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[
5
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u
s
i
n
g
a
m
et
h
o
d
b
ased
ap
p
r
o
ac
h
n
u
ll
-
s
p
ac
e
p
u
r
s
u
it
(
NSP
)
to
s
o
lv
e
u
n
d
er
d
eter
m
in
e
d
p
r
o
b
lem
.
N
SP
is
u
s
ed
to
es
ti
m
ate
th
e
d
if
f
er
en
tial
o
p
er
ato
r
f
r
o
m
v
ib
r
atio
n
m
o
d
el
o
f
b
e
ar
in
g
f
a
u
lt.
I
n
th
a
t
s
tu
d
y
,
t
h
e
ap
p
r
o
ac
h
u
s
ed
to
esti
m
ate
t
h
e
m
i
x
i
n
g
m
atr
ix
i
s
A
J
D
[
8
]
.
I
n
p
r
ev
io
u
s
r
ese
ar
ch
,
[
9
]
w
e
h
a
v
e
s
u
cc
ee
d
ed
i
n
s
ep
ar
ati
n
g
t
h
e
m
ix
ed
s
i
g
n
al
s
o
it
ca
n
b
e
u
s
ed
t
o
d
eter
m
in
e
th
e
co
n
d
itio
n
o
f
t
h
e
e
n
g
in
e
b
y
u
s
in
g
A
J
D
ap
p
r
o
ac
h
[
9
]
.
I
f
t
h
e
m
i
x
i
n
g
p
r
o
ce
s
s
is
s
tatio
n
ar
y
,
th
e
n
th
e
m
ix
in
g
m
atr
i
x
c
an
b
e
o
b
tai
n
ed
b
y
A
J
D.
T
h
e
d
eter
m
i
n
in
g
p
r
o
ce
s
s
o
f
t
h
e
m
ix
in
g
m
atr
i
x
u
s
i
n
g
A
J
D
is
q
u
ite
co
m
p
lex
.
A
n
o
n
-
s
q
u
ar
e
m
atr
ix
h
a
s
to
b
e
co
n
v
er
ted
i
n
to
a
s
q
u
ar
e
m
atr
i
x
th
at
r
eq
u
ir
e
s
esti
m
atio
n
o
f
a
d
e
m
i
x
i
n
g
m
atr
ix
,
u
n
itar
y
m
atr
i
x
,
an
d
s
e
lectio
n
au
to
ter
m
o
r
cr
o
s
s
ter
m
cr
iter
io
n
.
T
h
e
m
et
h
o
d
in
v
o
lv
e
s
q
u
ite
h
ea
v
y
c
o
m
p
u
tatio
n
[
8
]
,
[
1
0
]
.
I
n
o
r
d
er
to
r
ed
u
ce
th
is
co
m
p
le
x
it
y
,
th
e
A
J
D
ap
p
r
o
ac
h
at
ea
ch
b
in
f
r
eq
u
e
n
c
y
ca
n
b
e
ap
p
r
o
x
i
m
ated
b
y
a
m
u
l
ti
-
w
a
y
ar
r
a
y
d
ec
o
m
p
o
s
itio
n
ap
p
r
o
ac
h
.
T
h
e
ap
p
r
o
ac
h
u
s
ed
b
y
Nio
n
et
al.
in
2
0
1
0
[
1
0
]
.
B
ased
o
n
h
is
r
esear
ch
,
th
e
m
u
l
ti
-
w
a
y
ar
r
a
y
d
ec
o
m
p
o
s
itio
n
h
as
a
f
ast
co
m
p
u
tatio
n
an
d
g
o
o
d
p
er
f
o
r
m
a
n
ce
to
s
o
l
v
e
t
h
e
p
r
o
b
lem
s
o
f
s
p
ee
c
h
s
ig
n
al
s
ep
ar
atio
n
i
n
a
n
u
n
d
er
d
eter
m
in
ed
ca
s
e
w
it
h
cr
o
s
s
ta
l
k
r
ed
u
ctio
n
tec
h
n
iq
u
es.
I
n
2
0
1
5
,
th
e
m
u
lti
-
w
a
y
ar
r
ay
d
ec
o
m
p
o
s
it
io
n
m
et
h
o
d
is
also
u
s
ed
b
y
M
ü
ller
et
al.
to
d
etec
t
f
au
lts
i
n
HV
AC
s
y
s
te
m
u
s
i
n
g
q
u
alitat
iv
e
m
o
d
el
ap
p
r
o
ac
h
.
B
ased
o
n
th
e
r
esu
lt
o
b
tain
ed
,
m
u
lti
-
w
a
y
a
r
r
ay
d
ec
o
m
p
o
s
itio
n
ca
n
r
ed
u
ce
th
e
co
m
p
le
x
it
y
o
f
m
o
d
el
d
er
iv
a
tio
n
[
1
1
]
.
