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I
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In
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11
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d
m
ul
t
i
-
r
es
o
l
u
t
i
o
n
w
av
el
et
f
o
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s
p
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w
i
t
h
v
a
r
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ab
l
e d
u
r
at
i
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c
om
pr
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s
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on
.
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s
hy
br
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w
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n
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f
or
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s
(
d
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s
cr
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s
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t
r
an
s
f
o
r
m
-
D
C
T
a
nd
W
a
ls
h
)
.
A
lo
u
i
e
t a
l.
[
9]
,
s
ug
g
e
s
t
a
s
pe
e
c
h s
i
gn
a
l
c
o
m
pr
e
s
s
i
on a
l
g
or
i
t
hm
ba
s
e
d on t
h
e
di
s
c
r
e
t
e
H
a
r
t
l
e
y
t
r
an
s
f
o
r
m
at
i
o
n
t
o
en
s
u
r
e a l
o
w
b
i
t
r
at
e an
d
ach
i
ev
e h
i
g
h
s
p
ea
k
i
n
g
co
m
p
r
es
s
i
o
n
e
f
f
i
ci
e
n
c
y
.
C
ur
r
e
n
t
l
y
,
t
he
s
t
ud
i
e
s
c
o
nc
e
nt
r
a
t
e
o
n t
he
m
i
xi
ng b
e
t
w
e
e
n c
o
m
p
r
e
s
s
i
o
n a
nd
e
nc
r
y
p
t
i
o
n.
F
o
r
e
xa
m
p
l
e
Al
-
A
za
w
i
a
n
d
G
aze [
1
0
]
,
ex
p
l
ai
n
t
h
e
m
et
h
o
d
f
o
r
s
p
eech
s
i
g
n
al
e
n
cr
y
p
t
i
o
n
an
d
co
m
p
r
e
s
s
i
o
n
i
n
a
s
i
n
g
l
e
-
st
e
p
.
C
o
m
p
r
e
s
s
i
ve
s
e
ns
i
n
g t
he
o
r
y
e
ns
ur
e
s
t
ha
t
c
o
m
p
r
e
s
s
i
o
n a
nd
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nc
r
y
p
t
i
o
n o
c
c
ur
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n a
s
i
n
gl
e
-
s
t
e
p
; in
a
d
d
itio
n
,
th
e
co
n
t
o
u
r
l
et
t
r
an
s
f
o
r
m
at
i
o
n
i
s
a
p
p
l
i
ed
t
o
en
s
u
r
e t
h
e b
as
i
c p
r
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n
ci
p
l
e o
f
co
m
p
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s
i
v
e
s
en
s
i
n
g
an
d
i
s
u
s
ed
as
t
h
e
b
as
e en
cr
y
p
t
i
o
n
.
H
a
m
eed
e
t a
l.
[
11]
,
p
r
op
os
e
a
l
i
gh
t
w
e
i
gh
t
s
y
s
t
e
m
m
ode
l
t
o pr
oc
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s
E
C
G
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f
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t
l
y
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d
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el
y
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us
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g b
uf
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r
b
l
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c
ks
a
nd
e
nc
r
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p
t
i
o
n o
f
s
i
g
na
l
us
i
n
g t
he
A
E
S
-
C
B
C
a
l
g
or
i
t
hm
w
i
t
h
256
-
b
i
t
ke
y
s
i
ze en
cr
y
p
t
i
o
n
.
T
hi
s
p
a
p
e
r
e
xp
l
a
i
ns
a
ne
w
m
e
t
ho
d
f
o
r
s
p
e
e
c
h s
i
gna
l
c
o
m
p
r
e
s
s
i
o
n a
nd
e
nc
r
y
p
t
i
o
n t
o
e
ns
ur
e
t
he
hi
g
h
q
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a
lit
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n
d
r
e
lia
b
ilit
y
o
f
t
h
e
r
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c
o
n
s
tr
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c
te
d
s
i
g
n
a
l
.
S
e
c
t
i
o
n
2 i
n
t
r
odu
c
e
s
pr
opos
e
d a
l
g
or
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t
hm
s
.
T
h
e
pr
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e
d
s
y
s
te
m
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d
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u
s
s
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d
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e
c
tio
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3
w
h
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s
e
c
tio
n
4
p
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e
n
t
s
t
h
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x
p
e
r
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m
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n
ta
l r
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s
u
lt
s
a
n
d
d
is
c
u
s
s
io
n
r
e
la
te
d
to
t
h
e
pe
r
f
or
m
a
n
c
e
m
e
a
s
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r
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m
e
n
t
s
us
e
d t
o a
s
s
e
s
s
t
h
e
pr
opos
e
d s
y
s
t
e
m
.
C
on
c
l
us
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ons
a
r
e
s
um
m
a
r
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z
e
d
in
s
e
c
tio
n
5
.
2.
P
R
OP
OS
E
D
M
E
T
HOD
2
.1
.
Q
u
an
t
i
z
at
i
on
Q
u
a
n
t
i
zat
i
o
n
i
s
an
es
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e
n
t
i
al
p
h
as
e i
n
d
at
a co
m
p
r
es
s
i
o
n
,
h
el
p
i
n
g
t
o
m
ak
e ap
p
r
o
x
i
m
at
e
m
ap
p
i
n
g
o
f
t
h
e
t
r
a
ns
f
o
r
m
c
o
e
f
f
i
c
i
e
nt
va
l
ue
s
t
o
l
i
m
i
t
t
he
l
e
ngt
h
o
f
b
i
na
r
y
r
e
p
r
e
s
e
nt
a
t
i
o
n
o
f
i
nt
e
ge
r
va
l
ue
s
[
9
,
12
]
.
U
n
i
fo
r
m
q
u
an
t
i
zat
i
o
n
i
s
ap
p
l
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t
h
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s
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t
h
e s
p
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h
s
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g
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al
s
.
T
h
e v
al
u
e o
f
t
h
e s
t
ep
s
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s
cal
cu
la
te
d
i
n
(1
)
:
(1
)
W
h
er
e:
=
T
h
e s
t
ep
s
i
ze,
=
M
a
xi
m
u
m
va
l
ue
,
=
M
i
ni
m
u
m
va
l
ue
,
L
=
T
he
nu
m
b
e
r
o
f
q
ua
nt
i
z
a
t
i
o
n l
e
ve
l
s
.
2
.2
.
D
i
s
cret
e co
s
i
n
e t
ra
n
s
f
o
r
m
(
D
C
T
)
D
u
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o
t
h
e
h
i
g
h
co
r
r
el
at
i
o
n
w
i
t
h
i
n
t
h
e ad
j
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t
co
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f
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ci
en
t
,
t
h
e D
C
T
can
b
e u
s
ed
f
o
r
s
p
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co
m
p
r
es
s
i
o
n
.
T
h
i
s
p
r
o
p
er
t
y
h
el
p
s
i
n
e
f
f
i
ci
e
n
t
d
at
a r
ed
u
ct
i
o
n
.
