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2
0
16
In
stit
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te o
f
A
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Fi
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r
eq
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ai
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tech
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iq
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[
1
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.
T
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[
2
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.
R
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b
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m
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s
t
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r
esis
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e
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
I
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N:
2252
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8776
A
u
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a
terma
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Hyb
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(
A
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A
.
Mo
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mme
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)
29
w
ater
m
ar
k
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g
ai
n
s
t
r
e
m
o
v
al
o
r
d
eg
r
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w
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ld
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v
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[
3
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.
Fig
u
r
e
1
.
B
lo
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m
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f
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io
w
ater
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[
4
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p
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io
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ater
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ased
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B
h
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[
5
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p
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ater
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en
t
h
e
d
ata
is
e
m
b
ed
d
ed
in
to
th
e
d
ig
ita
l
s
a
m
p
le
s
b
ased
o
n
a
p
r
iv
ate
k
e
y
.
T
h
e
p
r
o
p
o
s
ed
w
ater
m
ar
k
in
g
alg
o
r
ith
m
ca
n
ex
tr
ac
t
t
h
e
h
id
d
en
d
ata
w
h
ic
h
is
e
m
b
ed
d
ed
w
it
h
o
u
t
th
e
h
elp
o
f
t
h
e
o
r
ig
in
al
a
u
d
io
s
ig
n
als
.
E
x
p
er
i
m
e
n
tal
r
es
u
lts
s
h
o
w
t
h
a
t th
er
e
is
n
o
d
is
to
r
tio
n
b
et
w
ee
n
th
e
o
r
ig
in
al
a
n
d
w
ater
m
ar
k
e
d
au
d
io
s
ig
n
a
ls
.
A
b
d
u
l
-
Ma
j
ee
d
an
d
Mo
h
a
m
m
e
d
[
6
]
ex
ec
u
ted
t
w
o
m
et
h
o
d
s
(
DC
,
D
C
T
)
,
th
e
ap
p
lied
m
et
h
o
d
s
d
o
n
'
t
r
eq
u
ir
ed
th
e
o
r
ig
i
n
al
s
i
g
n
al
t
o
d
etec
t
th
e
w
ater
m
ar
k
ed
s
i
g
n
al
,
SN
R
a
f
ter
i
m
p
le
m
e
n
tat
io
n
o
f
t
h
e
D
C
an
d
DC
T
m
et
h
o
d
o
n
s
y
m
p
h
o
n
y
a
n
d
s
p
ee
ch
s
i
g
n
a
ls
(
5
5
.
4
2
2
9
d
B
,
2
9
.
2
2
2
6
d
B
)
an
d
(
2
1
.
2
5
0
6
d
B
,
1
9
.
7
1
2
4
d
B
)
r
esp
ec
tiv
el
y
.
I
t
is
co
n
clu
d
ed
t
h
at
t
h
e
D
C
m
e
th
o
d
is
b
etter
a
n
d
h
a
s
a
g
o
o
d
p
er
f
o
r
m
a
n
ce
th
an
t
h
e
DC
T
m
et
h
o
d
f
o
r
e
m
b
ed
d
in
g
th
e
w
ater
m
ar
k
d
ata
o
f
ty
p
e
(
s
p
ee
ch
)
in
b
o
th
t
y
p
es
o
f
s
i
g
n
al
(
S
y
m
p
h
o
n
y
,
Sp
ee
ch
)
.
P
atil
an
d
C
h
i
to
d
e
[
7
]
p
r
o
p
o
s
ed
an
ef
f
ec
tiv
e
w
a
ter
m
ar
k
in
g
a
lg
o
r
it
h
m
b
ased
o
n
Dis
cr
ete
W
av
elet
T
r
an
s
f
o
r
m
f
o
r
a
u
d
io
.
T
h
is
ap
p
r
o
ac
h
em
b
ed
s
th
e
i
m
a
g
e
w
ater
m
ar
k
d
ata
in
to
ap
p
r
o
x
i
m
ate
co
ef
f
icie
n
t
s
o
f
t
h
e
w
av
e
let
tr
an
s
f
o
r
m
.