T
h
e
r
esu
lts
s
h
o
w
ed
t
h
e
ef
f
ec
ti
v
en
e
s
s
o
f
th
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
.
I
n
th
i
s
s
t
u
d
y
,
w
e
p
r
o
p
o
s
e
a
m
u
lti
-
w
a
y
ar
r
a
y
d
ec
o
m
p
o
s
i
t
io
n
m
et
h
o
d
to
s
i
m
p
li
f
y
th
e
s
ep
ar
atio
n
p
r
o
ce
s
s
f
o
r
f
a
u
lt
d
iag
n
o
s
i
s
.
W
e
co
n
d
u
ct
an
e
x
p
er
i
m
e
n
t
u
s
in
g
ac
o
u
s
tic
e
m
is
s
io
n
s
f
r
o
m
a
m
o
to
r
-
p
u
m
p
s
y
s
te
m
in
t
h
e
r
ea
l
p
la
n
t.
T
h
e
r
ec
o
r
d
in
g
o
f
ac
o
u
s
tic
s
i
g
n
a
ls
f
r
o
m
t
h
e
m
ac
h
in
e
w
ill
b
e
d
o
n
e
in
2
s
tag
e
s
t
h
at
ar
e
th
e
r
ec
o
r
d
in
g
o
f
th
e
b
aseli
n
e
a
n
d
m
i
x
ed
s
i
g
n
als.
T
h
e
b
ase
lin
e
s
i
g
n
al
s
w
i
ll
b
e
u
s
ed
a
s
r
e
f
er
en
ce
t
h
e
o
r
ig
i
n
al
s
ig
n
al
s
f
r
o
m
t
h
e
s
o
u
r
ce
s
.
I
n
o
r
d
er
to
test
th
e
ac
c
u
r
ac
y
a
n
d
ef
f
ec
t
iv
e
n
es
s
o
f
th
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
,
s
o
u
n
d
s
ig
n
al
s
ep
ar
atio
n
r
es
u
lt
s
w
ill b
e
co
m
p
ar
ed
w
ith
d
ata
ta
k
en
w
i
th
th
e
v
ib
r
atio
n
s
e
n
s
o
r
.
2.
SYST
E
M
O
VE
RVI
E
W
2
.
1
.
B
lin
d So
urce
Sepa
ra
t
io
n
B
lin
d
s
o
u
r
ce
s
ep
ar
atio
n
is
a
co
m
m
o
n
m
eth
o
d
u
s
ed
to
s
ep
ar
ate
m
ix
ed
s
ig
n
als.
I
n
o
r
d
er
to
s
e
p
ar
ate
th
e
m
i
x
ed
s
ig
n
al
s
an
d
esti
m
ate
t
h
e
s
ig
n
al
s
o
u
r
ce
,
s
ig
n
al
m
ix
in
g
p
r
o
ce
s
s
m
o
d
eled
p
r
ev
io
u
s
l
y
.
T
h
e
m
ix
in
g
p
r
o
ce
s
s
co
n
f
i
g
u
r
atio
n
w
it
h
t
w
o
s
e
n
s
o
r
s
an
d
t
w
o
s
o
u
r
ce
s
(
d
eter
m
i
n
ed
ca
s
e)
ca
n
s
i
m
p
l
y
b
e
ex
p
r
ess
e
d
as:
[
]
[
]
[
]
(
1
)
w
h
e
r
e
A
i
s
th
e
m
ix
in
g
m
atr
i
x
,
B
is
th
e
s
ig
n
a
l
s
o
u
r
ce
,
an
d
C
is
a
m
i
x
ed
s
ig
n
al.
B
y
p
er
f
o
r
m
i
n
g
t
h
e
in
v
er
s
e
o
f
a
m
atr
i
x
A
,
B
w
i
ll b
e
o
b
tai
n
ed
w
h
ic
h
i
s
t
h
e
s
o
u
r
ce
o
f
t
h
e
s
ig
n
al
in
t
h
e
f
r
eq
u
en
c
y
d
o
m
ain
.
T
h
er
ef
o
r
e,
t
h
e
m
i
x
in
g
m
atr
i
x
A
m
u
s
t
b
e
o
b
tain
ed
p
r
ev
io
u
s
l
y
.
T
h
e
s
ep
ar
atio
n
p
r
o
ce
s
s
ca
n
b
e
d
ir
ec
ted
to
th
e
f
in
it
e
i
m
p
u
ls
e
r
esp
o
n
s
e
to
s
i
m
p
li
f
y
t
h
e
p
r
o
ce
s
s
.
(
)
∑
(
)
(
)
(
2
)
w
h
er
e
V(
t)
=
[
v
1
(
t)
,
v
2
(
t)
,
.
.
.