T
h
e d
i
s
cr
et
e co
s
i
n
e t
r
an
s
f
o
r
m
co
n
ce
n
t
r
at
es
t
h
e
c
on
t
e
n
t
of
t
h
e
i
nf
or
m
a
t
io
n
in
t
o
r
e
la
tiv
e
l
y
f
e
w
c
o
e
f
f
ic
ie
n
t
s
o
f
tr
a
n
s
f
o
r
m
a
tio
n
b
e
c
a
u
s
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it id
e
n
ti
f
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s
i
n
f
o
r
m
a
tio
n
p
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t
h
at
ca
n
b
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f
f
ect
i
v
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y
d
i
s
p
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s
ed
o
f
w
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h
o
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t
s
er
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o
u
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l
y
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u
ci
n
g
t
h
e q
u
al
i
t
y
o
f
t
h
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i
g
n
al
[
1
3
]
.
T
h
e
D
C
T
o
f 1
-
D
s
eq
u
e
n
ce X
i
s
cal
cu
l
at
e
d
b
y
[
3
]
:
(2
)
(3
)
(4
)
w
h
er
e
N=
L
e
ngt
h
X=
D
i
s
cr
et
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s
i
n
e t
r
a
n
s
f
o
r
m
=
I
n
v
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s
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i
s
cr
et
e co
s
i
n
e t
r
an
s
f
o
r
m
(
I
D
C
T
)
Evaluation Warning : The document was created with Spire.PDF for Python.
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5051
2
.3
.
F
r
a
c
ti
o
n
a
l
f
o
u
r
i
e
r
tr
a
n
s
fo
r
m
(F
r
F
T
)
F
r
F
T
i
s
a g
en
er
al
i
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F
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u
r
i
er
t
r
an
s
f
o
r
m
,
an
d
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s
al
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k
n
o
w
n
as
an
g
u
l
ar
F
o
u
r
i
er
t
r
an
s
f
o
r
m
[
1
4
]
.
F
r
F
T
is
a
lin
e
a
r
o
p
er
at
o
r
w
i
t
h
a
n
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l
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(
α
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an
d
s
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g
n
al
(
f
(
t
)
)
acco
r
d
i
ng t
o
(5
)
[1
5
]:
(5
)
(6
)
(7
)
w
h
er
e
δ
(
t)
=
R
e
p
r
e
s
e
n
t
s
t
h
e
d
i
r
a
c
f
u
n
c
t
i
o
n
, α
:
r
e
p
r
e
s
e
n
t
s
t
h
e
a
n
g
l
e
o
f
r
o
t
a
t
i
o
n
(
α
=
α
π
/
2
)
,
ƒˊ
(t
)
=
T
h
e i
n
v
er
s
e f
r
act
i
o
n
al
f
o
u
r
i
e
r
t
r
an
s
f
o
r
m
.
2
.4
.
Q
u
ad
r
at
i
c
m
ap
T
h
e q
u
ad
r
at
i
c m
ap
i
s
a b
as
i
c ex
a
m
p
l
e o
f
a Q
u
ad
r
at
i
c C
h
ao
t
i
c,
o
n
e
-
d
i
m
e
n
s
i
o
na
l
,
a
nd
no
nl
i
ne
a
r
.
T
he
qu
a
dr
a
t
i
c
m
a
p e
qu
a
t
i
on
c
a
n
be
de
f
i
n
e
d a
s
[
16,
17]
,
(8
)
w
h
er
e t
h
e i
n
i
t
i
al
co
n
d
i
t
i
o
n
s
s
p
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f
y
t
h
at
r
i
s
t
h
e c
h
ao
t
i
c b
eh
a
v
i
o
u
r
p
ar
a
m
e
t
er
an
d
n
i
s
t
h
e
num
b
e
r
o
f
ite
r
a
tio
n
s
.
c
=
1.
95 a
n
d x
0
=
0.
1 [
18
]
.
2
.5
.
Sudo
k
u p
uz
z
l
e
s
S
ud
o
k
u p
uz
z
l
e
s
a
r
e
ge
ne
r
a
t
e
d
b
y
r
e
m
o
vi
n
g s
o
m
e
e
l
e
m
e
nt
s
f
r
o
m
t
he
s
ud
o
ku
m
a
t
r
i
x b
ut
k
e
e
p
i
ng s
o
m
e
hi
n
t
s
f
o
r
a
uni
q
ue
s
o
l
ut
i
o
n [
1
9
]
.
T
he
c
e
nt
r
a
l
i
d
e
a
o
f
t
he
S
u
d
o
ku s
o
l
ut
i
o
n i
s
t
o
c
ha
n
ge
t
he
p
i
xe
l
p
ai
r
s
s
el
ect
ed
i
n t
he
c
o
ve
r
s
i
g
na
l
us
i
n
g a
n i
n
d
e
x
m
a
t
r
i
x [
2
0
]
.
2
.6
.
Sho
r
t
-
t
er
m
en
erg
y
(
e
n
)
T
h
e v
o
i
ce an
d
t
h
e s
i
l
e
n
ce ar
e s
ep
ar
at
ed
b
y
t
h
e t
h
r
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h
o
l
d
s
o
f
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n
(i
).
T
h
e
e
n
(i
) f
o
rm
u
l
a
e
i
s
a
s
[2
1
]:
(9
)
2
.7
.
F
u
zzy
C
-
me
a
n
s
T
he
c
l
us
t
e
r
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ng t
e
c
h
ni
q
ue
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s
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o
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t
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m
o
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t
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m
p
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r
t
a
nt
t
e
c
hni
q
ue
s
us
e
d
i
n d
a
t
a
m
i
ni
n
g.
C
l
u
s
t
e
r
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n
g
a
l
go
r
i
t
h
m
s
a
r
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s
e
f
ul
i
n
d
e
a
l
i
ng
w
i
t
h
s
i
g
na
l
s
i
m
i
l
i
t
ud
e
a
nd
u
nc
e
r
t
a
i
nt
y.
F
uz
z
y
C
-
m
ea
n
s
(
F
C
M)
i
s
a
f
u
zz
y
t
he
o
r
y
-
b
a
s
e
d
a
l
g
o
r
ith
m
t
h
a
t e
n
a
b
le
s
t
h
e
e
le
m
e
n
t
to
b
e
lo
n
g
to
m
u
ltip
le
c
la
s
s
e
s
w
it
h
v
a
r
y
i
ng m
e
m
be
r
s
h
i
ps
.
D
e
ta
ils
o
f
f
u
z
z
y
C
-
m
e
a
n
s
a
l
g
o
r
i
t
hm
c
a
n
be
f
oun
d i
n
[
22]
.
2
.8
.
T
h
reef
i
s
h
a
l
g
o
ri
t
h
m
T
h
r
eef
i
s
h
i
s
a t
w
ea
k
ab
l
e
b
l
o
c
k
ci
p
h
er
(
i
.
e.
t
h
r
ee
p
ar
a
m
et
er
s
ar
e
r
eq
u
i
r
ed
as
t
h
e
k
e
y
i
n
p
u
t
,
a
t
w
eak
v
al
u
e,
an
d
a
m
es
s
ag
e
b
l
o
ck
)
.