E
m
b
ed
d
ed
w
ater
m
ar
k
ca
n
b
e
f
aith
f
u
ll
y
r
ec
o
v
er
ed
u
n
d
er
d
if
f
er
en
t
attac
k
s
s
u
ch
as
v
o
lu
m
e
s
ca
lin
g
,
r
esa
m
p
li
n
g
,
lo
w
p
a
s
s
f
ilter
i
n
g
&
r
e
-
q
u
a
n
tizat
io
n
,
etc.
E
x
p
er
i
m
e
n
tal
r
es
u
lt
s
s
h
o
w
t
h
at
t
h
e
e
m
b
ed
d
ed
w
ater
m
ar
k
is
p
er
ce
p
tu
all
y
tr
an
s
p
ar
en
t.
T
h
e
p
r
o
p
o
s
ed
m
eth
o
d
g
i
v
es
i
m
p
r
o
v
ed
Si
g
n
al
to
No
i
s
e
r
atio
(
m
o
r
e
t
h
a
n
2
0
d
B
)
f
o
r
co
m
m
o
n
attac
k
s
wh
ich
s
atis
f
ie
s
I
FP
I
r
eq
u
ir
em
e
n
t &
i
m
p
r
o
v
ed
p
ea
k
s
ig
n
al
to
n
o
is
e
r
atio
.
2.
DWT
–
B
ASE
D
A
UDIO
WA
T
E
RM
ARK
I
N
G
AL
G
O
R
I
T
H
M
Dis
cr
ete
W
av
elet
T
r
an
s
f
o
r
m
is
u
s
ed
i
n
a
w
id
e
r
an
g
e
o
f
d
ig
ita
l
s
i
g
n
al
p
r
o
ce
s
s
i
n
g
a
p
p
licatio
n
s
in
cl
u
d
in
g
m
u
lti
m
ed
ia
(
i
m
a
g
e
\
a
u
d
io
\
v
id
eo
)
co
m
p
r
es
s
io
n
,
c
o
m
m
u
n
icatio
n
a
n
d
s
ec
u
r
it
y
.
T
h
is
tr
an
s
f
o
r
m
ca
n
ef
f
ec
ti
v
e
l
y
r
ep
r
esen
t si
g
n
al
s
e
s
p
ec
iall
y
t
h
o
s
e
h
a
v
e
lo
ca
lized
v
ar
iatio
n
s
[
8
]
.
Fig
u
r
e
(
2
)
s
h
o
w
s
an
i
m
p
le
m
e
n
tatio
n
o
f
a
o
n
e
-
lev
el
f
o
r
w
ar
d
DW
T
b
ased
o
n
a
t
w
o
q
u
ad
r
at
u
r
e
m
ir
r
o
r
f
ilter
b
an
k
,
w
h
er
e
h
o
(
n
)
a
n
d
h
1
(
n
)
ar
e
lo
w
-
p
a
s
s
a
n
d
h
i
g
h
-
p
a
s
s
a
n
al
y
s
is
f
il
ter
s
,
r
esp
ec
t
iv
e
l
y
,
an
d
th
e
b
lo
ck
↓
2
r
ep
r
esen
ts
t
h
e
d
o
w
n
-
s
a
m
p
li
n
g
o
p
er
ato
r
b
y
a
f
ac
to
r
2
.
T
h
u
s
,
f
o
r
1
D
-
DW
T
,
th
e
s
i
g
n
al
is
co
n
v
o
l
v
ed
w
it
h
t
h
ese
t
w
o
f
ilter
s
a
n
d
d
o
w
n
-
s
a
m
p
led
b
y
a
f
ac
to
r
o
f
t
w
o
to
s
ep
ar
ate
it
in
to
an
ap
p
r
o
x
i
m
atio
n
an
d
a
r
ep
r
esen
tatio
n
o
f
th
e
d
etail
s
.