.
v
n
(
t)
]
T
is
an
in
d
ep
e
n
d
en
t
esti
m
atio
n
o
f
ea
c
h
s
o
u
r
ce
,
D
is
th
e
m
a
x
i
m
u
m
c
h
an
n
el
len
g
th
,
a
n
d
W
is
th
e
d
e
m
i
x
i
n
g
m
atr
i
x
.
I
n
o
r
d
er
to
esti
m
ate
v
(
t)
ca
n
b
e
d
o
n
e
b
y
u
s
i
n
g
th
e
Ku
llb
ac
k
-
L
eib
ler
d
iv
er
g
e
n
ce
as
a
cr
iter
io
n
f
o
r
i
n
d
ep
en
d
en
c
y
[
5
]
.
I
f
t
h
e
m
atr
i
x
A
ca
n
n
o
t
b
e
in
v
er
ted
,
it
i
s
n
e
ce
s
s
ar
y
to
u
s
e
A
J
D
w
it
h
as
s
u
m
ed
i
n
d
ep
en
d
en
t
s
o
u
r
ce
s
.
I
n
o
r
d
er
to
s
im
p
li
f
y
th
e
esti
m
a
tin
g
p
r
o
ce
s
s
o
f
m
ix
in
g
m
atr
ix
,
m
u
lti
-
w
a
y
ar
r
ay
d
ec
o
m
p
o
s
itio
n
m
o
d
el
ca
n
b
e
d
ev
elo
p
ed
[
1
0
]
,
[
1
1
]
.
2
.
2
.
M
ulti
-
w
a
y
Arr
a
y
Dec
o
m
po
s
i
t
io
n
I
n
m
u
l
ti
-
w
a
y
ar
r
a
y
d
ec
o
m
p
o
s
itio
n
,
t
h
e
m
i
x
ed
s
i
g
n
al
w
i
ll
b
e
d
iv
id
ed
in
to
s
e
v
er
al
s
u
b
-
b
l
o
ck
s
w
h
ic
h
ea
ch
s
u
b
-
b
lo
c
k
co
m
p
r
is
ed
o
f
s
a
m
p
le
s
i
n
a
f
e
w
b
lo
ck
s
.
S
ig
n
a
l
s
ep
ar
atio
n
m
e
th
o
d
w
it
h
m
u
lti
-
w
a
y
ar
r
a
y
d
ec
o
m
p
o
s
itio
n
b
eg
i
n
s
b
y
ch
a
n
g
in
g
t
h
e
s
i
g
n
al
f
r
o
m
th
e
ti
m
e
d
o
m
ai
n
to
th
e
f
r
eq
u
e
n
c
y
d
o
m
a
in
af
ter
w
i
n
d
o
w
i
n
g
p
r
o
ce
s
s
an
d
f
r
a
m
e
b
lo
ck
i
n
g
.
F
u
r
th
er
m
o
r
e,
t
h
e
s
ig
n
al
C
(
f
)
w
i
ll
b
e
u
s
ed
to
s
ea
r
ch
f
o
r
au
to
co
r
r
elatio
n
m
atr
i
x
R
c
b
y
ca
lcu
lat
in
g
t
h
e
cr
o
s
s
-
co
r
r
elatio
n
o
f
ea
c
h
p
o
in
t
i
n
t
h
e
f
ield
o
f
t
i
m
e
-
f
r
eq
u
e
n
c
y
.
Ma
tr
ix
R
c
is
s
ized
m
x
m
x
P
x
s
T
w
h
er
e
P
is
t
h
e
ti
m
e
b
lo
ck
s
a
lo
n
g
th
e
f
r
eq
u
e
n
c
y
b
in
,
s
T
is
t
h
e
le
n
g
th
o
f
S
T
F
T
,
an
d
m
i
s
t
h
e
n
u
m
b
er
o
f
s
e
n
s
o
r
s
.
B
y
u
s
i
n
g
m
u
lti
-
w
a
y
ar
r
a
y
d
ec
o
m
p
o
s
i
tio
n
o
n
R
c
at
a
n
y
f
r
eq
u
e
n
c
y
,
w
e
ca
n
g
et
t
h
e
m
ix
in
g
m
atr
i
x
A
an
d
d
e
m
i
x
i
n
g
m
atr
i
x
W
[
1
1
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
6
,
Dec
em
b
er
2
0
1
7
:
3
0
5
2
–
3
0
5
9
3054
(
)
[
(
)
(
)
]
(
)
(
3
)
(
)
(
)
(
)
(
)
(
4
)
w
h
er
e
(
)
[
(
)
(
)
]
a
n
d
(
)
[
(
)
(
)
]
.
