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11
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3
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2630
2622
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o
l
u
s
ed
w
h
ic
h
lead
s
to
w
r
o
n
g
esti
m
at
io
n
o
f
T
F
co
ef
f
icie
n
t
s
an
d
h
e
n
ce
r
ed
u
ci
n
g
clar
it
y
o
f
s
ep
ar
ated
s
p
ee
ch
.
Ma
n
y
r
esear
c
h
es
h
as
b
ee
n
ca
r
r
ied
o
u
t
in
d
esig
n
i
n
g
h
i
g
h
r
es
o
lu
tio
n
T
F
tech
n
iq
u
e
s
,
at
th
e
s
a
m
e
ti
m
e
r
etain
th
e
ir
in
v
er
tib
le
ab
ilit
y
t
o
r
ec
o
v
er
o
r
ig
in
al
ti
m
e
s
er
ies
s
ig
n
al.
Us
u
all
y
ST
FT
,
Vig
n
er
-
Ville
d
i
s
tr
ib
u
tio
n
,
W
av
elet
ar
e
u
s
ed
to
co
n
v
er
t s
p
ee
ch
to
T
F d
o
m
ai
n
.
Ho
w
ev
er
th
e
T
F r
eso
lu
tio
n
s
o
f
th
e
s
e
tr
an
s
f
o
r
m
s
ar
e
p
o
o
r
.
ST
FT
co
n
v
er
ts
a
o
n
e
d
i
m
e
n
s
i
o
n
al
ti
m
e
s
er
ies
s
ig
n
al
i
n
to
t
w
o
-
d
i
m
e
n
s
io
n
al
T
FR
w
h
er
e
w
e
ca
n
s
ee
b
o
th
th
e
ti
m
e
a
n
d
f
r
eq
u
e
n
c
y
o
f
t
h
e
s
i
g
n
al.
Ho
w
e
v
er
b
an
d
li
m
ited
w
in
d
o
w
f
u
n
ct
io
n
i
s
u
s
ed
in
ST
FT
w
h
ic
h
ca
u
s
e
s
en
er
g
y
b
l
u
r
r
ed
s
p
ec
tr
o
g
r
a
m
.
Var
io
u
s
p
o
s
t
p
r
o
ce
s
s
in
g
tec
h
n
iq
u
es
o
n
ST
FT
h
a
v
e
b
e
e
n
p
r
o
p
o
s
e
d
t
o
i
m
p
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v
e
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r
e
s
o
l
u
t
i
o
n
s
.
T
h
i
s
i
n
c
l
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d
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e
a
s
s
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g
n
m
e
n
t
m
e
t
h
o
d
(
R
M
)
[
7
]
,
s
y
n
c
h
r
o
s
q
u
e
e
z
i
n
g
t
r
a
n
s
f
o
r
m
(
S
S
T
)
[8
-
1
0
]
,
p
ar
am
etr
ic
ti
m
e
f
r
eq
u
e
n
c
y
a
n
al
y
s
i
s
(
P
T
FA
)
m
et
h
o
d
[
1
1
-
1
4
]
an
d
d
em
o
d
u
lated
ti
m
e
f
r
eq
u
en
c
y
an
al
y
s
is
(
DT
FA
)
[
9
,
1
5
]
.
T
h
e
u
lti
m
ate
ai
m
o
f
t
h
ese
m
eth
o
d
s
is
to
i
m
p
r
o
v
e
T
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r
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tio
n
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y
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ev
el
o
p
in
g
an
id
ea
l
ti
m
e
f
r
eq
u
en
c
y
a
n
al
y
s
i
s
(
I
T
FA
)
m
e
th
o
d
[
1
6
]
an
d
to
o
b
tain
an
id
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l
T
F
r
e
p
r
esen
ta
tio
n
(
I
T
FR
)
w
h
ich
is
o
f
t
h
e
f
o
r
m
:
(
,
)
=
∑
(
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.