T
h
r
ee t
y
p
es
o
f
k
e
y
s
i
n
p
u
t
t
e
d a
s
256,
512,
a
n
d 1024 bi
t
s
,
a
r
e
u
s
e
d b
y
t
h
e
t
hr
e
e
f
i
s
h a
l
go
r
i
t
h
m
,
a
nd
t
he
i
r
b
l
o
c
k s
i
z
e
i
s
t
he
s
a
m
e
a
s
t
he
ke
y s
i
z
e
.
T
hr
e
e
f
i
s
h
'
s
d
e
s
i
g
n p
hi
l
o
s
o
p
h
y i
s
t
ha
t
a
g
r
eat
er
n
u
m
b
er
o
f
s
i
m
p
l
e r
o
u
n
d
s
i
s
s
af
er
t
h
a
n
f
e
w
er
co
m
p
l
ex
r
o
u
n
d
s
[
2
3
]
.
T
h
r
eef
i
s
h
co
m
p
r
i
s
es
t
h
r
ee
o
p
e
r
a
tio
n
s
: r
o
ta
tio
n
o
f
b
its
to
th
e
le
f
t,
b
it
w
i
s
e
e
x
c
l
u
s
i
v
e
O
R
(
⊕
)
,
a
n
d m
odu
l
o 264
a
ddi
t
i
on
(
)
.
D
e
ta
ils
o
f
t
h
e
t
h
r
e
e
f
i
s
h
a
l
g
or
i
t
hm
c
a
n
be
f
oun
d i
n
[
24]
.
3.
P
R
OP
OS
E
D
A
L
G
OR
I
T
HM
S
I
n
t
h
i
s
s
t
u
d
y
,
t
h
e co
m
p
r
es
s
e
d
s
p
eech
f
i
l
e
w
a
s
e
n
cr
y
p
t
ed
af
t
er
s
cr
a
m
b
l
i
n
g
i
t
,
a
n
d t
hu
s
t
h
i
s
w
or
k
c
on
s
i
s
t
s
o
f
,
c
o
m
pr
e
s
s
i
o
n
,
s
c
r
a
m
b
l
i
ng
,
a
n
d e
n
c
r
y
p
t
i
on
a
l
g
or
i
t
hm
s
,
i
n
a
ddi
t
i
on
t
o t
w
o
s
e
c
onda
r
y
a
l
g
or
i
t
hm
s
f
or
ge
ne
r
a
t
i
n
g t
he
t
hr
e
e
ke
ys
.
T
h
e
pr
op
os
e
d
a
lg
o
r
ith
m
i
s
s
ho
w
n
i
n F
i
g
ur
e
1
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN
:
20
88
-
8708
In
t
J
E
l
e
c
&
C
o
m
p
E
n
g
,
V
o
l.
11
, N
o
.
6
,
D
ecem
b
er
2
0
2
1
:
5
049
-
50
59
5052
F
i
g
ur
e
1
.
T
h
e g
en
er
al
s
t
r
u
ct
u
r
e o
f
p
r
o
p
o
s
ed
a
lg
o
r
ith
m
3
.1
.
T
he
hy
br
i
d s
pe
e
c
h c
o
mpr
e
s
s
i
o
n a
l
g
o
r
i
t
h
m
T
h
e
f
ol
l
o
w
i
n
g
s
t
e
ps
e
x
pl
a
i
n
t
he
hy
br
i
d s
pe
e
c
h
c
o
m
pr
e
s
s
i
on
a
l
g
or
i
t
hm
:
a.
R
ead
t
h
e s
p
eech
f
i
l
e.
b.
D
i
v
i
d
e t
h
e
s
p
eech
f
i
l
e i
n
t
o
b
l
o
ck
s
,
an
d
eac
h
b
l
o
ck
h
as
a
s
i
ze
o
f
5
1
2
v
al
u
es
.
c.
F
or
e
a
c
h
bl
oc
k
,
do t
h
e
f
ol
l
o
w
i
n
g
:
1.
Ca
l
c
u
la
te
th
e
1
-
D
o
f D
C
T
.
2.
S
o
r
t
t
he
r
e
s
ul
t
i
n
g
va
l
ue
s
i
n d
e
s
c
e
nd
i
ng o
r
d
e
r
.
3.
R
e
m
o
v
e s
m
al
l
v
al
u
e
s
u
s
i
n
g
t
h
e t
h
r
es
h
o
l
d
p
ar
a
m
et
er
.
4.
R
eco
n
s
t
r
u
ct
t
h
e b
l
o
ck
b
as
ed
o
n
1
D
1
-
D o
f
I
DC
T
.
5.
U
s
e
t
he
F
r
F
T
t
r
a
ns
f
o
r
m
a
t
i
o
n
f
o
r
e
a
c
h b
l
o
c
k t
o
ge
t
t
w
o
va
l
ue
s
(
m
a
gni
t
ud
e
a
nd
p
ha
s
e
)
fr
o
m
it.
6.
C
al
cu
l
at
e t
h
e a
v
er
ag
e (
av
r
g
)
m
ag
n
i
t
u
d
e f
o
r
each
b
l
o
ck
u
s
i
n
g
t
h
e f
o
l
l
o
w
i
n
g
r
el
at
i
o
n
s
h
i
p
:
av
r
g
=
m
ea
n
(
|
m
a
gn
i
t
u
de
|
2)
.
7.
F
o
r
a
ll th
e
c
a
lc
u
la
te
d
m
a
g
n
it
u
d
e
v
a
lu
e
s
,
te
s
t th
e
m
w
i
th
t
h
e
v
a
lu
e
o
f
a
v
r
g
a
s
f
o
llo
w
s
:
8.
I
f
t
he
va
l
ue
o
f
m
a
g
ni
t
ud
e
i
s
gr
e
a
t
e
r
t
ha
n t
he
va
l
ue
o
f
a
vr
g,
ke
e
p
t
he
va
l
ue
w
i
t
h t
he
s
a
m
e
va
l
ue
o
f
m
ag
n
i
t
u
d
e i
n
t
h
e s
a
m
e l
o
cat
i
o
n
(
N
e
w
M
ag
n
i
t
u
d
e =
m
a
g
n
i
t
u
d
e)
.
9.
E
l
s
e i
f
t
h
e co
n
d
i
t
i
o
n
i
s
n
o
t
m
e
t
,
r
ep
l
ace t
h
e
v
al
u
e o
f
m
a
g
n
i
t
u
d
e
w
i
t
h
t
h
e
v
al
u
e zer
o
(
N
e
w
M
ag
n
i
t
u
d
e =
0
).
10.
G
en
er
at
e
t
h
e
s
p
eech
s
i
g
n
al
b
as
ed
o
n
t
h
e
m
a
g
ni
t
ud
e
va
l
ue
a
f
t
e
r
a
d
j
us
t
m
e
nt
i
n
a
d
d
i
t
i
o
n t
o
t
he
p
ha
s
e
v
a
lu
e
,
a
s
f
o
llo
w
s
:
a1
=N
e
w
M
a
g
n
i
t
u
d
e.
*
C
O
S
(
p
h
as
e)
;
a
2
=
N
e
w
M
a
gni
t
ud
e
.