A
p
e
r
f
ec
t
r
ec
o
n
s
tr
u
ctio
n
o
f
th
e
s
i
g
n
al
i
s
p
o
s
s
ib
l
e
b
y
u
p
-
s
a
m
p
li
n
g
(
↑
2
)
t
h
e
ap
p
r
o
x
i
m
atio
n
an
d
th
e
d
etails an
d
co
n
v
o
lv
i
n
g
w
it
h
r
ev
er
s
ed
f
il
ter
s
(
g
o
(
n
)
an
d
g
1
(
n
)
)
.
B
ased
o
n
th
is
alg
o
r
it
h
m
,
t
h
e
o
n
e
-
d
i
m
e
n
s
io
n
al
d
is
cr
ete
wav
elet
co
ef
f
icie
n
ts
o
f
a
n
y
s
ta
g
e
ca
n
b
e
co
m
p
u
ted
f
r
o
m
t
h
e
co
ef
f
icie
n
t
s
o
f
th
e
p
r
ev
io
u
s
s
tag
e
u
s
i
n
g
t
h
e
f
o
llo
w
i
n
g
iter
ativ
e
eq
u
atio
n
s
:
m
n
m
h
j
m
WL
j
n
WL
)
2
(
)
1
,
(
)
,
(
0
(
1
)
m
n
m
h
j
m
WL
j
n
WH
)
2
(
)
1
,
(
)
,
(
1
(
2
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
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-
I
C
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Vo
l.
5
,
No
.
1
,
A
p
r
il
20
1
6
:
2
8
–
3
5
30
W
h
er
e
)
,
(
j
n
WL
is
th
e
n
t
h
s
ca
li
n
g
co
ef
f
icie
n
t
at
th
e
j
th
s
ta
g
e,
)
,
(
j
n
WH
is
th
e
n
t
h
w
a
v
elet
co
ef
f
icie
n
t
at
th
e
j
th
s
ta
g
e,
an
d
h
0
(
n
)
,
h
1
(
n
)
ar
e
h
e
d
ilatio
n
co
ef
f
icie
n
t
s
co
r
r
esp
o
n
d
in
g
to
th
e
s
ca
lin
g
an
d
w
a
v
elet
f
u
n
ctio
n
s
,
r
esp
ec
ti
v
el
y
.
T
h
e
in
v
er
s
e
tr
a
n
s
f
o
r
m
i
s
as
f
o
llo
w
:
(
3
)
F
ig
u
r
e
2
.
On
e
-
le
v
el
f
o
r
w
ar
d
DW
T
an
d
its
in
v
er
s
e
I
DW
T
2
.
1
.
Wa
t
er
m
a
r
k
i
ng
E
m
b
eddi
ng
P
ro
ce
s
s
I
n
t
h
is
s
ta
g
e
t
h
e
co
v
er
a
u
d
io
an
d
a
w
ater
m
ar
k
(
te
x
t,
i
m
a
g
e
,
an
d
a
u
d
io
)
f
ile
s
ar
e
lo
ad
ed
,
th
e
n
t
h
e
au
d
io
s
eq
u
en
ce
is
p
ar
titi
o
n
ed
to
s
eg
m
e
n
ts
.
T
h
e
s
eg
m
en
ted
au
d
io
s
ig
n
al
is
p
r
es
en
ted
in
f
r
e
q
u
en
c
y
d
o
m
ai
n
b
y
th
e
lo
w
a
n
d
h
i
g
h
f
r
eq
u
e
n
c
y
c
o
ef
f
icie
n
t
s
ac
co
r
d
in
g
to
t
h
e
w
a
v
elet
b
a
n
d
s
.
I
n
Fi
g
u
r
e
(
3
)
th
e
f
lo
w
c
h
ar
t
o
f
th
e
e
m
b
ed
d
in
g
p
r
o
ce
s
s
o
f
t
h
e
p
r
o
p
o
s
ed
m
et
h
o
d
is
s
h
o
w
n
.
Fig
u
r
e
3
.
DW
T
au
d
io
w
ater
m
ar
k
in
g
e
m
b
ed
d
in
g
p
r
o
ce
s
s
2
.
2
.