E
ac
h
ele
m
e
n
t
o
f
th
e
R
c
(
f
)
i
s
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c
m
1
m
2p
(
f
)
,
ea
ch
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m
e
n
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o
f
A
(
f
)
is
a
m
,
n
(
f
)
an
d
ea
ch
e
le
m
e
n
t
o
f
th
e
d
ia
g
o
n
al
o
f
R
b
(
f
,
p
)
i
s
v
p,
n
(
f
)
s
o
th
at
th
e
eq
u
atio
n
m
a
y
b
e
w
r
itte
n
as
f
o
llo
w
s
:
(
)
∑
(
)
(
)
(
)
(
5
)
Mu
lti
-
w
a
y
ar
r
a
y
R
c
(
f
)
i
s
co
n
s
tr
u
cted
f
r
o
m
t
h
e
m
atr
i
x
ele
m
en
ts
i
n
t
h
e
E
q
u
at
io
n
(
5
)
w
h
er
e
n
is
t
h
e
n
u
m
b
er
s
o
f
s
o
u
r
ce
s
.
T
h
e
eq
u
atio
n
is
a
co
n
j
u
g
ate
s
y
m
m
etr
ic
o
f
p
ar
allel
f
ac
to
r
d
ec
o
m
p
o
s
it
io
n
u
s
ed
to
g
et
th
e
m
i
x
in
g
m
atr
i
x
A
(
f
)
an
d
t
h
e
m
atr
ix
o
f
p
o
w
er
s
p
ec
tr
a
V(
f
)
th
r
o
u
g
h
th
e
p
er
m
u
tat
io
n
p
r
o
ce
s
s
.
T
h
e
m
i
x
i
n
g
m
atr
i
x
A
(
f
)
an
d
t
h
e
s
o
u
r
ce
p
o
w
er
s
p
ec
tr
a
V(
f
)
ca
n
b
e
esti
m
at
ed
w
it
h
al
ter
n
ati
n
g
least
s
q
u
ar
es
al
g
o
r
ith
m
b
y
m
i
n
i
m
izi
n
g
t
h
e
Fro
b
en
i
u
s
n
o
r
m
in
E
q
u
atio
n
(
6
)
.
(
)
(
)
(
)
(
)
I
n
th
e
s
tr
u
ctu
r
e
o
f
t
h
e
Kh
at
r
i
-
R
ao
,
E
(
f
)
,
Σ
(
f
)
,
an
d
G
H
(
f
)
is
ex
e
m
p
li
f
ied
m
atr
i
x
I
,
J
,
an
d
K
w
h
ich
i
s
a
co
n
s
tit
u
e
n
t
m
i
x
ed
m
atr
ix
C
.
Fo
r
m
atr
ices
I
,
J
,
an
d
K,
t
h
e
m
i
x
ed
m
atr
ix
C
o
p
er
ated
w
i
t
h
t
h
e
f
u
n
c
tio
n
Z
i
,
Z
j
,
an
d
Z
k
.
T
h
e
al
g
o
r
ith
m
b
eg
in
s
w
it
h
d
eter
m
in
in
g
t
h
e
p
r
o
f
ile
m
atr
i
x
I
b
y
m
atr
ix
KʘJ
=
Z
i
s
o
th
at
I
=
C
.Z
i
+
.
I
n
o
r
d
er
to
d
eter
m
in
e
t
h
e
p
r
o
f
ile
s
m
atr
ix
J
th
e
n
C
=J
.
(
KʘI
)
T
=
J
.
Z
j
T
,
s
o
J
=
C
.
Z
j
+
a
n
d
to
d
et
er
m
in
e
t
h
e
p
r
o
f
ile
m
atr
i
x
K
th
e
n
C
=
K.
(
J
ʘI
)
T
=
K.
Z
k
T
,
s
o
K
=
C
.
Z
k
+
.
P
r
o
f
ile
m
atr
ices I
,
J
,
an
d
K
w
ill b
e
ite
r
ated
u
n
til i
t r
ea
ch
e
s
a
m
in
i
m
u
m
f
itti
n
g
f
u
n
c
tio
n
[
1
0
]
,
[
1
1
]
.
∑
∑
∑
(
̂
)
(
7
)
(
∑
∑
∑
)
(
8
)
2
.
3
.
F
a
ult
I
dentif
ica
t
io
n
Ma
ch
i
n
er
y
f
a
u
lts
w
ill
d
i
s
r
u
p
t
th
e
p
r
o
d
u
ctio
n
p
r
o
ce
s
s
i
n
t
h
e
i
n
d
u
s
tr
y
.
I
t
i
s
ca
u
s
ed
,
d
u
e
to
s
ev
er
al
f
ac
to
r
s
s
u
c
h
as
th
e
e
f
f
ec
ts
o
f
te
m
p
er
atu
r
e,
l
u
b
r
icatio
n
,
d
esi
g
n
a
n
d
i
n
s
ta
llatio
n
,
a
n
d
et
c.
I
n
o
r
d
er
to
id
en
tify
f
au
lts
,
t
h
e
p
atter
n
o
f
t
h
e
v
i
b
r
atio
n
s
p
ec
tr
u
m
m
u
s
t
b
e
a
n
al
y
ze
d
.