*S
I
N
(
p
h
as
e)
;
N
=co
m
p
l
ex
(
a1
,
a2
)
;
N
e
w
S
p
eech
S
i
g
n
al
=I
f
r
F
T
(N
).
d.
A
s
s
e
m
bl
e
t
h
e
m
odi
f
i
e
d bl
oc
k
s
i
n
a
on
e
-
d
i
m
e
n
s
i
o
n
al
v
ect
o
r
t
h
at
r
ep
r
es
en
t
s
t
h
e co
m
p
r
es
s
ed
s
p
eech
f
i
l
e.
e.
U
s
e q
u
an
t
i
ze f
o
r
a r
ed
u
ced
b
i
t
r
at
e an
d
i
n
cr
eas
ed
t
h
e co
m
p
ac
t
n
es
s
o
f
t
h
e d
at
a.
f.
S
av
e t
h
e co
m
p
r
es
s
ed
s
p
eech
.
3
.2
.
T
h
e s
cra
m
b
l
i
n
g
a
l
g
o
ri
t
h
m
T
h
is
is
d
iv
id
e
d
in
to
t
w
o
p
a
r
ts
:
Evaluation Warning : The document was created with Spire.PDF for Python.
In
t
J
E
l
e
c
&
C
o
m
p
E
n
g
I
S
S
N
:
2088
-
8708
Spe
e
c
h s
i
gn
al
c
om
pr
e
s
s
i
on an
d e
nc
r
y
pt
i
on
bas
e
d o
n s
udok
u,
f
uz
z
y
C
-
m
e
ans
…
(
I
m
an Q
ay
s
A
bdul
j
al
e
e
l
)
5053
3.
2.
1.
E
x
t
e
r
na
l
s
c
r
a
m
bl
i
ng
(
t
o
c
ha
ng
e
t
he
bl
o
c
k
s
s
e
que
n
c
e
s
)
T
h
e ex
t
er
n
al
s
cr
a
m
b
l
i
n
g
p
r
o
ced
u
r
e i
s
ex
p
l
ai
n
ed
i
n
t
h
e f
o
l
l
o
w
i
n
g
s
t
ep
s
:
a.
R
ead
t
h
e co
m
p
r
es
s
ed
s
p
eec
h
f
i
l
e.
b.
D
i
v
i
d
e t
h
e
s
p
eech
s
i
g
n
al
i
n
t
o
b
l
o
ck
s
,
each
s
e
g
m
en
t
o
f
8
1
v
al
u
e an
d
k
eep
t
h
e t
o
t
al
n
u
m
b
er
o
f
b
l
o
ck
s
,
c.
D
i
v
i
de
t
h
e
t
ot
a
l
num
be
r
o
f
bl
oc
k
s
i
n
t
o
t
h
r
e
e
eq
u
al
p
ar
t
s
,
an
d
ad
d
i
n
g
t
h
e
f
r
act
i
o
n
al
s
u
r
p
l
u
s
s
p
eci
f
i
cal
l
y
t
o
t
he
e
nd
o
f
t
he
t
hi
r
d
p
a
r
t
.
d.
R
ead
t
h
e b
l
o
ck
v
a
l
u
e i
n
d
i
cat
o
r
f
r
o
m
each
p
ar
t
u
n
t
i
l
t
h
e en
d
o
f
t
h
e t
h
r
ee p
ar
t
s
as
f
o
l
l
o
w
s
:
1.
R
e
a
d
t
he
i
nd
e
x o
f
t
he
b
l
o
c
k f
r
o
m
t
he
e
nd
o
f
t
he
t
hi
r
d
s
e
g
m
e
nt
a
nd
s
a
ve
i
t
i
n
t
he
ne
w
ve
c
t
o
r
.
2.
R
e
a
d
t
he
i
nd
e
x o
f
t
he
b
l
o
c
k f
r
o
m
t
he
b
e
gi
n
ni
ng o
f
t
he
f
i
r
s
t
p
a
r
t
a
nd
s
a
ve
i
t
i
n t
he
ne
w
ve
c
t
o
r
.
3.
R
ead
t
h
e i
n
d
ex
o
f
t
h
e b
l
o
ck
f
r
o
m
t
h
e b
eg
i
n
n
i
n
g
o
f
t
h
e s
eco
n
d
p
ar
t
an
d
s
av
e i
t
i
n
t
h
e n
e
w
v
ect
o
r
.
4.
A
f
t
er
t
h
e e
n
d
o
f
t
h
e
f
i
r
s
t
an
d
s
eco
n
d
p
ar
t
s
,
a
nd
i
n
t
he
e
ve
nt
o
f
a
s
ur
p
l
u
s
i
n
t
he
t
hi
r
d
p
a
r
t
,
a
d
d
t
he
r
e
m
a
i
ni
ng
un
a
ddr
e
s
s
e
d t
o t
h
e
e
n
d of
t
h
e
n
e
w
v
e
c
t
or
.
e.
U
s
e t
h
e
n
e
w
v
ect
o
r
f
o
r
t
h
e l
o
cat
i
o
n
s
o
f
t
h
e b
l
o
ck
s
a
f
t
er
r
ep
l
aci
n
g
t
h
e
m
t
o
ch
a
n
g
e t
h
e
l
o
cat
i
o
n
s
o
f
t
h
ei
r
c
o
nt
e
nt
s
i
n t
he
o
r
i
gi
na
l
s
p
e
e
c
h
s
i
g
na
l
a
nd
g
e
t th
e
f
ir
s
t
s
ta
g
e
o
f
th
e
s
c
r
a
m
b
li
n
g
.
3.
2.
2.
A
n i
nt
e
r
na
l
s
c
r
a
m
bl
i
n
g
(
t
o
c
ha
ng
e
t
he
s
e
que
nc
e
o
f
da
t
a
w
i
t
hi
n bl
o
c
k
s
)
T
h
e
in
te
r
n
a
l s
c
r
a
m
b
lin
g
p
r
o
c
e
d
u
r
e
is
e
x
p
la
i
n
e
d
in
t
h
e
f
o
llo
w
in
g
s
te
p
s
:
a.
G
en
er
at
e a
k
e
y
s
eq
u
e
n
ce o
f
ei
g
h
t
n
o
n
-
r
ep
eat
i
n
g
k
e
y
s
f
o
r
each
b
l
o
ck
o
f
t
he
s
p
e
e
c
h s
i
gna
l
,
us
i
n
g
t
he
r
a
nd
o
m
-
q
u
a
d
r
a
tic
a
lg
o
r
ith
m
.
b.
F
o
r
each
s
u
cce
s
s
i
v
e t
w
o
b
l
o
ck
s
o
f
t
h
e
s
p
eech
s
i
g
n
al
,
d
o
t
h
e f
o
l
l
o
w
i
n
g
:
1.
G
en
er
at
e a S
u
d
o
k
u
p
u
zzl
e o
f
s
i
ze 9
× 9
e
qu
a
l
t
o t
h
e
num
be
r
of
v
a
l
u
e
s
o
f
each
b
l
o
ck
(
i
.
e.
8
1
v
al
u
es
)
us
i
n
g e
i
g
ht
no
n
-
r
ep
eat
i
n
g r
a
nd
o
m
-
q
ua
d
r
a
t
i
c
ke
ys
.