(
−
′
(
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(
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=
1
(
1
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w
h
er
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A
k
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t)
is
t
h
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ti
m
e
v
ar
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g
a
m
p
lit
u
d
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Dir
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h
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s
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n
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h
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ti
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M
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s
h
ar
p
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R
f
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h
m
ix
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t
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b
a
s
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n
ab
s
o
lu
te
T
FR
w
h
ic
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ad
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s
s
o
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s
ig
n
al
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o
n
s
tr
u
ctio
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ilit
y
.
PT
FA
an
d
DT
FA
ar
e
n
o
t
s
u
itab
le
f
o
r
p
r
o
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s
s
in
g
s
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g
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al
s
co
n
tain
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m
u
ltip
l
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co
m
p
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n
t
s
w
it
h
d
is
ti
n
ct
f
r
eq
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en
c
y
m
o
d
u
latio
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la
w
s
co
n
tin
u
o
u
s
l
y.
Her
e
w
e
u
s
e
SET
an
d
SS
T
as
p
o
s
t
p
r
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ce
s
s
in
g
tec
h
n
iq
u
e
o
f
ST
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w
h
ich
ar
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co
n
s
id
er
ed
to
b
e
p
r
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m
i
s
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g
T
F
R
m
e
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h
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d
,
a
s
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e
n
h
a
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s
T
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s
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t
h
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a
m
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t
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m
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f
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p
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t
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a
l
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y
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h
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c
a
s
e
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f
n
o
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s
y
s
p
e
e
c
h
m
ix
tu
r
es.
T
h
e
p
ap
e
r
is
o
r
g
an
ized
as
f
o
llo
w
s
.
Sect
io
n
2
d
escr
ib
es
th
e
b
ac
k
g
r
o
u
n
d
o
f
t
h
e
p
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o
p
o
s
ed
m
et
h
o
d
o
f
SET
an
d
SS
T
DUE
T
alg
o
r
ith
m
.
I
n
Sectio
n
3
w
e
p
r
esen
t
th
e
SET
an
d
SS
T
en
h
an
ce
d
DUE
T
alg
o
r
ith
m
.
Sectio
n
4
in
cl
u
d
es
r
esu
lts
an
d
d
is
cu
s
s
io
n
a
n
d
Sectio
n
5
g
i
v
es
s
u
m
m
ar
y
.
E
x
p
an
s
io
n
o
f
m
aj
o
r
ac
r
o
n
y
m
s
u
s
ed
in
th
e
f
o
llo
w
i
n
g
te
x
t
ar
e
-
T
F
R
:
ti
m
e
f
r
eq
u
e
n
c
y
r
ep
r
ese
n
t
ati
o
n
,
T
F:
ti
m
e
f
r
eq
u
e
n
c
y
,
DUE
T
:
d
eg
en
er
ate
u
n
m
i
x
i
n
g
es
ti
m
atio
n
tec
h
n
iq
u
e,
ST
F
T
:
s
h
o
r
t
tim
e
Fo
u
r
ier
tr
an
s
f
o
r
m
,
SET
:
s
y
n
c
h
r
o
ex
tr
ac
t
in
g
tr
a
n
s
f
o
r
m
,
SS
T
:
s
y
n
ch
r
o
s
q
u
ee
ze
d
tr
a
n
s
f
o
r
m
.
2.
P
RO
P
O
SE
D
M
E
T
H
O
D
DUE
T
is
a
w
el
l
-
e
s
tab
lis
h
ed
m
eth
o
d
f
o
r
m
u
ltic
h
a
n
n
e
l
s
o
u
r
ce
s
ep
ar
atio
n
an
d
lo
ca
lizatio
n
.