E
ac
h
m
ac
h
i
n
e
h
as
d
if
f
er
e
n
t
p
atter
n
s
,
d
ep
en
d
in
g
o
n
th
e
le
v
el
an
d
t
y
p
e
o
f
d
ef
ec
t
in
th
e
m
ac
h
in
e.
Misali
g
n
m
e
n
t
an
d
b
ea
r
in
g
f
au
lt
ar
e
ex
a
m
p
les
o
f
th
e
f
au
lt
th
at
ca
n
o
cc
u
r
in
r
o
tatin
g
m
ac
h
i
n
er
y
.
Misal
ig
n
m
en
t
is
a
co
n
d
itio
n
w
h
en
t
h
e
ce
n
ter
l
in
e
o
f
th
e
g
eo
m
etr
y
o
f
th
e
t
w
o
co
u
p
led
m
ac
h
i
n
es
i
s
n
o
n
-
li
n
ea
r
alo
n
g
t
h
e
ax
is
li
n
e
o
f
th
e
m
ac
h
in
e
d
u
r
i
n
g
o
p
e
r
atio
n
.
I
t
r
ef
er
s
to
th
e
m
o
u
n
ti
n
g
co
n
d
itio
n
.
O
n
t
h
e
o
th
er
h
a
n
d
,
r
o
llin
g
ele
m
e
n
t
b
ea
r
in
g
f
a
u
lts
ca
n
b
e
ca
u
s
ed
b
y
4
0
%
o
f
i
m
p
r
o
p
er
lu
b
r
icatio
n
f
ac
to
r
,
3
0
% f
r
o
m
i
m
p
r
o
p
er
m
o
u
n
ti
n
g
an
d
1
0
% o
f
th
e
l
if
et
i
m
e
[
1
2
]
.
Misali
g
n
m
e
n
t
ca
n
b
e
id
en
ti
f
ie
d
b
y
a
h
i
g
h
a
m
p
li
tu
d
e
1
x
an
d
2
x
in
th
e
f
r
eq
u
e
n
c
y
d
o
m
ai
n
.
I
n
a
s
e
v
er
e
ca
s
e,
a
h
ig
h
an
d
s
tr
o
n
g
p
ea
k
3
x
o
r
4
x
is
s
till
ca
teg
o
r
ized
as
m
is
a
lig
n
m
e
n
t.
I
d
en
tific
atio
n
o
f
b
ea
r
in
g
f
au
lt
also
v
ar
ies
d
ep
en
d
in
g
o
n
t
h
e
t
y
p
e
s
an
d
lev
els
o
f
th
e
d
ef
ec
t.
B
ea
r
in
g
s
h
a
v
e
s
tat
ic
an
d
d
y
n
a
m
ic
co
m
p
o
n
e
n
t
s
.
B
all
b
ea
r
in
g
s
i
n
cl
u
d
e
d
y
n
a
m
ic
co
m
p
o
n
en
ts
th
a
t
ar
e
s
p
ec
ialized
to
b
ea
r
a
h
ig
h
w
o
r
k
.
T
h
e
b
all
b
e
ar
in
g
is
b
et
w
ee
n
th
e
i
n
n
er
r
ac
e
a
n
d
th
e
o
u
ter
r
ac
e.
I
t
m
o
v
es
in
s
id
e
t
h
e
ca
g
e.
W
h
en
t
h
er
e
is
f
r
ict
io
n
b
et
w
e
en
t
h
e
b
all
b
ea
r
in
g
s
w
it
h
o
th
er
co
m
p
o
n
e
n
ts
th
e
n
th
e
r
esu
l
tin
g
f
r
eq
u
e
n
c
y
w
i
ll
b
e
d
if
f
er
e
n
t
f
r
o
m
b
ef
o
r
e.
T
h
e
t
y
p
es
o
f
d
ef
ec
t
d
ep
en
d
o
n
th
e
in
ter
ac
tio
n
b
et
w
ee
n
th
e
r
o
ller
elem
en
t
b
ea
r
in
g
w
ith
o
th
er
p
ar
ts
s
u
ch
as
t
h
e
o
u
ter
r
ac
e,
in
n
er
r
ac
e,
an
d
etc.
I
n
a
s
ev
er
e
ca
s
e,
b
ea
r
in
g
f
a
u
lt
i
s
m
ar
k
ed
w
it
h
h
ig
h
p
ea
k
s
in
t
h
e
u
p
p
er
f
r
eq
u
en
cies
th
at
ar
e
n
o
t
a
h
ar
m
o
n
ics
[
1
3
]
.
3.
SE
P
A
RA
T
I
O
N
P
RO
C
E
S
S AN
D
E
XP
E
RIM
E
NT
3
.
1
.