Wa
t
er
m
a
r
k
ing
E
x
t
ra
ct
io
n P
ro
ce
s
s
Fig
u
r
e
4
p
r
esen
ts
t
h
e
f
lo
w
c
h
ar
t o
f
th
e
e
x
tr
ac
tio
n
p
r
o
ce
s
s
o
f
t
h
e
p
r
o
p
o
s
ed
m
eth
o
d
.
k
l
l
n
g
j
l
WH
k
n
g
j
k
WL
j
n
WL
)
2
(
)
1
,
(
)
2
(
)
1
,
(
)
,
(
1
0
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
I
C
T
I
SS
N:
2252
-
8776
A
u
d
io
W
a
terma
r
kin
g
B
a
s
ed
o
n
Hyb
r
id
Lo
w
…
(
A
r
ee
A
.
Mo
h
a
mme
d
)
31
3.
SI
M
UL
AT
I
O
N
R
E
S
UL
T
S
I
n
t
h
is
r
esear
ch
,
d
if
f
er
en
t
t
y
p
es
o
f
a
u
d
io
s
ig
n
al
(
class
ic
an
d
p
o
p
)
ar
e
u
s
ed
a
s
a
co
v
e
r
m
ed
ia
to
in
v
e
s
ti
g
ate
a
n
d
ev
al
u
ate
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
ed
au
d
io
w
ater
m
ar
k
i
n
g
alg
o
r
it
h
m
.
A
w
a
v
f
i
le
o
f
1
0
s
ec
o
n
d
s
i
n
le
n
g
t
h
i
s
u
s
ed
f
o
r
ea
ch
t
y
p
e.
T
h
e
s
a
m
p
le
r
ate
f
o
r
b
o
th
is
4
4
.
1
KHz
an
d
q
u
an
t
ized
to
1
6
b
its
p
er
s
a
m
p
le.
A
7
5
*
7
8
g
r
a
y
s
ca
le
i
m
a
g
e
o
f
L
e
n
a
is
u
s
ed
as
a
w
ater
m
ar
k
f
o
r
e
m
b
ed
d
in
g
i
n
th
e
lo
w
an
d
h
i
g
h
f
r
eq
u
en
c
ies
o
f
a
w
a
v
elet
b
a
n
d
s
.
T
h
e
p
r
o
p
o
s
ed
m
et
h
o
d
is
t
ested
f
o
r
a
te
x
t
a
n
d
au
d
io
f
ile
f
o
r
th
e
p
u
r
p
o
s
e
o
f
co
m
p
ar
is
o
n
.
T
o
ass
ess
t
h
e
r
o
b
u
s
t
n
es
s
,
t
h
e
NC
o
f
t
h
e
o
r
ig
i
n
al
a
n
d
e
x
tr
ac
ted
w
ater
m
ar
k
d
ata
is
u
s
ed
ac
co
r
d
in
g
to
E
q
s
.
4
,
SNR
(
Sig
n
a
l
to
No
is
e
R
atio
)
is
s
elec
ted
to
ev
alu
a
te
th
e
i
m
p
er
ce
p
tib
ilit
y
o
f
th
e
p
r
o
p
o
s
ed
s
ch
e
m
e
s
ac
co
r
d
in
g
to
E
q
.
5
,
t
h
e
s
u
b
j
ec
tiv
e
e
v
al
u
atio
n
i
s
al
s
o
co
n
s
id
er
ed
to
en
s
u
r
e
t
h
e
in
a
u
d
ib
ilit
y
u
s
i
n
g
MO
S
(
Me
a
n
Op
in
io
n
Sco
r
e)
g
r
ad
in
g
.
(
4)
W
h
er
e
N
is
th
e
n
u
m
b
er
o
f
p
ix
els
i
n
w
ater
m
ar
k
,
w
an
d
w
ˆ
ar
e
th
e
o
r
ig
i
n
al
a
n
d
ex
tr
ac
ted
w
ater
m
ar
k
s
r
esp
ec
tiv
el
y
.
SN
R
(
dB
)
=10
l
og
10
(
5)
W
h
er
e
A
co
r
r
e
s
p
o
n
d
s
to
th
e
o
r
ig
in
a
l si
g
n
al,
a
n
d
A'
co
r
r
esp
o
n
d
s
to
th
e
w
ater
m
ar
k
ed
s
i
g
n
al.