I
t
is
u
s
ed
in
v
ar
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u
s
ap
p
licatio
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s
li
k
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s
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o
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E
E
G
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d
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C
G
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f
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o
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m
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s
e
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s
o
r
s
,
s
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o
f
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ad
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s
ig
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in
te
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m
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,
in
au
d
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aid
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o
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d
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m
i
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s
ter
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ec
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d
in
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etc
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T
h
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tech
n
iq
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e
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n
o
t
b
o
u
n
d
t
o
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its
v
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laten
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o
p
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ties
.
2
.
1
.
Duet
a
lg
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h
m
Giv
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n
a
n
au
d
io
m
i
x
t
u
r
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s
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t
w
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m
n
id
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m
w
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k
n
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th
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t
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j
h
as
a
d
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ti
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ct
s
p
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p
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p
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s
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a
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α
k
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u
n
iq
u
e
to
t
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at
p
ar
ticu
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s
o
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[
6
]
.
P
r
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v
id
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th
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au
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s
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n
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f
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ar
ac
ter
is
t
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e
m
i
x
t
u
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ca
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b
e
p
ar
titi
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ed
b
ased
o
n
th
ese
s
p
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ch
ar
ac
ter
is
tic
s
.
B
u
t
D
UE
T
alg
o
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ith
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f
ail
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in
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ea
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w
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On
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tai
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le.
T
h
is
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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&
C
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I
SS
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2
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Hig
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(
S
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a
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in
M
.
A
b
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2623
lead
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im
p
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v
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it
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f
s
ep
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ate
d
s
p
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ch
[
1
7
]
.
SE
T
b
ased
o
n
ad
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p
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th
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s
s
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2
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2
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w
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u
r
e
1.
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u
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2
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3
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F
ro
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s
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g
y
[
1
8
]
h
en
ce
it is
i
m
p
o
s
s
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le
to
id
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A
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
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2
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8
8
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I
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&
C
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Vo
l.
11
,
No
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3
,
J
u
n
e
2
0
2
1
:
2
6
2
1
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2630
2624
(
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e
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in
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icien
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l
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n
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f
r
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m
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t,ω
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w
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ter
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s
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′
(
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0
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(
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Hen
ce
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f
o
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m
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(
7
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.
(
,
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(
,
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(
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(
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(
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h
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m
eq
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5
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th
at
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y
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ex
tr
ac
ts
th
e
T
F
co
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f
icie
n
ts
in
I
F
tr
aj
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to
r
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it
h
SEO
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t
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m
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v
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.
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h
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s
w
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f
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th
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m
o
r
e
en
er
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y
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n
ce
n
tr
ated
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a
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ce
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y
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ated
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e
m
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m
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s
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h
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it
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T
F
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tatio
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ca
s
e
o
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SE
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w
h
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s
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s
s
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n
m
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n
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s
m
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g
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co
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f
icie
n
ts
to
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w
p
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in
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in
T
F
p
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e.
A
l
s
o
t
h
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u
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h
SS
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an
d
SET
n
ee
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s
to
k
n
o
w
t
h
e
in
s
ta
n
ta
n
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u
s
f
r
eq
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en
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y
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aj
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to
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f
o
r
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n
s
tr
u
ctio
n
SS
T
n
ee
d
s
to
h
av
e
ad
d
itio
n
al
i
n
f
o
r
m
ati
o
n
ab
o
u
t
t
h
e
in
te
g
r
atio
n
r
eg
io
n
s
[
8
]
.
C
o
m
p
ar
ed
to
SS
T
,
SET
p
r
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v
id
e
a
s
h
ar
p
en
ed
an
d
f
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c
u
s
e
d
r
ep
r
esen
tatio
n
o
f
co
ef
f
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n
t
s
in
T
F
p
lan
e
esp
ec
iall
y
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n
n
o
is
y
en
v
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n
m
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n
ts
a
n
d
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u
r
aim
is
to
f
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n
d
o
u
t
w
h
ich
tech
n
iq
u
e
is
b
etter
w
h
e
n
ap
p
lied
to
DUE
T
.
3.