2.
C
o
n
v
er
t
t
h
e r
es
ul
t
i
n
g ve
c
t
o
r
f
r
o
m
e
a
c
h b
l
o
c
k
i
n
to
a
9
×
9
m
a
tr
ix
.
3.
U
s
e
t
he
va
l
ue
s
i
n t
he
S
ud
o
k
u
p
u
zzl
e t
o
ch
an
g
e t
h
e
v
al
u
e
s
i
n
each
r
o
w
acco
r
d
i
n
g
t
o
t
h
e n
e
w
l
o
cat
i
o
n
s
in
it.
4.
U
s
e
t
he
va
l
ue
s
i
n t
he
S
ud
o
k
u p
uz
z
l
e
t
o
c
ha
nge
t
he
va
l
u
e
s
i
n
each
co
l
u
m
n
acco
r
d
i
n
g
t
o
t
h
e n
e
w
lo
c
a
tio
n
s
i
n
it.
5.
S
w
a
p t
h
e
odd
r
ow
s
be
t
w
e
e
n t
h
e
t
w
o
m
a
t
r
i
c
e
s
of
t
h
e
t
w
o c
on
s
e
c
u
t
i
v
e
bl
oc
k
s
(
i
.
e
.
t
h
e
r
ow
s
t
o be
s
w
ap
p
ed
ar
e 1
,
3
,
5
,
7
,
an
d
9
)
t
o
cr
eat
e m
o
r
e co
m
p
l
ex
i
t
y
b
y
m
i
x
i
n
g
i
n
t
er
n
a
l
l
y
b
et
w
ee
n
v
al
u
es
.
c.
I
f
t
he
r
e
i
s
a
n e
x
ce
s
s
b
l
o
ck
,
r
ep
eat
s
t
ep
s
(
a
–
d
)
f
o
r
t
h
e ex
ces
s
b
l
o
ck
.
d.
C
o
n
v
er
t
t
h
e
m
at
r
i
ces
r
es
u
l
t
i
n
g
f
r
o
m
each
b
l
o
ck
t
o
a o
n
e
-
d
i
m
en
s
i
o
n
al
v
ect
o
r
.
e.
C
o
m
b
i
ne
t
he
r
e
s
ul
t
a
nt
o
ne
-
d
i
m
en
s
i
o
n
a
l
v
ect
o
r
s
o
f
al
l
t
h
e
b
l
o
ck
s
t
o
g
et
t
h
e
n
e
w
s
p
eech
s
i
g
n
al
af
t
er
t
h
e
in
te
r
n
a
l s
c
r
a
m
b
li
n
g
.
3
.3
.
E
n
c
r
yp
t
i
on
al
gor
i
t
h
m
3
.3
.1
.
K
e
ys
of
t
h
e
e
n
c
r
yp
t
i
on
al
gor
i
t
h
m
T
h
r
ee k
ey
s
w
er
e u
s
ed
i
n
t
h
e en
cr
y
p
t
i
o
n
al
g
o
r
i
t
h
m
a
s
f
o
l
l
o
w
s
:
a.
R
a
nd
o
m
-
q
u
ad
r
at
i
c al
g
o
r
i
t
h
m
(
t
o
g
en
er
at
e k
e
y
s
u
s
ed
i
n
t
h
e t
h
r
eef
i
s
h
al
g
o
r
i
t
h
m
)
T
h
e k
e
y
T
g
en
er
at
i
o
n
p
r
o
ces
s
i
s
d
es
cr
i
b
ed
i
n
t
h
e s
te
p
s
b
e
lo
w
:
1.
F
o
r
each
s
p
eech
b
l
o
ck
,
g
e
n
er
a
t
e ei
g
h
t
o
f
k
e
y
s
b
as
ed
o
n
q
u
ad
r
at
i
c
m
ap
eq
u
at
i
o
n
s
.
2.
T
es
t
t
h
e g
en
er
at
ed
v
al
u
e
s
as
t
h
e
y
s
h
o
u
l
d
b
e p
o
s
i
t
i
v
e,
n
o
n
-
r
ep
eat
i
n
g
an
d
b
et
w
een
1
-
9.
3.
U
s
e t
h
e
v
al
u
es
t
h
at
m
ee
t
t
h
e a
b
o
v
e t
es
t
t
o
cr
eat
e t
h
e ei
g
h
t
k
e
y
s
.
4.
R
ep
eat
s
t
ep
s
1
-
3
t
o
ge
ne
r
a
t
e
e
i
gh
t
ne
w
ke
ys
(
K
e
y
T
)
u
nt
i
l
b
l
o
c
ks
o
f
ke
ys
a
r
e
ge
ne
r
a
t
e
d
e
q
ua
l
t
o
t
he
s
pe
c
i
f
i
e
d num
be
r
of
s
pe
e
c
h
bl
oc
k
s
.
b.
T
he
e
ne
r
g
y
o
n
f
uz
z
y
C
-
m
e
a
ns
a
l
go
r
i
t
h
m
(
t
o
ge
ne
r
a
t
e
t
he
t
hi
r
d
ke
y
)
T
h
e k
e
y
3
g
e
n
er
at
i
o
n
p
r
o
ces
s
i
s
d
es
cr
i
b
ed
i
n
t
h
e s
t
ep
s
b
el
o
w
:
1.
D
iv
id
e
t
he
o
r
i
gi
na
l
s
i
gn i
nt
o
b
l
o
c
ks
,
w
i
t
h e
a
c
h b
l
o
c
k c
o
n
t
a
i
n
i
ng 2
5
6
va
l
ue
s
.
2.
C
al
cu
l
at
e t
h
e
s
h
o
r
t
t
i
m
e en
er
g
y
v
al
u
e
f
o
r
each
b
l
o
ck
.
3.
F
i
nd
t
he
1
6
b
l
o
c
ks
w
i
t
h t
he
hi
g
he
s
t
va
l
ue
s
o
f
s
ho
r
t
-
t
i
m
e en
er
g
y
a
n
d
co
n
v
er
t
each
b
l
o
ck
i
n
t
o
a
16×
16 bi
n
a
r
y
m
a
t
r
i
x
.
4.
U
s
e t
h
e
f
u
zz
y
c
-
m
ean
s
al
g
o
r
i
t
h
m
o
n
b
i
n
ar
y
ar
r
a
y
s
t
o
g
et
a 1
6
-
b
it b
in
a
r
y
k
e
y
.
5.
R
ep
eat
s
t
ep
s
2
-
4 on
16 bl
oc
k
s
t
o
g
e
t
256 v
a
l
u
e
s
r
e
pr
e
s
e
n
t
i
n
g
32 s
ym
bol
s
,
w
h
i
c
h
i
s
t
h
e
t
hi
r
d k
e
y
(k
e
y
3
).
3.
3.
2.
E
n
c
r
yp
t
i
on
al
gor
i
t
h
m
T
he
f
o
l
l
o
w
i
ng
s
t
e
p
s
e
xp
l
a
i
n t
h
e
e
nc
r
y
p
t
i
o
n a
l
go
r
i
t
h
m
:
a.