3
.
1
.
I
m
perc
e
ptibility
T
e
s
t
I
n
au
d
ib
ilit
y
is
r
elate
d
to
th
e
p
er
ce
p
tu
al
q
u
alit
y
o
f
t
h
e
e
m
b
ed
d
ed
w
ater
m
ar
k
d
ata
w
it
h
i
n
th
e
o
r
ig
i
n
al
(
co
v
er
)
au
d
io
s
ig
n
al.
I
t
m
a
k
es
s
u
r
e
t
h
at
t
h
e
q
u
alit
y
o
f
th
e
a
u
d
io
is
n
o
t p
er
ce
iv
ab
l
y
d
is
to
r
ted
an
d
th
e
w
ater
m
ar
k
is
i
m
p
er
ce
p
tib
le
to
th
e
li
s
te
n
er
.
E
q
u
atio
n
(
5
)
is
u
s
ed
as
a
n
o
b
j
ec
tiv
e
m
ea
s
u
r
e,
an
d
a
lis
te
n
i
n
g
te
s
t
(
MO
S)
as
a
s
u
b
j
ec
tiv
e
m
ea
s
u
r
e
as s
h
o
w
n
i
n
T
ab
le
1
.
T
a
b
le
1
.
MO
S g
r
ad
in
g
s
cal
e
T
ab
le
2
.
p
r
esen
ts
t
h
e
MO
S
an
d
SN
R
v
a
lu
e
s
b
et
w
ee
n
th
e
o
r
ig
in
al
a
n
d
t
h
e
w
ater
m
ar
k
e
d
au
d
io
f
ile
s
(
class
ic
an
d
p
o
p
)
w
h
e
n
th
e
ca
p
ac
it
y
o
f
th
e
te
x
t
f
ile
is
(
2
5
6
b
y
te
s
)
,
b
in
ar
y
i
m
a
g
e
w
a
ter
m
a
r
k
is
(
732
b
its
)
an
d
th
e
au
d
io
f
ile
is
(
2
5
6
b
y
tes)
.
T
ab
le
2
.
I
m
p
er
ce
p
tib
ilit
y
v
al
u
es
M
O
S
G
r
a
d
e
D
e
scri
p
t
i
o
n
5
–
Ex
c
e
l
l
e
n
t
4
–
G
o
o
d
3
-
F
a
i
r
2
–
P
o
o
r
1
-
B
a
d
I
mp
e
r
c
e
p
t
i
b
l
e
P
e
r
c
e
p
t
i
b
l
e
,
b
u
t
n
o
t
a
n
n
o
y
i
n
g
S
l
i
g
h
t
l
y
a
n
n
o
y
i
n
g
A
n
n
o
y
i
n
g
V
e
r
y
a
n
n
o
y
i
n
g
A
u
d
i
o
t
y
p
e
S
N
R
(
d
B
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M
O
S
C
l
a
ssi
c
P
o
p
T
e
x
t
i
mag
e
a
u
d
i
o
t
e
x
t
i
mag
e
a
u
d
i
o
2
5
.
2
2
4
.
7
3
1
.
2
3
3
.
7
2
3
.
1
2
1
.
9
3
.
1
4
.
0
1
4
.
7
5
2
.
9
4
.
3
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Fig
u
r
e
4
.
DW
T
au
d
io
w
ater
m
ar
k
in
g
E
x
tr
ac
t
io
n
p
r
o
ce
s
s
Fig
u
r
es
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d
(
6
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r
ep
r
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t
t
h
e
w
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v
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m
o
f
t
h
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s
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ic
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n
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p
o
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d
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e
f
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r
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d
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ter
e
m
b
ed
d
in
g
t
h
e
w
ater
m
ar
k
i
m
a
g
e.
F
ig
u
r
e
5
.
C
lass
ic
m
u
s
i
c
Fig
u
r
e
6
.
P
o
p
m
u
s
ic
3
.
2
.