RE
S
E
ARCH
M
E
T
HOD
I
n
B
SS
tec
h
n
iq
u
es
DUE
T
h
as
b
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n
ac
ce
p
ted
as
o
n
e
o
f
t
h
e
m
o
s
t
e
f
f
ec
ti
v
e
w
a
y
f
o
r
s
ig
n
al
s
ep
ar
atio
n
esp
ec
iall
y
i
n
ca
s
es
w
h
en
n
u
m
b
er
o
f
s
o
u
r
ce
s
is
g
r
ea
ter
t
h
an
n
u
m
b
er
o
f
s
en
s
o
r
s
.
Ho
w
e
v
er
T
FR
w
h
ic
h
is
t
h
e
co
r
e
p
ar
t
o
f
DUE
T
f
ail
to
lo
c
alize
an
d
s
ep
ar
ate
in
d
iv
id
u
al
s
ig
n
al
s
w
h
e
n
ST
FT
is
u
s
ed
d
u
e
to
f
i
x
ed
s
p
ec
tr
al
r
eso
lu
tio
n
ca
u
s
ed
b
y
p
r
ed
eter
m
i
n
ed
w
i
n
d
o
w
w
id
t
h
.
Var
io
u
s
p
o
ten
tial
m
et
h
o
d
s
lik
e
SET
an
d
SS
T
h
as
b
ee
n
u
s
ed
to
in
cr
ea
s
e
t
h
e
s
h
ar
p
n
e
s
s
o
f
T
FR
an
d
is
u
s
ed
i
n
v
a
r
io
u
s
ap
p
licatio
n
li
k
e
id
en
ti
f
y
in
g
p
o
w
er
q
u
alit
y
d
is
tu
r
b
an
ce
s
[
1
9
]
,
f
au
lt
d
iag
n
o
s
is
i
n
r
o
lli
n
g
b
ea
r
in
g
[
2
0
]
,
h
y
d
r
o
ca
r
b
o
n
d
etec
tio
n
[
2
1
]
,
m
o
d
el
b
ased
d
ee
p
lear
n
in
g
[
2
2
-
23]
,
se
is
m
ic
ti
m
e
-
f
r
eq
u
en
c
y
an
al
y
s
is
[
2
4
]
etc
.
Hen
ce
SS
T
an
d
SET
is
an
id
ea
l
m
et
h
o
d
f
o
r
i
m
p
r
o
v
i
n
g
T
F
r
eso
lu
tio
n
i
n
DUE
T
w
h
ich
u
lti
m
atel
y
r
es
u
l
ts
i
n
h
i
g
h
q
u
al
it
y
s
p
ee
c
h
s
ep
ar
atio
n
esp
ec
iall
y
i
n
n
o
is
y
co
n
d
itio
n
s
.
3
.
1
.
SS
T
& SE
T
en
ha
nced
du
et
a
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Evaluation Warning : The document was created with Spire.PDF for Python.
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p
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3
,
J
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2
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2
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:
2
6
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2630
2626
ca
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2627
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Reny
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r
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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.
11
,
No
.
3
,
J
u
n
e
2
0
2
1
:
2
6
2
1
-
2630
2628
ev
alu
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l
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u
r
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g
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r
e
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s
h
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w
s
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r
r
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le
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e
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atch
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ated
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e
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n
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ap
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lic
at
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ar
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s
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s
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.
RE
F
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NC
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S
[1
]
P.
Co
m
o
n
,
“
I
n
d
e
p
e
n
d
e
n
t
c
o
m
p
o
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e
n
t
a
n
a
l
y
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i
s
-
a
n
e
w
c
o
n
c
e
p
t
?
,
”
S
i
g
n
a
l
P
r
o
c
e
s
s
i
n
g
,
v
o
l
.
36,
no.
3,
pp.
287
-
314,
1
9
9
4
.
[2
]
M
.
L
e
w
i
c
k
i,
a
n
d
T
.
