti
m
e
r
ev
er
s
e
ca
n
ac
h
ie
v
e
t
h
is
.
O
w
i
n
g
to
th
e
as
y
m
m
etr
y
,
th
ese
ca
n
b
e
d
esig
n
ed
to
p
r
o
d
u
ce
an
o
r
th
o
n
o
r
m
al
p
er
f
ec
t
r
ec
o
n
s
tr
u
ctio
n
w
av
ele
t
tr
an
s
f
o
r
m
.
R
e
v
er
s
e
o
f
T
r
ee
-
A
f
ilter
s
ar
e
T
r
ee
-
B
f
ilter
s
,
an
d
r
ev
er
s
e
o
f
a
n
al
y
s
is
f
ilter
s
ar
e
r
ec
o
n
s
tr
u
ctio
n
f
il
ter
s
,
s
o
all
f
ilter
s
ar
e
f
r
o
m
t
h
e
s
a
m
e
o
r
th
o
n
o
r
m
a
l
s
et.
Sa
m
e
f
r
eq
u
en
c
y
r
e
s
p
o
n
s
e
s
ar
e
r
ef
lecte
d
in
b
o
th
th
e
tr
ee
s
.
T
h
o
u
g
h
t
h
e
s
ep
ar
ate
r
esp
o
n
s
es
ar
e
asy
m
m
etr
ic,
th
e
co
m
b
i
n
e
d
co
m
p
lex
i
m
p
u
l
s
e
r
esp
o
n
s
es
ar
e
co
n
j
u
g
ated
s
y
m
m
etr
ic
ab
o
u
t
th
eir
m
id
p
o
in
ts
.
I
t
is
f
o
r
th
is
r
ea
s
o
n
th
at
s
y
m
m
etr
ic
ex
ten
s
io
n
s
till
w
o
r
k
s
at
i
m
a
g
e
ed
g
e
s
.
Fig
u
r
e
1
.
Fil
ter
b
an
k
s
tr
u
ct
u
r
e
f
o
r
DT
C
W
T
Fig
u
r
e
2
.
Q
s
h
i
f
t D
T
C
W
T
f
ilter
s
tr
u
ctu
r
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
P
erfo
r
ma
n
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ev
a
lu
a
tio
n
o
f q
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r
ter s
h
ift d
u
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l tree
co
mp
lex
w
a
ve
let
tr
a
n
s
fo
r
m
b
a
s
ed
…
(
N
.
R
a
d
h
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)
2379
3.
P
RO
P
O
SE
D
M
E
T
H
O
D
W
h
en
t
w
o
in
p
u
t i
m
ag
e
s
A
an
d
B
ar
e
c
o
n
s
id
er
ed
,
th
e
p
r
o
p
o
s
e
d
m
et
h
o
d
co
n
tai
n
s
t
h
e
f
o
llo
w
i
n
g
s
tep
s
:
a.
P
er
f
o
r
m
l
-
lev
el
q
s
h
i
f
t
DT
C
W
T
o
n
s
o
u
r
ce
i
m
ag
e
s
A
an
d
B
t
o
g
et
lo
w
an
d
h
i
g
h
-
f
r
eq
u
e
n
c
y
s
u
b
-
b
an
d
s
at
ea
ch
lev
el
l
a
n
d
d
ir
ec
tio
n
d
d
en
o
ted
as
in
(
1
)
A
:
{
L
A
,
H
,
A
}
,
a
nd
B
:
{
L
B
,
H
,
B
}
(
1
)
W
h
er
e
L
A
,
L
B
: lo
w
f
r
eq
u
e
n
c
y
co
e
f
f
i
cien
ts
H
,
A
,
H
,
B
:
h
ig
h
f
r
eq
u
e
n
c
y
co
e
f
f
ic
ien
t
s
b.
Fu
s
io
n
o
f
lo
w
-
f
r
eq
u
e
n
c
y
s
u
b
-
b
an
d
s
:
S
h
a
n
n
o
n
en
tr
o
p
y
b
as
ed
f
u
s
io
n
r
u
le
i
s
u
s
ed
to
f
u
s
e
lo
w
f
r
eq
u
en
c
y
co
ef
f
icie
n
t
s
in
lo
w
-
f
r
eq
u
en
c
y
s
u
b
-
b
an
d
s
u
s
i
n
g
(
2
)
-
(
6
)
.