Sepa
ra
t
io
n P
ro
ce
s
s
I
n
th
is
s
tu
d
y
,
a
n
ac
o
u
s
tic
s
i
g
n
al
in
t
h
e
ti
m
e
d
o
m
ai
n
as
s
h
o
w
n
in
Fi
g
u
r
e
1
w
il
l
b
e
tr
an
s
f
o
r
m
ed
i
n
ti
m
e
-
f
r
eq
u
en
c
y
d
o
m
ai
n
u
s
in
g
s
h
o
r
t
-
ti
m
e
Fo
u
r
ier
tr
an
s
f
o
r
m
.
P
r
ev
io
u
s
l
y
,
th
e
s
i
g
n
al
m
u
s
t
b
e
f
o
r
m
ed
in
to
ch
u
n
k
s
o
f
li
m
ited
ti
m
e
th
r
o
u
g
h
th
e
s
a
m
p
l
in
g
p
r
o
ce
s
s
.
F
u
r
th
er
m
o
r
e,
a
s
ig
n
al
s
a
m
p
li
n
g
r
es
u
lts
w
ill
b
e
f
o
r
m
ed
in
to
a
n
u
m
b
er
o
f
f
r
a
m
es
in
wh
ich
a
f
r
a
m
e
is
m
ad
e
u
p
o
f
s
e
v
er
al
s
a
m
p
les
(
f
r
a
m
e
b
lo
ck
i
n
g
)
.
I
t
w
il
l
b
e
m
er
g
ed
b
ac
k
th
r
o
u
g
h
w
i
n
d
o
w
i
n
g
p
r
o
ce
s
s
.
T
h
e
p
r
o
ce
s
s
is
u
s
e
f
u
l
f
o
r
r
ed
u
cin
g
t
h
e
e
f
f
ec
ts
o
f
d
is
co
n
ti
n
u
ities
in
t
h
e
p
iece
s
o
f
th
e
s
ig
n
al
b
ef
o
r
e
Fo
u
r
ier
tr
an
s
f
o
r
m
atio
n
p
r
o
ce
s
s
[
5
]
.
(
6
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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u
r
e
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.
Mix
t
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r
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ith
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w
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e
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P
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m
atr
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d
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w
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b
e
in
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n
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ain
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ated
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ated
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th
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ated
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n
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[
1
4
]
.
T
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ated
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w
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d
MSE
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g
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m
aller
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I
n
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in
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tio
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d
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[
1
2
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∑
(
(
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9
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(
(
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(
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1
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w
h
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L
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x
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a
n
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ased
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4.
RE
SU
L
T
AND
DI
SCUS
SI
O
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Mix
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s
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ated
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m
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B
ased
o
n
L
SD
cr
iter
io
n
in
t
h
e
f
r
eq
u
en
c
y
d
o
m
ai
n
,
th
e
clo
s
est
s
p
ec
tr
u
m
o
f
esti
m
ated
s
ig
n
al
to
t
h
e
s
p
ec
tr
u
m
o
f
th
e
s
i
g
n
al
s
o
u
r
ce
is
1
.
9
1
4
o
n
th
e
esti
m
ated
s
ig
n
al
̂
4
.
T
h
e
s
m
all
v
a
lu
e
o
f
th
e
MSE
an
d
L
S
D
m
ea
n
s
clo
s
e
to
th
e
b
aselin
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s
ig
n
al
an
d
v
i
ce
v
er
s
a
in
ti
m
e
a
n
d
f
r
eq
u
en
c
y
d
o
m
a
in
.
B
ased
o
n
th
e
co
m
p
ar
i
s
o
n
o
f
ac
o
u
s
t
ic
s
ig
n
al
s
an
d
v
ib
r
atio
n
s
ig
n
al
s
,
t
h
e
d
iag
n
o
s
t
ic
o
f
o
u
ter
r
ac
e
d
ef
ec
t
an
d
m
i
s
ali
g
n
m
e
n
t
f
r
o
m
est
i
m
a
ted
s
p
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tr
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m
o
f
̂
2
an
d
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3
is
in
d
icate
d
as sa
m
e
as
v
i
b
r
atio
n
s
p
ec
tr
u
m
o
f
B
2
an
d
B
3
.
ACK
NO
WL
E
D
G
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M
E
N
TS
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h
e
au
th
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ia
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id
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t f
o
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th
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p
u
b
lica
tio
n
.
RE
F
E
R
E
NC
E
S
[1
]
Ba
lers
to
n
,
H.
L
,
“
T
h
e
d
e
tec
ti
o
n
o
f
in
c
ip
ien
t
f
a
il
u
re
in
b
e
a
rin
g
s,
”
M
a
ter
ia
ls
Eva
lu
a
ti
o
n
,
Vo
l
2
7
,
1
2
1
-
1
2
8
,
1
9
6
9
.