S
e
jn
o
w
sk
i
,
“
L
e
a
rn
in
g
o
v
e
rc
o
m
p
lete
re
p
re
s
e
n
tatio
n
,
”
Ne
u
ra
l
Co
mp
u
t
a
ti
o
n
,
v
o
l.
12
,
n
o
.
2
,
pp.
3
3
7
-
365
,
2
0
0
0
.
[3
]
T.
W.
L
e
e
,
M
.
L
e
w
ic
k
i,
M
.
G
iro
la
m
i,
a
n
d
T
.
S
e
jn
o
w
sk
i,
“
Bli
n
d
S
o
u
rc
e
S
e
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a
ra
ti
o
n
o
f
m
o
re
so
u
rc
e
s
th
a
n
m
ix
tu
re
s
o
v
e
r
c
o
m
p
lete
re
p
re
se
n
tatio
n
s,”
I
EE
E
S
i
g
n
a
l
Pro
c
e
ss
in
g
L
e
tt
e
rs
,
v
o
l.
6
,
n
o
.
4
,
p
p
.
8
7
-
90
,
1
9
9
9
.
[4
]
P.
Bo
f
il
l
a
n
d
M
.
Zi
b
u
lev
sk
y
,
“
B
li
n
d
se
p
a
ra
ti
o
n
o
f
m
o
re
so
u
rc
e
s
th
a
n
m
ix
tu
re
s
u
sin
g
sp
a
rsit
y
o
f
t
h
e
i
r
sh
o
rt
-
ti
m
e
F
o
u
rier
tran
sf
o
rm
,
”
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ter
n
a
ti
o
n
a
l
W
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r
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sh
o
p
o
n
In
d
e
p
e
n
d
e
n
t
Co
mp
o
n
e
n
t
A
n
a
lys
is
a
n
d
Bl
i
n
d
S
i
g
n
a
l
S
e
p
a
ra
ti
o
n
,
He
lsin
k
i,
F
in
la
n
d
,
p
p
.
87
-
92,
2
0
0
0
.
[5
]
A.
Jo
u
rji
n
e
,
S.
Rick
a
rd
,
a
n
d
Q.
Y
il
m
a
z
,
“
Bli
n
d
se
p
a
ra
ti
o
n
o
f
d
isjo
i
n
t
o
rt
h
o
g
o
n
a
l
sig
n
a
ls:
De
m
i
x
in
g
N
so
u
rc
e
s
f
ro
m
2
m
ix
tu
re
s,”
2
0
0
0
IEE
E
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Aco
u
stics
,
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p
e
e
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h
,
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n
d
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ig
n
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l
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ss
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,
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l,
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0
0
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,
p
p
.
2
9
8
5
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8
8
.
[6
]
O.
Yilm
a
z
a
n
d
S
.
Rick
a
rd
,
“
Bli
n
d
se
p
a
ra
ti
o
n
o
f
sp
e
e
c
h
m
ix
tu
re
s
v
ia
ti
m
e
-
f
re
q
u
e
n
c
y
m
a
s
k
in
g
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
S
ig
n
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l
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c
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ss
in
g
,
v
o
l.
5
2
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n
o
.
7
,
p
p
.
1
8
3
0
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1
8
4
7
,
2
0
0
4
.
[7
]
F.
A
u
g
e
r
a
n
d
P
.
F
lan
d
ri
n
,
“
Im
p
ro
v
in
g
th
e
re
a
d
a
b
il
it
y
o
f
ti
m
e
f
r
e
q
u
e
n
c
y
a
n
d
ti
m
e
sc
a
le
re
p
re
se
n
tatio
n
s
b
y
th
e
re
a
ss
ig
n
m
e
n
t
m
e
th
o
d
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s o
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S
ig
n
a
l
Pro
c
e
ss
in
g
,
v
o
l.
4
3
,
n
o
.
5
,
p
p
.