1)
Sh
a
n
n
o
n
en
tr
o
p
y
o
f
lo
w
-
f
r
eq
u
en
c
y
co
e
f
f
ic
ien
t
s
i
n
a
r
eg
io
n
R
ce
n
ter
ed
at
(
x
,
y
)
is
ca
lcu
lated
as
E
A
(
x
,
y
)
=
∑
L
A
i
,
j
ϵ
R
(
i
,
j
)
2
l
og
(
L
A
(
i
,
j
)
2
)
(
2
)
E
B
(
x
,
y
)
=
∑
L
B
i
,
j
ϵ
R
(
i
,
j
)
2
l
og
(
L
B
(
i
,
j
)
2
)
(
3
)
2)
S
alien
t
i
n
f
o
r
m
atio
n
is
e
x
tr
ac
te
d
f
r
o
m
ea
ch
i
m
ag
e
lo
w
-
f
r
eq
u
e
n
c
y
co
e
f
f
ic
ien
t
s
at
lo
ca
tio
n
(
x
,
y
)
as
S
A
(
x
,
y
)
=
E
A
(
x
,
y
)
E
A
(
x
,
y
)
+
E
B
(
x
,
y
)
(
4
)
S
B
(
x
,
y
)
=
E
B
(
x
,
y
)
E
A
(
x
,
y
)
+
E
B
(
x
,
y
)
(
5
)
3)
L
o
w
-
f
r
eq
u
e
n
c
y
co
ef
f
icie
n
ts
ar
e
f
u
s
ed
as
L
F
(
x
,
y
)
=
S
A
(
x
,
y
)
L
A
(
x
,
y
)
+
S
B
(
x
,
y
)
L
B
(
x
,
y
)
(
6
)
c.
Fu
s
io
n
o
f
h
i
g
h
-
f
r
eq
u
e
n
c
y
s
u
b
-
b
an
d
s
:
h
i
g
h
-
f
r
eq
u
e
n
c
y
co
e
f
f
icie
n
ts
i
n
h
i
g
h
-
f
r
eq
u
e
n
c
y
s
u
b
-
b
an
d
s
ar
e
f
u
s
ed
b
ased
o
n
f
u
s
io
n
r
u
le
u
s
i
n
g
(
7
)
,
to
s
elec
t
th
e
la
r
g
er
ab
s
o
lu
te
v
alu
e
o
f
t
h
e
h
ig
h
-
f
r
eq
u
en
c
y
co
ef
f
icie
n
t
s
,
s
i
n
ce
th
e
s
e
co
ef
f
i
cien
ts
co
r
r
esp
o
n
d
to
ed
g
es a
n
d
o
b
j
ec
t b
o
u
n
d
ar
ies etc
.
H
,
F
(
x
,
y
)
=
{
H
,
A
(
x
,
y
)
,
|
H
,
A
(
x
,
y
)
|
≥
|
H
,
B
(
x
,
y
)
|
H
,
B
(
x
,
y
)
,
|
H
,
A
(
x
,
y
)
|
<
|
H
,
B
(
x
,
y
)
|
(
7
)
d.
P
er
f
o
r
m
l
-
le
v
el
in
v
er
s
e
q
s
h
i
f
t
DT
C
W
T
o
n
th
e
co
m
p
o
s
ited
lo
w
-
an
d
h
ig
h
-
f
r
eq
u
en
c
y
s
u
b
-
b
a
n
d
s
to
o
b
tain
th
e
f
u
s
ed
i
m
a
g
e.
4.
E
VA
L
UA
T
I
O
N
T
h
e
p
r
o
p
o
s
ed
m
et
h
o
d
’s
p
er
f
o
r
m
an
ce
ca
n
b
e
ev
al
u
ated
u
s
i
n
g
r
ef
er
en
ce
an
d
n
o
n
-
r
e
f
er
en
ce
o
b
j
ec
tiv
e
m
ea
s
u
r
es
.
4
.
1
.
Ref
er
ence
m
ea
s
ures
a.
P
ea
k
Sig
n
a
l
to
No
is
e
R
atio
(
PS
NR
)
:
T
h
e
P
SNR
b
etw
ee
n
th
e
g
r
o
u
n
d
tr
u
t
h
i
m
a
g
e
R
an
d
th
e
f
u
s
ed
i
m
ag
e
F is
d
ef
i
n
ed
as
in
(
8
)
=
10
lo
g
10
[
×
1
2
∑
[
(
,
)
−
(
,
)
]
2
,
=
1
]
(
8
)
b.