I
np
ut
t
h
e t
w
o
k
e
y
s
(
k
e
y
1
an
d
k
e
y
2
)
w
i
t
h
a s
i
ze o
f
3
2
ch
ar
act
er
s
.
b.
G
e
ne
r
a
t
e
a
t
hi
r
d
ke
y (
ke
y3
)
us
i
ng t
he
e
ne
r
g
y o
n f
uz
z
y C
-
me
a
n
s
a
l
g
o
r
i
t
h
m.
c.
U
s
e
t
he
X
O
R
f
u
nc
t
i
o
n b
e
t
w
e
e
n t
he
f
i
r
s
t
ke
y
a
nd
t
he
t
hi
r
d
ke
y t
o
ge
t
t
i
n
g a
ne
w
ke
y
xo
r
e
d
k
e
y
1
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN
:
20
88
-
8708
In
t
J
E
l
e
c
&
C
o
m
p
E
n
g
,
V
o
l.
11
, N
o
.
6
,
D
ecem
b
er
2
0
2
1
:
5
049
-
50
59
5054
d.
S
et
t
h
e
v
al
u
e o
f
a t
w
eak
v
al
u
e
w
i
t
h
t
h
e s
i
ze o
f
1
6
ch
ar
act
er
s
.
e.
S
et
t
h
e co
n
s
t
a
n
t
v
al
u
e C
2
4
0
b
y
8
ch
ar
act
er
s
(
i
.
e.
6
4
b
i
t
s
)
.
f.
D
i
v
i
d
e t
h
e
s
p
eech
s
i
g
n
al
i
n
t
o
s
ev
er
al
b
l
o
ck
s
(
i
.
e.
1
6
v
al
u
es
f
o
r
each
b
l
o
ck
)
.
g.
U
s
e
t
he
r
a
nd
o
m
-
q
u
ad
r
at
i
c al
g
o
r
i
t
h
m
t
o
g
e
n
er
at
e a s
er
i
es
o
f
k
e
y
s
(
K
e
y
T
)
eq
u
al
t
o
t
h
e n
u
m
b
er
o
f
b
l
o
ck
s
at
th
is
s
ta
g
e
.
h.
F
o
r
each
b
l
o
ck
,
t
es
t
v
al
u
e
f
r
o
m
t
h
e
g
e
n
er
at
ed
k
e
y
c
h
ai
n
as
f
o
l
l
o
w
s
:
1.
I
f
t
he
ke
y va
l
ue
i
n t
he
ke
yc
ha
i
n (
K
e
y
T
)
i
s
d
i
vi
s
i
b
l
e
b
y
2
(
i
.
e
.
t
he
ke
y
va
l
ue
i
s
e
ve
n)
t
he
n
e
nc
o
d
e
t
he
b
l
o
c
k va
l
ue
s
b
a
s
e
d
o
n t
he
t
hr
e
e
f
i
s
h a
l
go
r
i
t
h
m
a
nd
xo
r
e
d
ke
y
1
a
s
t
he
p
r
i
m
a
r
y
ke
y.
2.
I
f
t
he
ke
y
va
l
ue
i
n t
he
ke
yc
h
a
i
n (
K
e
y
T
)
i
s
no
t
d
i
vi
s
i
b
l
e
b
y 2
(
i
.
e
.
t
he
ke
y
va
l
ue
i
s
o
d
d
)
,
e
nc
o
d
e
t
he
b
l
o
c
k va
l
ue
s
b
a
s
e
d
o
n t
he
t
hr
e
e
f
i
s
h a
l
go
r
i
t
h
m
a
nd
ke
y
2
a
s
t
h
e
p
r
i
m
a
r
y
ke
y.
i.
R
ep
eat
s
t
ep
8
u
n
t
i
l
al
l
o
f
t
h
e s
p
eech
s
i
g
n
al
b
l
o
ck
s
ar
e f
i
n
i
s
h
e
d
.
j.
M
er
g
e t
h
e b
l
o
ck
s
i
n
t
o
o
n
e a
u
d
i
o
v
ect
o
r
an
d
s
av
e i
t
t
o
a
w
av
s
p
eech
f
i
l
e.
4.
RE
S
U
L
T
S
AND D
I
S
CU
S
S
I
O
N
T
h
i
s
wo
r
k
w
a
s
c
on
d
u
c
t
e
d
u
s
i
n
g t
h
e
R
2018b M
A
T
L
A
B
pr
og
r
a
m
m
e
.
E
qui
p
m
e
n
t
i
n
c
l
u
de
d a
C
or
e
i
7
P
C
w
i
t
h
I
n
t
el
P
r
o
ces
s
o
r
,
2
.
6
0
G
H
z
C
P
U
,
an
d
6
.
0
0
G
B
R
A
M.
T
h
e
t
es
t
ed
s
p
eech
f
i
l
e
w
a
s
l
o
ad
ed
f
r
o
m
t
h
e
"
N
O
I
Z
E
U
S
"
da
t
a
ba
s
e
p
r
odu
c
e
d by
m
a
l
e an
d
f
e
m
al
e s
p
ea
k
e
r
s
.
T
w
o
d
i
f
f
er
en
t
"
1
6
KH
Z
"
f
r
eq
u
en
c
y
m
es
s
a
g
es
w
er
e
u
s
ed
f
r
o
m
t
h
e
d
at
ab
as
e,
o
n
e
o
f
w
h
i
ch
i
n
cl
u
d
ed
o
n
l
y
v
o
w
el
s
(
v
o
i
ced
)
s
p
eech
,
an
d
t
h
e
o
t
h
er
i
n
cl
u
d
ed
v
o
i
ced
an
d
v
o
i
cel
es
s
co
n
t
i
n
u
o
u
s
s
p
eech
.
T
h
e s
t
at
i
s
t
i
cal
m
eas
u
r
es
u
s
ed
t
o
as
s
e
s
s
t
h
e
p
er
f
o
r
m
a
n
ce o
f
t
h
e
s
ys
t
e
m
i
n t
he
e
nc
r
y
p
t
i
o
n a
nd
d
e
c
r
y
p
t
i
o
n
p
r
o
c
e
s
se
s i
n
c
l
u
d
e
d
(
S
N
R,
S
N
Rse
g
,
f
w
S
N
R
se
g
,
CC,
L
L
R)
[
2
5
]
,
[
26
]
,
[
2
7
]
,
t
h
e s
t
at
i
s
t
i
cal
m
ea
s
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2
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,
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9
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10
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,
[
28]
:
a.
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Evaluation Warning : The document was created with Spire.PDF for Python.
In
t
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m
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2 f
or
t
h
e
r
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s
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l
t
s
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h
e
pr
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d e
n
c
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t
h
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s
t
a
bl
e
,
t
h
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v
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l
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s
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s
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g,
a
n
d
f
w
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g
)
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l
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l
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w
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s
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s
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al
l
,
w
h
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h
e
(
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L
R
)
va
l
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s
hi
gh,
t
h
us
s
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w
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n
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a
b
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g d
i
f
f
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nc
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t
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d
s
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l
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a
nd
l
o
w
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id
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h
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te
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t t
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n
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t
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h
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s
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gh
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I
n T
a
b
le
3
,
t
he
va
l
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f
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S
N
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e
g)
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o
b
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g
h
w
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a
s
t
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va
l
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o
f
(
f
w
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d
L
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w
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A
s
f
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,
t
h
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y
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t
o
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i
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cat
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l
.