[2
]
L
e
b
a
ro
u
d
,
A
b
d
e
ss
e
la
m
,
a
n
d
G
u
y
Cler
c
,
"
Dia
g
n
o
sis
o
f
i
n
d
u
c
ti
o
n
mo
t
o
r
fa
u
lt
s
u
sin
g
in
st
a
n
t
a
n
e
o
u
s
fre
q
u
e
n
c
y
sig
n
a
tu
re
a
n
a
lys
is,
"
1
8
t
h
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
on
El
e
c
tri
c
a
l
M
a
c
h
in
e
IEE
E
,
2
0
0
8
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
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I
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N:
2
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8
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Mu
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[3
]
Ay
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,
E
m
in
e
,
e
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a
l,
"
F
a
u
lt
d
e
tec
ti
o
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b
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se
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o
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c
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ti
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let
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sf
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"
COM
PE
L
-
T
h
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in
ter
n
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ti
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n
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l
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o
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r co
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ma
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ma
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s in
e
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n
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e
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tro
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in
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rin
g
2
8
.
2
(2
0
0
9
):
4
5
4
-
4
7
0
.
[4
]
W
a
n
g
,
Ch
a
n
g
q
in
g
,
e
t
a
l
,
"
F
a
u
lt
d
iag
n
o
sis
b
a
se
d
o
n
p
u
lse
c
o
u
p
led
n
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u
ra
l
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e
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rk
a
n
d
p
ro
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a
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li
ty
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ra
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,
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Exp
e
rt S
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ms
wit
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A
p
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s
3
8
.
1
1
(2
0
1
1
):
1
4
3
0
7
-
1
4
3
1
3
.
[5
]
Co
m
o
n
,
P
i
e
rre
,
a
n
d
Ch
risti
a
n
Ju
tt
e
n
,
e
d
s,
“
Ha
n
d
b
o
o
k
o
f
Bl
i
n
d
S
o
u
r
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e
S
e
p
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ra
ti
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:
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d
e
p
e
n
d
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t
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lys
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d
a
p
p
l
ica
ti
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n
s
,
”
A
c
a
d
e
m
ic p
re
s
s,
2
0
1
0
.
[6
]
M
.
Zi
b
u
lev
sk
y
,
“
Rela
ti
v
e
Ne
wto
n
me
th
o
d
fo
r
q
u
a
si
-
M
L
b
li
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d
so
u
rc
e
se
p
a
ra
ti
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n
,
”
I
n
P
r
o
c
.
4
th
I
n
tern
.
S
y
m
p
.
o
n
In
d
e
p
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d
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t
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n
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n
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ig
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e
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ra
ti
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A
2
0
0
3
),
p
a
g
e
s 8
9
7
{
9
0
2
,
Na
ra
,
Ja
p
a
n
,
2
0
0
3
.
[7
]
A
.
Be
lo
u
c
h
ra
n
i,
K.
A
b
e
d
-
M
e
ra
im
,
M
.
G
.
Am
in
a
n
d
A
.
M
.
Zo
u
b
ir,
"
Jo
in
t
a
n
ti
-
d
iag
o
n
a
li
z
a
ti
o
n
f
o
r
b
li
n
d
so
u
rc
e
se
p
a
ra
ti
o
n
,
"
Aco
u
stics
,
S
p
e
e
c
h
,
a
n
d
S
ig
n
a
l
Pr
o
c
e
ss
in
g
,
2
0
0
1
.
Pro
c
e
e
d
in
g
s.
(
ICAS
S
P
'
0
1
).
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0
0
1
IEE
E
In
ter
n
a
ti
o
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a
l
Co
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e
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o
n
,
S
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lt
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k
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Cit
y
,
U
T
,
2
0
0
1
,
p
p
.
2
7
8
9
-
2
7
9
2
v
o
l.
5
.
[8
]
Cu
i,
L
in
g
li
,
e
t
a
l
,
"
Dia
g
n
o
sis
o
f
Ro
ll
e
r
Be
a
rin
g
s
Co
m
p
o
u
n
d
F
a
u
lt
Us
in
g
Un
d
e
rd
e
term
in
e
d
Bli
n
d
S
o
u
rc
e
S
e
p
a
ra
ti
o
n
A
l
g
o
rit
h
m
Ba
se
d
o
n
Nu
l
l
-
S
p
a
c
e
P
u
rsu
it
,
"
S
h
o
c
k
a
n
d
V
ib
ra
ti
o
n
,
2
0
1
5
.
[9
]
A
.
A
.
V
i
n
a
y
a
a
n
d
D.
A
rif
ian
to
,
"
Un
d
e
rd
e
ter
min
e
d
b
li
n
d
so
u
rc
e
se
p
a
ra
t
io
n
b
a
se
d
c
o
n
d
it
i
o
n
mo
n
it
o
ri
n
g
,
"
2
0
1
5
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
S
c
ie
n
c
e
in
I
n
f
o
rm
a
ti
o
n
T
e
c
h
n
o
l
o
g
y
(I
CS
IT
e
c
h
)
,
Y
o
g
y
a
k
a
rta
,
2
0
1
5
,
p
p
.