Stru
ct
u
r
al
Si
m
ilar
it
y
I
n
d
ex
Me
asu
r
e
(
SS
I
M)
[
1
7
]
:
R
ep
r
esen
tat
io
n
o
f
SS
I
M
b
et
w
ee
n
t
h
e
g
r
o
u
n
d
tr
u
th
i
m
a
g
e
R
a
n
d
f
u
s
ed
i
m
a
g
e
F i
s
g
iv
e
n
b
y
(
9
)
=
(
2
+
1
)
(
2
+
2
)
(
2
+
2
+
1
)
(
2
+
2
+
2
)
(
9
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
4
,
A
u
g
u
s
t 2
0
1
9
:
2
3
77
-
2385
2380
4
.
2
.
No
n
-
re
f
er
ence
m
ea
s
ure
s
a.
Stan
d
ar
d
d
ev
iatio
n
: I
t i
s
u
s
ed
t
o
ev
alu
ate
t
h
e
f
u
s
ed
i
m
a
g
e
co
n
tr
ast.
W
h
ic
h
is
d
e
f
in
ed
as
(
1
0
)
:
σ
=
√
∑
(
i
−
i
̅
)
2
L
i
=
0
h
I
f
(
i
)
,
i
̅
=
∑
ih
I
f
L
i
=
0
(
1
0
)
b.
Sp
atial
Fre
q
u
en
c
y
(
SF
)
:
T
o
q
u
an
t
it
y
t
h
e
clar
it
y
lev
e
l
o
f
an
i
m
a
g
e
,
s
p
atial
f
r
eq
u
e
n
c
y
ca
n
b
e
u
s
ed
.
I
f
th
e
SF
v
al
u
e
is
lar
g
er
it d
en
o
tes b
etter
f
u
s
io
n
r
es
u
lt
a
n
d
is
d
ef
i
n
ed
u
s
in
g
(
1
1
)
-
(
1
3
)
:
RF
=
√
1
MN
∑
∑
[
I
F
(
x
,
y
)
−
I
F
(
x
,
y
−
1
)
]
2
N
y
=
2
M
x
=
1
(
1
1
)
CF
=
√
1
MN
∑
∑
[
I
F
(
x
,
y
)
−
I
F
(
x
−
1
,
y
)
]
2
N
y
=
2
M
x
=
1
(
1
2
)
SF
=
√
RF
2
+
CF
2
(
1
3
)
5.
RE
SU
L
T
S
A
ND
AN
AL
Y
SI
S
T
h
e
p
r
o
p
o
s
ed
m
et
h
o
d
is
v
er
if
ied
o
n
s
o
u
r
ce
im
a
g
es
o
f
m
u
l
t
i
-
f
o
cu
s
r
ef
er
e
n
ce
i
m
a
g
es,
n
o
n
-
r
ef
er
e
n
ce
i
m
a
g
es a
n
d
m
i
cr
o
s
co
p
ic
i
m
a
g
es.
5
.
1
.
E
x
peri
m
ent
o
n
m
u
lt
if
o
cus
i
m
a
g
es
(
w
it
h
re
f
er
ence
i
m
a
g
e)
T
h
e
f
ir
s
t
ex
p
er
i
m
en
t
is
p
er
f
o
r
m
ed
u
s
i
n
g
ar
ti
f
iciall
y
cr
ea
te
d
s
o
u
r
ce
i
m
a
g
es
w
i
th
d
i
v
er
g
en
t
f
o
cu
s
lev
els.
T
h
r
ee
s
ta
n
d
ar
d
i
m
a
g
es
C
a
m
er
a
m
a
n
,
B
o
at
,
L
e
n
a
o
f
U
SC
-
SIP
I
d
atab
ase
ar
e
u
s
e
d
as
r
ef
er
en
ce
i
m
a
g
es
i
n
th
is
e
x
p
er
i
m
e
n
t.
Fo
r
ea
ch
r
ef
e
r
en
ce
i
m
a
g
e,
t
w
o
s
o
u
r
ce
i
m
a
g
es
ar
e
p
r
o
d
u
ce
d
b
y
f
il
ter
in
g
t
h
e
r
ef
er
en
ce
i
m
a
g
e
w
it
h
a
5
˟
5
g
a
u
s
s
ia
n
f
ilter
ce
n
t
er
ed
at
th
e
to
p
,
b
o
tto
m
,
a
n
d
le
f
t
a
n
d
r
ig
h
t
p
ar
ts
r
esp
ec
ti
v
l
y
.