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d s
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h
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s
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s
m
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t
h
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s
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g
h.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN
:
20
88
-
8708
In
t
J
E
l
e
c
&
C
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m
p
E
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,
V
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l.
11
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6
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59
5056
F
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2.
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I
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:
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In
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5058
5.
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e
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n a
ddi
t
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o t
r
a
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m
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on s
pe
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a
s
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s
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h
er
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ag
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o
n p
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pe
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e
nt
t
e
c
hni
q
ue
s
.
R
EF
ER
EN
C
ES
[
1]
X
.
W
a
ng
a
nd Y
.
S
u
,
“
A
n A
udi
o
E
nc
r
y
pt
i
on A
l
g
or
i
t
hm
B
a
s
e
d on
D
N
A
C
odi
ng
a
n
d
C
h
a
o
tic
S
y
s
te
m
,
”
I
E
E
E
A
c
c
e
s
s
,
v
ol
.
8,
p
p.
92
60
–
9
27
0,
20
20,
d
oi
:
10.
11
09/
A
C
C
E
S
S
.
20
19.
29
63
32
9.
[
2]
O
. A
. I
m
r
a
n
, S
. F
. Y
o
u
s
i
f
, I
. S
.
H
a
m
e
e
d
,
W
. N
.
A
l
-
D
i
n
A
be
d,
a
nd A
.
T
.
H
a
m
m
i
d,
“
I
m
pl
e
m
e
nt
a
t
i
on of
E
l
-
G
a
m
al
a
l
g
or
i
t
hm
f
or
s
pe
e
c
h s
i
g
na
l
s
e
n
c
r
y
pt
i
on a
n
d
de
c
r
y
p
tio
n
,
”
P
r
oc
e
di
a C
om
pu
t
.
Sc
i
.
,
v
ol
.
1
67,
n
o.
I
c
c
i
ds
20
19
,
pp.
10
28
–
1
03
7,
20
20
,
d
oi
:
1
0.
1
01
6/
j
.
pr
oc
s
.
2
02
0.
03.
40
2.
[
3]
S
.
S
.
M
.
V
.
P
a
t
i
l
,
A
.
G
upt
a
,
a
nd A
.
V
a
r
m
a
,
“
A
udi
o a
nd S
pe
e
c
h C
om
pr
e
s
s
i
on U
s
i
ng
D
C
T
a
nd D
W
T
T
e
c
hni
que
s
,
”
I
n
t
. J
. I
n
n
o
v
. R
e
s
.
S
c
i
. E
n
g
. T
e
c
h
n
o
l.
,
v
o
l
.
2,
no.
5,
p
p.
17
12
–
1
71
9,
201
3.
[
4]
A
.
T
s
e
g
a
y
e
a
nd
G
.
T
a
r
i
k
u,
“
A
udi
o C
om
pr
e
s
s
i
on U
s
i
ng
D
W
T
a
nd
R
L
E
T
e
c
hni
que
s
,
”
A
m
. J
. E
l
e
c
t
r
. E
l
e
c
t
r
o
n
. E
n
g
.
,
v
ol
.
7,
n
o.
1,
pp.
1
4
–
17,
2
01
9,
doi
:
10
.
1
26
91/
a
j
e
e
e
-
7
-
1
-
3.
[
5]
R
.
V
i
g
a
n
d S
.
S
.
C
ha
uha
n
,
“
S
pe
e
c
h C
om
pr
e
s
s
i
on us
i
ng
M
ul
t
i
-
R
e
s
ol
ut
i
on H
y
br
i
d W
a
v
e
l
e
t
us
i
ng
D
C
T
a
nd W
a
l
s
h
T
r
an
s
f
o
r
m
s
,
”
P
r
oc
e
di
a C
om
put
.
S
c
i
.
,
v
ol
.
13
2,
pp.
1
40
4
–
14
11,
2
01
8,
d
oi
:
1
0.
1
01
6/
j
.
pr
oc
s
.
20
18.
05
.
0
70.
[
6]
B
.
K
i
m
a
nd Z
.
R
a
f
i
i
,
“
L
os
s
y
a
udi
o c
om
pr
e
s
s
i
on i
de
nt
i
f
i
c
a
t
i
on,
”
E
ur
.
Si
gn
al
P
r
oc
e
s
s
.
C
onf
.,
vo
l
.
20
18
,
2
01
8,
pp.
24
59
–
2
46
3,
do
i
:
10.
23
91
9/
E
U
S
I
P
C
O
.
20
18
.
8
55
36
11.
[
7]
S
.
B
ous
s
e
l
m
i
,
N
.
A
l
oui
,
a
nd A
.
C
he
r
i
f
,
“
D
S
P
R
e
a
l
-
T
i
m
e
I
m
pl
e
m
e
nt
a
t
i
on
of
a
n
A
udi
o C
om
pr
e
s
s
i
on A
l
g
or
i
t
hm
b
y
u
s
i
n
g
t
h
e F
as
t
H
ar
t
l
ey
T
r
an
s
f
o
r
m
,
”
I
n
t
. J
. A
d
v
. C
o
m
p
u
t
.
S
c
i
. A
p
p
l
.,
v
o
l.
8
,
no.
4,
2
01
7,
doi
:
1
0.
1
45
69/
i
j
a
c
s
a
.
201
7.
08
04
62
.
[
8]
T
.
A
. H
a
s
s
a
n
, R
. H
. A
l
-
H
a
s
he
m
y
,
a
nd R
.
I
.
A
j
e
l
,
“
S
pe
e
c
h S
i
g
na
l
C
om
pr
e
s
s
i
on A
l
g
or
i
t
hm
B
a
s
e
d on t
he
J
P
E
G
T
ech
n
i
q
u
e,
”
J
.
I
n
te
ll.
S
y
s
t.
,
v
ol
.
2
9,
n
o.
1,
pp
.
5
54
–
5
64
,
2
02
0,
do
i
:
10.
15
15/
j
i
s
y
s
-
2018
-
01
27
.
[
9]
N
.
A
l
oui
,
S
.
B
o
us
s
e
l
m
i
,
a
nd
A
.
C
he
r
i
f
,
“
N
e
w
a
l
g
or
i
t
hm
f
or
s
pe
e
c
h c
om
pr
e
s
s
i
on ba
s
e
d
on
di
s
c
r
e
t
e
ha
r
t
l
e
y
t
r
an
s
f
o
r
m
,
”
I
nt
.
A
r
a
b J
.
I
nf
.
T
e
c
h
nol
.
,
v
ol
.
1
6,
no.
1,
p
p.
15
6
–
16
2,
201
9.
[
1
0]
M
. K
. M
. A
l
-
A
za
w
i
an
d
A
.
M
.