Ro
bu
s
t
nes
s
T
e
s
t
T
h
e
p
er
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
ed
s
ch
e
m
e
a
g
ain
s
t
s
ig
n
al
p
r
o
ce
s
s
in
g
s
u
c
h
as
ec
h
o
,
am
p
li
f
icatio
n
,
s
m
o
o
th
in
g
f
ilter
an
d
cr
o
p
p
in
g
a
m
o
n
g
m
a
n
y
o
t
h
er
s
is
te
s
ted
.
A
lt
h
o
u
g
h
th
e
s
e
t
y
p
es
o
f
attac
k
m
a
y
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t
c
h
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th
e
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e
y
m
a
y
d
is
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r
t
t
h
e
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ater
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ar
k
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m
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ad
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th
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o
s
t
s
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g
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al.
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ttac
k
s
h
av
e
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ee
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m
e
au
d
io
s
o
f
t
w
ar
e
to
o
ls
s
u
c
h
as (
A
u
d
ac
it
y
an
d
Go
ld
W
av
e)
.
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IJ
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C
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A
u
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n
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r
ee
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.
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h
a
mme
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33
Fig
u
r
es
(
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,
8
)
s
h
o
w
t
h
e
e
x
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ted
w
ater
m
ar
k
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ter
ap
p
l
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h
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k
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o
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ass
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n
d
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o
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m
u
s
ical
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i
g
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als
r
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tiv
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h
e
ef
f
ec
t
o
f
t
h
e
attac
k
s
i
s
s
i
g
n
i
f
ica
n
tl
y
v
ar
ied
f
r
o
m
o
n
e
t
y
p
e
to
a
n
o
th
er
.
T
h
e
s
i
m
ilar
it
y
b
et
w
ee
n
t
h
e
o
r
ig
in
a
l
an
d
th
e
ex
tr
ac
ted
w
ater
m
ar
k
i
s
also
ca
lcu
lated
u
s
i
n
g
eq
u
atio
n
(
4
)
.
F
ig
u
r
e
7
.
NC
v
al
u
es
f
o
r
ex
tr
ac
ted
w
ater
m
ar
k
a
f
ter
attac
k
s
(
clas
s
ic
au
d
io
s
i
g
n
al)
F
ig
u
r
e
8
.
NC
v
al
u
es
f
o
r
ex
tr
ac
ted
w
ater
m
ar
k
a
f
ter
attac
k
s
(
p
o
p
au
d
io
s
ig
n
a
l)
I
n
Fig
u
r
e
9
a
s
a
m
p
le
o
f
a
u
d
io
f
ile
as a
w
ater
m
ar
k
o
f
s
ize
(
2
5
6
B
y
tes)
a
n
d
th
e
ex
tr
ac
ted
b
ef
o
r
e
an
d
af
ter
an
attac
k
i
s
r
ep
r
esen
ted
.
O
rig
ina
l w
a
t
er
m
a
r
k
E
x
t
ra
ct
ed
w
a
t
er
m
a
r
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NC=0
.
9664
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x
t
ra
ct
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w
a
t
er
m
a
r
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a
f
t
er
a
t
t
a
ck
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=
0
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9
4
7
7
F
ig
u
r
e
8
.
NC
v
al
u
es
f
o
r
ex
tr
ac
ted
w
ater
m
ar
k
b
ef
o
r
e
an
d
af
te
r
attac
k
s
3
.
3
.
Resul
t
s
Co
m
pa
r
is
o
n
A
cc
o
r
d
in
g
to
t
h
e
p
r
o
p
o
s
ed
au
d
io
w
ater
m
ar
k
i
n
g
al
g
o
r
ith
m
s
i
n
t
h
e
ti
m
e
a
n
d
f
r
eq
u
en
c
y
d
o
m
ain
,
t
h
is
w
o
r
k
r
esear
ch
g
i
v
es
b
etter
r
esu
lts
w
h
e
n
th
e
w
ater
m
ar
k
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e
m
b
ed
d
ed
in
h
i
g
h
an
d
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w
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icie
n
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Su
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e
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n
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o
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tiv
e
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atio
n
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ar
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eter
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o
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u
d
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ilit
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d
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r
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b
u
s
t
n
e
s
s
f
o
r
b
o
th
w
ater
m
ar
k
e
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
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2
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r
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8
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34
au
d
io
an
d
th
e
w
ater
m
ar
k
it
s
e
lf
o
u
tp
er
f
o
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t
h
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lt
s
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t
h
e
r
ec
en
t
r
elate
d
w
o
r
k
s
.