B
o
th
th
e
r
e
f
er
en
ce
an
d
ar
tif
icial
l
y
g
en
er
ated
s
o
u
r
ce
im
ag
e
s
ar
e
s
h
o
w
n
i
n
Fi
g
u
r
e
s
3
,
4
an
d
5
.
(
a)
(
b
)
(
c)
Fig
u
r
e
3
.
R
ef
er
en
ce
a
n
d
s
o
u
r
c
e
i
m
ag
e
s
o
f
C
a
m
er
a
m
a
n
,
(
a)
R
ef
er
en
ce
i
m
a
g
e,
(
b
)
First s
o
u
r
ce
i
m
a
g
e
w
it
h
b
lu
r
o
n
to
p
,
(
c)
Seco
n
d
s
o
u
r
ce
im
ag
e
w
i
th
b
l
u
r
o
n
b
o
tto
m
(
a)
(
b
)
(
c)
Fig
u
r
e
4
.
R
ef
er
en
ce
a
n
d
s
o
u
r
c
e
i
m
ag
e
s
o
f
B
o
at
,
(
a)
R
ef
er
en
c
e
i
m
ag
e,
(
b
)
First s
o
u
r
ce
i
m
a
g
e
w
it
h
b
lu
r
o
n
lef
t,
(
c)
Seco
n
d
s
o
u
r
ce
i
m
ag
e
w
i
th
b
l
u
r
o
n
r
ig
h
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
P
erfo
r
ma
n
ce
ev
a
lu
a
tio
n
o
f q
u
a
r
ter s
h
ift d
u
a
l tree
co
mp
lex
w
a
ve
let
tr
a
n
s
fo
r
m
b
a
s
ed
…
(
N
.
R
a
d
h
a
)
2381
(
a)
(
b
)
(
c)
Fig
u
r
e
5
.
R
ef
er
en
ce
a
n
d
s
o
u
r
c
e
i
m
ag
e
s
o
f
L
e
n
a
,
(
a)
R
ef
er
en
ce
i
m
ag
e,
(
b
)
First s
o
u
r
ce
i
m
a
g
e
w
it
h
b
lu
r
o
n
lef
t,
(
c)
Seco
n
d
s
o
u
r
ce
i
m
ag
e
w
i
th
b
l
u
r
o
n
r
ig
h
t
T
h
e
q
u
alitativ
e
a
n
al
y
s
i
s
o
f
p
r
o
p
o
s
ed
m
et
h
o
d
h
as b
ee
n
d
o
n
e
u
s
in
g
f
u
s
io
n
r
es
u
lt
s
o
f
ca
m
er
a
m
an
i
m
ag
e
b
y
d
if
f
er
e
n
t
f
u
s
io
n
m
et
h
o
d
s
as
s
h
o
w
n
in
Fi
g
u
r
e
6
(
a)
-
(
f
)
.
Fro
m
F
ig
u
r
e
6
(
a)
,
o
n
e
ca
n
f
i
n
d
t
h
at
DW
T
m
et
h
o
d
[
6
]
,
y
ield
s
r
i
n
g
in
g
ar
ti
f
ac
ts
i
n
f
u
s
ed
i
m
ag
e
d
u
e
to
la
ck
o
f
s
h
i
f
t
–
in
v
a
r
ia
n
ce
.
Ho
w
e
v
er
,
f
u
s
ed
i
m
ag
e
o
f
SW
T
m
eth
o
d
[
7
]
,
in
Fig
u
r
e
6
(
b
)
r
ed
u
ce
s
th
e
co
n
tr
ast
i
n
f
u
s
e
d
im
a
g
e.
T
h
e
MSVD
m
eth
o
d
[
10
]
,
in
Fig
u
r
e
6
(
c)
s
h
o
w
s
d
is
co
n
tin
u
it
ies
in
ed
g
e
s
.
T
h
e
D
C
HW
T
m
eth
o
d
[
11
]
,
in
tr
o
d
u
ce
s
b
lo
ck
i
n
g
ar
ti
f
ac
t
s
in
f
u
s
ed
i
m
ag
e
i
n
Fig
u
r
e
6
(
d
)
.