1
0
6
8
-
1
0
8
9
,
1
9
9
5
.
[8
]
I.
Da
u
b
e
c
h
ies
,
J.
L
u
a
n
d
H.
T.
Wu
,
“
S
y
n
c
h
ro
sq
u
e
e
z
e
d
wa
v
e
let
tra
n
sf
o
rm
s:
A
n
e
m
p
iri
c
a
l
m
o
d
e
d
e
c
o
m
p
o
siti
o
n
-
li
k
e
to
o
l
,
”
Ap
p
li
e
d
a
n
d
C
o
mp
u
ta
ti
o
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l
Ha
rm
o
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ic
An
a
lys
is
,
v
o
l.
3
0
,
n
o
.
2
,
p
p
.
2
4
3
-
2
6
1
,
2
0
1
1
.
[9
]
S.
W
a
n
g
,
X
.
Ch
e
n
,
G
.
L
i,
X
.
L
i
a
n
d
Z.
He
,
“
M
a
t
c
h
i
n
g
d
e
m
o
d
u
l
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t
i
o
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t
r
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w
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p
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o
n
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o
r
r
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b
-
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m
p
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f
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u
l
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,
”
I
E
E
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M
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3
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4
.
[1
0
]
T.
Ob
e
rli
n
,
S.
M
e
ig
n
e
n
,
a
n
d
V
.
P
e
rrier,
“
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e
c
o
n
d
-
o
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e
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sy
n
c
h
ro
sq
u
e
e
z
in
g
tran
sf
o
r
m
o
r
in
v
e
rti
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le
re
a
ss
i
g
n
m
e
n
t?
T
o
wa
rd
s
id
e
a
l
ti
m
e
f
r
e
q
u
e
n
c
y
re
p
re
se
n
tatio
n
s
,”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
S
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g
n
a
l
Pro
c
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ss
in
g
,
v
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l.
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3
,
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o
.
5
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p
p
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1
3
3
5
-
1
3
4
4
,
2
0
1
5
.
[1
1
]
Z.
K.
P
e
n
g
,
G
.
M
e
n
g
,
F
.
L
.
C
h
u
,
Z.
Q.
L
a
n
g
,
W.
M.
Zh
a
n
g
,
a
n
d
Y.
Ya
n
g
,
“
P
o
ly
n
o
m
ial
c
h
irp
let
t
ra
n
sf
o
r
m
w
it
h
a
p
p
li
c
a
ti
o
n
to
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n
sta
n
tan
e
o
u
s
f
re
q
u
e
n
c
y
e
sti
m
a
ti
o
n
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
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me
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ta
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n
a
n
d
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me
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t
,
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o
l.
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0
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o
.
9
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p
p
.
3
2
2
2
-
3
2
2
9
,
2
0
1
1
.
[1
2
]
W.
Ya
n
g
,
P.
J.
T
a
v
n
e
r,
a
n
d
W
.
T
i
a
n
,
“
W
in
d
T
u
rb
in
e
Co
n
d
it
i
o
n
M
o
n
it
o
ri
n
g
Ba
se
d
o
n
a
n
Im
p
ro
v
e
d
S
p
l
in
e
-
Ke
rn
e
ll
e
d
Ch
irp
let
T
ra
n
sf
o
rm
,”
IEE
E
T
ra
n
s
a
c
ti
o
n
s o
n
In
d
u
stri
a
l
E
lec
tro
n
ics
,
v
o
l.
6
2
,
n
o
.
1
0
,
p
p
.
6
5
6
5
-
6
5
7
4
,
2
0
1
5
.
[1
3
]
Y.
Ya
n
g
,
Z.
K.
P
e
n
g
,
G.
M
e
n
g
a
n
d
W.
M.