G
a
ze,
“C
o
m
b
i
n
ed
s
p
eech
co
m
p
r
es
s
i
o
n
an
d
en
cr
y
p
t
i
on us
i
ng
c
ha
ot
i
c
c
om
pr
e
s
s
i
ve
s
en
s
i
n
g
w
i
t
h
l
ar
g
e
k
e
y
s
i
ze,
”
I
E
T
Si
g
nal
P
r
oc
e
s
s
.
,
vo
l
.
1
2,
no
.
2,
pp
.
21
4
–
2
18
,
2
018,
doi
:
1
0.
1
04
9/
i
e
t
-
s
pr
.
2
01
6.
0
70
8.
[
1
1]
M
.
E
.
H
a
m
e
e
d,
M
.
M
.
I
br
a
hi
m
,
a
nd N
.
A
.
M
a
na
p,
“
C
om
pr
e
s
s
i
o
n a
nd e
nc
r
y
pt
i
on f
or
E
C
G
bi
om
e
di
c
a
l
s
i
g
na
l
i
n
h
eal
t
h
car
e s
y
s
t
e
m
,
”
T
e
l
k
om
ni
k
a T
e
l
e
c
om
m
uni
c
at
i
on C
om
p
ut
.
E
l
e
c
t
r
on.
C
o
nt
r
ol
.
,
v
ol
.
1
7,
no.
6,
pp.
28
26
–
28
33
,
201
9,
do
i
:
10.
12
92
8/
T
E
L
K
O
M
N
I
K
A
.
v
17i
6.
13
24
0.
[
1
2]
P
.
K
.
R
.
M
an
o
h
ar
,
M
.
P
r
at
y
u
s
h
a,
R
.
S
at
h
ees
h
,
S
.
G
eet
an
j
al
i
,
an
d
N
.
R
aj
as
ek
h
ar
,
“A
u
d
i
o
C
o
m
p
r
es
s
i
o
n
Usi
n
g
D
au
b
ech
i
e W
av
el
et
,
”
I
O
SR
J
.
E
l
e
c
t
r
on.
C
om
m
un.
E
n
g.
V
e
r
.
I
I
I
,
vol
.
1
0,
n
o
.
2
,
pp
.
227
8
–
2
83
4,
2
01
5,
doi
:
1
0.
9
79
0/
2
83
4
-
10
23
41
44
.
[
1
3]
Z
.
T
.
D
r
w
e
e
s
h a
nd
L
.
E
.
G
e
or
ge
,
“
A
udi
o C
om
pr
e
s
s
i
on B
a
s
e
d on D
i
s
c
r
e
t
e
C
os
i
ne
T
r
a
ns
f
or
m
,
R
un L
e
ng
t
h a
nd H
i
g
h
O
rd
e
r S
h
i
f
t
E
nc
odi
ng
,
”
I
nt
e
r
na
t
i
ona
l
J
our
n
al
of
E
n
gi
ne
e
r
i
n
g an
d I
nn
ov
at
i
v
e
T
e
c
hnol
ogy
(
I
J
E
I
T
)
, v
o
l
. 4
, n
o
. 1
,
pp.
45
–
51
,
2
01
4.
[
1
4]
K
.
P
r
am
i
l
a R
.
a
nd
G
.
S
hi
t
a
l
S
.
,
“
A
S
ur
v
e
y
P
a
pe
r
o
n D
i
f
f
e
r
e
nt
S
pe
e
c
h C
om
pr
e
s
s
i
on T
e
c
hni
que
s
,
”
IJ
A
R
IIE
,
vo
l
.
2,
no.
5,
pp
.
7
36
–
74
1,
20
1
6.
[
1
5]
B
.
T
.
K
r
i
s
hna
,
“
F
r
a
c
t
i
ona
l
F
our
i
e
r
t
r
a
ns
f
or
m
:
A
s
ur
ve
y
,
”
A
C
M I
nt
.
C
o
nf
.
P
r
oc
e
e
di
ng
Se
r
.
,
2
01
2,
pp.
75
1
–
7
57,
doi
:
1
0.
1
14
5/
2
34
53
96
.
2
34
55
19.
[
1
6]
C
.
R
.
R
ev
an
n
a an
d
C
.
K
es
h
av
am
u
r
t
h
y
,
“A
n
e
w
s
el
e
ct
i
v
e d
o
cu
m
en
t
i
m
a
g
e en
cr
y
p
t
i
o
n
u
s
i
n
g
G
M
M
-
E
M
a
n
d m
i
xe
d
ch
ao
t
i
c s
y
s
t
e
m
,
”
I
n
t
. J
. A
p
p
l
. E
n
g
. R
e
s
.,
v
ol
.
1
2,
no.
1
9,
pp.
8
85
4
–
88
6
5,
20
17
.
[
1
7]
C
.
R
.
R
e
va
nna
a
nd C
.
K
e
s
ha
va
m
ur
t
h
y
,
“
A
nov
e
l
pr
i
or
i
t
y
ba
s
e
d doc
um
e
nt
i
m
a
g
e
e
nc
r
y
pt
i
on w
i
t
h m
i
x
e
d c
ha
ot
i
c
s
y
s
t
e
m
s
u
s
i
n
g
m
ach
i
n
e l
ear
n
i
n
g
ap
p
r
o
ach
,
”
F
ac
t
a U
ni
v
.
-
S
er
.
E
l
ec
t
r
o
n.
E
ne
r
g.
,
vol
.
32
,
no
.
1
,
pp
.
14
7
–
17
7,
20
19,
doi
:
1
0.
2
29
8/
f
ue
e
190
11
47r
.
[
1
8]
N
. R
a
m
a
d
a
n
, H
. E
. H
. A
h
m
e
d
, S
. E
. E
l
k
h
a
m
y
,
a
n
d
F
. E
. A
. E
l
-
s
a
m
i
e,
“C
h
ao
s
-
B
a
s
e
d
I
m
a
ge
E
n
c
r
yp
t
i
on
U
s
i
n
g a
n
I
m
pr
ov
e
d Q
ua
dr
a
t
i
c
C
ha
ot
i
c
M
a
p,
”
A
m
. J
. S
i
g
n
a
l
P
r
o
c
e
s
s
.,
v
ol
.
6,
no.
1,
p
p
. 1
–
13
,
2
01
6,
doi
:
1
0.
5
92
3/
j
.
a
j
s
p.
2
01
60
60
1.
01.
[
1
9]
Y
.
W
u,
Y
.
Z
hou
,
J
.
P
.
N
o
ona
n
,
K
.
P
a
ne
t
t
a
,
a
nd S
.
A
g
a
i
a
n,
“
I
m
a
g
e
e
nc
r
y
pt
i
on us
i
ng
t
he
S
ud
ok
u m
a
t
r
i
x
,
”
M
ob.
M
ul
t
i
m
e
di
a/
I
m
age
P
r
oc
e
s
s
.
Se
c
ur
.
A
p
pl
.
,
v
ol
.
77
08,
A
r
t
.
N
o.
77
08
0
P
,
2
01
0,
doi
:
1
0.
11
17/
12.
85
31
97
.
[
2
0]
S
.
I
j
e
r
i
,
S
.
P
uj
e
r
i
,
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