Th
e
DDDW
T
m
eth
o
d
[
1
4
]
,
also
y
ield
s
b
lu
r
r
in
g
an
d
r
in
g
i
n
g
ar
tif
ac
t
s
in
f
u
s
e
d
im
a
g
e
s
h
o
w
n
i
n
Fig
u
r
e
6
(
e)
.
On
e
ca
n
o
b
s
er
v
e
f
r
o
m
Fi
g
u
r
e
6
(
f
)
th
a
t
t
h
e
p
r
o
p
o
s
ed
m
et
h
o
d
g
i
v
es
f
u
s
ed
i
m
a
g
e
w
i
th
o
u
t
b
l
u
r
r
in
g
an
d
g
o
o
d
co
n
tr
ast.
T
h
e
lo
g
ic
is
th
at
th
e
s
h
if
t
-
in
v
ar
ian
ce
p
r
o
p
er
ty
o
f
q
-
s
h
i
f
t
DT
C
W
T
in
p
r
o
p
o
s
ed
m
eth
o
d
r
ed
u
ce
s
ar
ti
f
ac
ts
w
it
h
p
er
f
ec
t
r
ec
o
n
s
tr
u
cted
f
u
s
ed
i
m
a
g
e
a
n
d
its
d
ir
ec
tio
n
a
l
s
elec
tiv
it
y
r
e
p
r
esen
ts
ed
g
es
m
o
r
e
ef
f
icien
tl
y
.
Si
m
ilar
o
b
s
er
v
at
i
o
n
s
ar
e
f
o
u
n
d
in
ex
p
er
i
m
en
t
atio
n
w
it
h
b
o
at
a
n
d
L
e
n
a
i
m
ag
e
s
a
s
s
h
o
w
n
in
Fi
g
u
r
e
s
7
a
n
d
8
.
T
h
e
q
u
an
ti
ta
tiv
e
a
n
al
y
s
i
s
o
f
p
r
o
p
o
s
ed
m
et
h
o
d
is
d
o
n
e
b
y
co
m
p
ar
i
n
g
th
e
f
u
s
ed
i
m
a
g
e
w
it
h
r
ef
er
en
ce
i
m
ag
e
t
h
r
o
u
g
h
r
ef
er
en
ce
m
ea
s
u
r
e
s
lik
e
P
SN
R
an
d
SS
I
M
as g
iv
e
n
i
n
T
ab
le
1
.
Fro
m
T
ab
le
1
it c
an
b
e
o
b
s
er
v
ed
th
at,
P
SNR
a
n
d
SS
I
M
v
al
u
es
o
b
tain
ed
i
n
t
h
e
p
r
o
p
o
s
ed
m
e
th
o
d
ar
e
b
etter
t
h
a
n
a
n
y
o
th
er
f
u
s
io
n
m
et
h
o
d
s
.
Fig
u
r
e
6
.
C
o
m
p
ar
is
o
n
o
f
f
u
s
i
o
n
r
esu
lt
s
o
f
d
if
f
er
e
n
t
f
u
s
io
n
m
et
h
o
d
s
(
C
a
m
er
a
m
a
n
)
(
a)
Fu
s
ed
im
a
g
e
u
s
i
n
g
DW
T
[
6
]
,
(
b
)
Fu
s
ed
i
m
a
g
e
u
s
i
n
g
SW
T
[
7
]
,
(
c
)
Fu
s
ed
i
m
a
g
e
u
s
i
n
g
MSVD
[1
0
]
,
(
d
)
Fu
s
ed
im
ag
e
u
s
in
g
DC
HW
T
[
1
1
]
,
(
e
)
Fu
s
ed
i
m
a
g
e
u
s
i
n
g
D
DDW
T
[
1
4
]
,
(
f
)
Fu
s
ed
im
a
g
e
u
s
i
n
g
p
r
o
p
o
s
ed
m
eth
o
d
Fig
u
r
e
7
.
C
o
m
p
ar
is
o
n
o
f
f
u
s
io
n
r
esu
lts
o
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RE
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NC
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S
[1
]
P
.
S
h
a
h
,
S
N.
M
e
rc
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a
n
d
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,
v
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l.
7
,
p
p
.
95
-
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0
9
,
2
0
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[2
]
Y.
Ch
a
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H.
L
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d
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L
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.
[3
]
B.
Zh
a
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.
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.
Yu
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[4
]
I.