I
n
tab
le
3
th
e
MO
S a
n
d
SN
R
r
esu
lts
ar
e
p
r
esen
ted
co
m
p
ar
ed
w
i
th
s
o
m
e
r
e
lated
tech
n
iq
u
es.
T
ab
le
3
.
P
er
f
o
r
m
a
n
ce
co
m
p
ar
i
s
o
n
w
it
h
o
th
er
tech
n
iq
u
es
3.
CO
NCLU
SI
O
NS
Fe
w
s
t
u
d
ies
ar
e
a
v
ailab
le
o
n
d
ig
ital
au
d
io
w
ater
m
ar
k
in
g
co
m
p
ar
in
g
to
t
h
e
i
m
a
g
e
an
d
v
id
eo
w
ater
m
ar
k
i
n
g
.
Ho
w
ev
er
,
d
u
r
i
n
g
t
h
e
las
t
d
ec
ad
e
au
d
io
w
ater
m
ar
k
i
n
g
s
t
u
d
ies
h
av
e
al
s
o
in
cr
ea
s
ed
co
n
s
id
er
ab
l
y
esp
ec
iall
y
i
n
f
r
eq
u
e
n
c
y
d
o
m
ain
.
T
h
e
p
r
o
p
o
s
ed
tech
n
iq
u
e
is
d
ev
elo
p
ed
to
s
o
lv
e
th
e
co
p
y
r
i
g
h
t
p
r
o
tectio
n
p
r
o
b
lem
o
f
d
i
g
ital
a
u
d
io
p
r
o
d
u
cts.
I
n
th
is
r
esear
c
h
,
an
e
f
f
ec
t
iv
e
a
u
d
io
w
ater
m
ar
k
in
g
s
c
h
e
m
e
b
ased
o
n
t
h
e
lo
w
an
d
h
i
g
h
w
a
v
elet
f
r
eq
u
en
c
ies
is
p
r
o
p
o
s
ed
.
T
est
r
esu
lts
s
h
o
w
th
a
t
th
e
w
ater
m
ar
k
b
its
a
r
e
em
b
ed
d
ed
in
an
i
m
p
er
ce
p
tib
le
an
d
a
r
o
b
u
s
t
wa
y
.
T
h
e
MO
S
v
a
lu
e
f
o
r
a
p
o
p
m
u
s
ic
h
as
a
g
r
ad
e
5
an
d
th
e
SNR
v
al
u
e
is
3
3
.
7
w
h
e
n
th
e
w
ater
m
ar
k
t
y
p
e
i
s
a
b
in
ar
y
i
m
a
g
e
o
f
s
ize
(
7
3
2
b
its
)
.
Fo
r
o
th
er
t
y
p
es
o
f
w
ater
m
ar
k
,
th
e
r
o
b
u
s
t
n
e
s
s
an
d
th
e
i
m
p
er
ce
p
tib
ilit
y
ar
e
d
ec
r
ea
s
ed
as p
r
esen
ted
in
T
ab
le
2
.
ACK
NO
WL
E
D
G
E
M
E
NT
S
W
e
w
o
u
ld
lik
e
to
th
a
n
k
th
e
I
E
C
2
0
1
4
co
n
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er
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ce
h
eld
in
E
r
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il
city
to
p
u
b
lis
h
t
h
e
m
a
n
i
u
s
cr
ip
t
o
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th
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ten
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ed
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er
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io
n
o
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t
h
e
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r
ch
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o
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k
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t
h
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ld
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o
Mis
s
De
m
a
n
M
u
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taf
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o
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m
y
M.
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s
tu
d
e
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t to
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n
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u
te
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s
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[3
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Bh
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35
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Evaluation Warning : The document was created with Spire.PDF for Python.