Z
h
a
n
g
,
“
S
p
li
n
e
-
k
e
rn
e
ll
e
d
Ch
ir
p
let
tra
n
sf
o
rm
f
o
r
th
e
a
n
a
ly
sis
o
f
sig
n
a
ls
w
it
h
ti
m
e
-
v
a
r
y
in
g
f
re
q
u
e
n
c
y
a
n
d
it
s
a
p
p
l
ica
ti
o
n
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
In
d
u
stri
a
l
El
e
c
tro
n
ics
,
v
o
l.
5
9
,
n
o
.
3
,
p
p
.
1
6
1
2
-
1
6
2
1
,
2
0
1
2
.
[1
4
]
Y.
Ya
n
g
,
W
.
Zh
a
n
g
,
Z.
P
e
n
g
a
n
d
G
.
M
e
n
g
,
“
M
u
lt
ico
m
p
o
n
e
n
t
sig
n
a
l
a
n
a
l
y
sis
b
a
se
d
o
n
p
o
ly
n
o
m
ial
c
h
irp
let
tran
sf
o
r
m
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s o
n
In
d
u
stri
a
l
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c
t
ro
n
ics
,
v
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l.
6
0
,
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o
.
9
,
p
p
.
3
9
4
8
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9
5
6
,
2
0
1
3
.
[1
5
]
S.
W
a
n
g
,
X.
Ch
e
n
,
G.
L
i,
X
.
L
i
a
n
d
Z.
He
,
“
M
a
tch
in
g
d
e
m
o
d
u
l
a
ti
o
n
tran
sf
o
rm
a
n
d
s
y
n
c
h
ro
sq
u
e
e
z
in
g
in
ti
m
e
-
f
re
q
u
e
n
c
y
a
n
a
l
y
sis,”
IEE
E
T
ra
n
s
a
c
ti
o
n
s o
n
S
i
g
n
a
l
Pro
c
e
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in
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,
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l
.
6
2
,
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o
.
1
,
p
p
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6
9
-
84
,
2
0
1
4
.
[1
6
]
L.
J.
S
tan
k
o
v
ic,
I.
Dj
u
ro
v
ic,
S.
S
tan
k
o
v
ic,
M.
S
im
e
u
n
o
v
ic,
S.
Dju
k
a
n
o
v
ic,
a
n
d
M.
Da
k
o
v
ic,
“
In
sta
n
tan
e
o
u
s
f
re
q
u
e
n
c
y
in
ti
m
e
-
f
re
q
u
e
n
c
y
a
n
a
l
y
sis:
En
h
a
n
c
e
d
c
o
n
c
e
p
ts
a
n
d
p
e
rf
o
r
m
a
n
c
e
o
f
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sti
m
a
ti
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n
a
lg
o
rit
h
m
s,”
Dig
it
a
l
S
ig
n
a
l
Pro
c
e
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in
g
,
v
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l.
3
5
,
p
p
.
1
-
13,
2
0
1
4
.
[1
7
]
S
.
M.
A
b
d
u
ll
a
a
n
d
J.
Ja
y
a
k
u
m
a
ri,
“
De
g
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n
e
ra
te
Un
m
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x
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g
Esti
m
a
ti
o
n
T
e
c
h
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iq
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e
of
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c
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ix
tu
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in
Re
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l
En
v
iro
n
m
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ts u
sin
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v
e
lets
,
”
I
n
ter
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ti
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J
o
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tro
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L
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.
3
,
p
p
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3
,
2
0
1
9
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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J
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2
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2630
2630
[1
8
]
G.
Yu
,
M.
Yu
,
a
n
d
C.
Xu
,
“
S
y
n
c
h
ro
e
x
trac
ti
n
g
T
ra
n
s
f
o
r
m
,
”
IEE
E
T
ra
n
s
a
c
ti
o
n
s
o
n
In
d
u
stri
a
l
El
e
c
t
ro
n
ics
,
v
o
l.
6
4
,
n
o
.
1
0
,
p
p
.
8
0
4
2
-
8
0
5
4
,
2
0
1
7
.
[1
9
]
G
u
p
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