S
.
W
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n
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n
d
R.
S
a
b
re
,
“
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ter
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ms
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v
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l.
4
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p
p
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3
7
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4
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2
0
1
6
.
[5
]
V
.
P
e
tr
o
v
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n
d
C.
X
y
d
e
a
s,
“
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r
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lt
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lu
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1
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]
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S.
L
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B.
Ya
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g
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a
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d
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Hu
,
“
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1
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[8
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A
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n
d
T
a
ru
n
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lati,
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Re
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tel
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ter
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trica
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l.
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6
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p
p
.
3
3
9
5
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3
4
0
1
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2
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7
.
[9
]
P.
Bo
rw
o
n
w
a
tan
a
d
e
lo
k
,
W
.
Ra
tt
a
n
a
p
it
a
k
,
a
n
d
S
.
Ud
o
m
h
u
n
sa
k
u
l,
“
M
u
lt
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-
Fo
c
u
s
Ima
g
e
Fu
si
o
n
b
a
se
d
o
n
S
t
a
ti
o
n
a
ry
W
a
v
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let
T
ra
n
sfo
rm
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n
d
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x
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e
d
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p
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ti
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l
Fre
q
u
e
n
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y
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e
a
su
re
me
n
t
,
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in
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ti
o
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l
C
o
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p
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2
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9
.
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,
p
p
.
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7
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[1
0
]
V
.
P
.
S
.
Na
id
u
,
“
Im
a
g
e
F
u
sio
n
T
e
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h
n
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e
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e
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e
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rn
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l,
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l
.
6
1
,
p
p
.
4
7
9
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8
4
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2
0
1
1
.
[1
1
]
B.
K.
S
h
re
y
a
m
sh
a
Ku
m
a
r,
“
M
u
lt
if
o
c
u
s
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n
d
m
u
lt
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e
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tral
im
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g
e
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sin
e
h
a
rm
o
n
ic w
a
v
e
let
tran
sf
o
r
m
,
”
S
ig
n
a
l,
Ima
g
e
a
n
d
V
id
e
o
Pro
c
e
ss
in
g
,
v
o
l.
7
,
p
p
.
1
1
2
5
-
1
1
4
3
,
2
0
1
3
.
[1
2
]
H.
L
i,
S
.
W
e
i,
a
n
d
Y.
C
h
a
i,
“
M
u
lt
if
o
c
u
s
im
a
g
e
f
u
sio
n
sc
h
e
m
e
b
a
se
d
o
n
f
e
a
tu
re
c
o
n
tras
t
in
th
e
li
f
ti
n
g
sta
ti
o
n
a
ry
w
a
v
e
let
d
o
m
a
in
,
”
EURA
S
IP
J
o
u
r
n
a
l
o
n
Ad
v
a
n
c
e
s in
S
i
g
n
a
l
Pro
c
e
s
sin
g
,
p
p
.
1
-
1
6
,
2
0
1
2
.
[1
3
]
Z.
Yu
e
li
n
,
L
.
X
iao
q
ian
g
,
a
n
d
T
.
Wan
g
,
“
V
isib
le
a
n
d
I
n
f
ra
re
d
Im
a
g
e
F
u
sio
n
u
si
n
g
th
e
L
if
t
in
g
W
a
v
e
let,
”
T
e
lec
o
mm
u
n
ica
ti
o
n
Co
mp
u
ti
n
g
E
lec
tro
n
ics
a
n
d
C
o
n
tr
o
l
(
T
EL
KOM
NIKA
)
, v
o
l.
1
1
,
No
.
1
1
,
p
p
.
6
2
9
0
-
6
2
9
5
,
2
0
1
3
.
[1
4
]
J.
P
u
jar
a
n
d
R.
R.
Itk
a
rk
a
r,
“
I
m
a
g
e
F
u
sio
n
Us
in
g
Do
u
b
le
De
n
sity
Disc
r
e
te
W
a
v
e
let
T
r
a
n
sf
o
r
m
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
Ne
two
rk
,
v
o
l.
5
,
p
p
.
6
-
1
0
,
2
0
1
6
.
[1
5
]
J.
L
iu
,
J.
Ya
n
g
a
n
d
B.
L
i,
“
M
u
lt
i
-
f
o
c
u
s
Im
a
g
e
F
u
sio
n
b
y
S
M
L
in
th
e
S
h
e
a
rlet
S
u
b
b
a
n
d
s,”
T
EL
KOM
NIKA
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
En
g
i
n
e
e
rin
g
,
v
o
l.
1
2
,
No
.
1
,
p
p
.
6
1
8
–
6
2
6
,
2
0
1
4
.
[1
6
]
I.
W
.
S
e
les
n
ick
,
RG
.
Ba
ra
n
iu
k
,
a
n
d
NG
.
Kin
g
sb
u
ry
,
“
T
h
e
d
u
a
l
-
tree
c
o
m
p
lex
wa
v
e
l
e
t
tran
sf
o
r
m
,
”
IEE
E
S
i
g
n
a
l
Pro
c
e
ss
in
g
M
a
g
a
zin
e
,
v
o
l.
2
2
,
p
p
.
1
2
3
-
1
5
1
,
2
0
0
5
.
[1
7
]
W
.
Zh
o
u
,
A
C.
Bo
v
ic
,
HR.
S
h
e
ik
h
,
a
n
d
P
.
S
im
o
n
c
e
ll
i,
“
I
m
a
g
e
q
u
a
li
ty
a
ss
e
ss
m
e
n
t:
f
ro
m
e
rro
r
v
isib
il
it
y
to
stru
c
tu
ra
l
sim
il
a
rit
y
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
Ima
g
e
Pro
c
e
ss
in
g
,
v
o
l.
1
3
,
p
p
.
6
0
0
-
6
1
2
,
2
0
0
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
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&
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o
m
p
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n
g
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erfo
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ter s
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l tree
co
mp
lex
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(
N
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2385
B
I
O
G
RAP
H
I
E
S
O
F
AUTH
O
RS
N Ra
d
h
a
d
id
A
M
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f
ro
m
In
stit
u
t
io
n
o
f
En
g
in
e
e
rs (In
d
ia),
Ko
lk
a
ta
a
n
d
M
a
ste
r
o
f
T
e
c
h
n
o
lo
g
y
f
ro
m
Ja
w
a
h
a
rlal
Ne
h
ru
T
e
c
h
n
o
lo
g
ica
l
Un
iv
e
rsity
,
Ka
k
in
a
d
a
.
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h
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is
c
u
rre
n
tl
y
p
u
rsu
i
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h
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.
i
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De
p
a
rtme
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t
o
f
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e
c
tro
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ic
s
a
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d
Co
m
m
u
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ti
o
n
En
g
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g
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g
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Un
iv
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rsit
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u
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n
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.
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r
m
a
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re
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Dig
it
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m
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ro
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g
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h
e
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p
re
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w
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g
a
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ss
o
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ro
f
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r
in
th
e
d
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p
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n
t
o
f
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e
c
tro
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ics
a
n
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C
o
m
m
u
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g
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it
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En
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Co
ll
e
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ra
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p
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m
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d
h
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h
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e
c
tro
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n
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C
o
m
m
u
n
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ti
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n
En
g
i
n
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g
f
ro
m
JN
T
U
H,
H
y
d
e
ra
b
a
d
,
M
.
T
e
c
h
in
E
lec
tro
n
ics
&
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m
m
u
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ica
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n
g
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rin
g
(Dig
it
a
l
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c
tro
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ics
&
Co
m
m
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n
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ti
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n
S
y
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m
s)
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ro
m
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ll
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g
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(A
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m
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s),
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n
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n
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u
r
,
M
.
S
.
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e
c
tro
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ics
&
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n
tr
o
l
E
n
g
in
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rin
g
)
f
ro
m
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S
,
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il
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a
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d
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.
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(
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e
c
tro
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ics
a
n
d
C
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m
m
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n
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n
En
g
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)
f
ro
m
A
M
A
Co
ll
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g
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f
En
g
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(
Aff
il
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d
to
Un
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o
f
M
a
d
ra
s).
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is
c
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rre
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tl
y
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g
a
s
P
ro
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o
r
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a
d
o
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De
p
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t
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c
tro
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&
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m
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in
RV
R
&
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(A
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to
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s).
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re
se
a
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h
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tere
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in
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lu
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a
g
e
P
ro
c
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ss
in
g
,
Em
b
e
d
d
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d
S
y
s
tem
s,
P
a
tt
e
rn
Re
c
o
g
n
it
io
n
,
a
n
d
Di
g
it
a
l
Co
m
m
u
n
ica
ti
o
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.