4
7
-
5
2.
[1
0
]
M
ü
ll
e
r,
T
h
o
rste
n
,
e
t
a
l
,
"
F
a
u
lt
De
tec
ti
o
n
w
it
h
Qu
a
li
tativ
e
M
o
d
e
ls
re
d
u
c
e
d
b
y
M
u
lt
i
-
w
a
y
a
rra
y
De
c
o
m
p
o
siti
o
n
m
e
th
o
d
s,
"
IFA
C
-
P
a
p
e
rs
On
L
i
n
e
4
8
.
2
1
(
2
0
1
5
):
4
1
6
-
4
2
1
.
[1
1
]
Nio
n
,
Dim
it
ri.
(2
0
1
0
)
,
“
Ba
tch
a
n
d
A
d
a
p
ti
v
e
P
A
R
A
F
A
C
-
Ba
se
d
Bli
n
d
S
e
p
a
ra
ti
o
n
o
f
Co
n
v
o
lu
ti
v
e
S
p
e
e
c
h
M
ix
tu
re
s,”
IEE
E
T
ra
n
sa
c
ti
o
n
s On
A
u
d
i
o
,
S
p
e
e
c
h
,
A
n
d
L
a
n
g
u
a
g
e
P
r
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c
e
ss
in
g
,
V
o
l
.
1
8
,
N
o
.
6
.
[1
2
]
Co
n
d
it
io
n
m
o
n
i
t
o
rin
g
T
e
a
m
.
V
ib
r
a
ti
o
n
trai
n
in
g
c
o
u
rse
b
o
o
k
,
M
o
b
iu
s In
stit
u
te,
2
0
0
5
.
[1
3
]
F
e
lt
e
n
,
Da
v
e
,
"
Un
d
e
rsta
n
d
in
g
b
e
a
rin
g
v
ib
ra
ti
o
n
f
re
q
u
e
n
c
ies
,
"
El
e
c
tri
c
a
l
A
p
p
a
r
a
tu
s S
e
rv
ice
A
s
so
c
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n
(EA
S
A
),
S
t.
L
o
u
is,
M
O,
2
0
0
3
.
[1
4
]
F
re
u
d
e
n
b
e
rg
e
r,
J.,
S
te
n
z
e
l,
S
.
,
&
V
e
n
d
it
ti
,
B.
(
2
0
1
0
),
“
M
icro
p
h
o
n
e
d
iv
e
rsity
c
o
m
b
in
in
g
f
o
r
in
-
c
a
r
a
p
p
li
c
a
ti
o
n
s,”
EURA
S
IP
J
o
u
rn
a
l
o
n
Ad
v
a
n
c
e
s i
n
S
i
g
n
a
l
Pr
o
c
e
ss
in
g
,
v
o
l
5
.
B
I
O
G
RAP
H
I
E
S
O
F
AUTH
O
RS
An
in
d
ita
A
d
i
k
a
p
u
t
r
i
V
in
a
y
a
re
c
e
iv
e
d
a
m
a
ste
r’s
d
e
g
re
e
in
e
n
g
i
n
e
e
rin
g
p
h
y
sic
s
f
ro
m
In
stit
u
t
T
e
k
n
o
lo
g
i
S
e
p
u
lu
h
No
p
e
m
b
e
r
,
S
u
ra
b
a
y
a
in
2
0
1
5
.
He
r
r
e
se
a
rc
h
f
o
c
u
s
o
n
a
c
o
u
stic
se
p
a
ra
ti
o
n
&
lo
c
a
li
z
a
ti
o
n
,
in
str
u
m
e
n
tatio
n
a
n
d
risk
m
a
n
a
g
e
m
e
n
t.
S
h
e
is
p
re
se
n
tl
y
w
o
rk
in
g
a
s
lec
tu
re
r
in
Un
iv
e
rsitas
In
tern
a
sio
n
a
l
S
e
m
e
n
In
d
o
n
e
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.
Dh
a
n
y
Ar
ifi
a
n
to
c
o
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p
lete
d
a
b
a
c
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f
ro
m
In
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e
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n
o
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S
e
p
u
l
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h
No
p
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e
r,
S
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ra
b
a
y
a
.
H
e
re
c
e
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e
d
M
.
En
g
d
e
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in
2
0
0
2
a
n
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Dr.
En
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f
ro
m
T
o
k
y
o
In
stit
u
te
o
f
T
e
c
h
n
o
lo
g
y
.
His
re
se
a
rc
h
in
tere
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re
late
d
to
d
ig
it
a
l
sig
n
a
l
p
ro
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e
ss
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g
a
n
d
c
o
n
v
e
x
o
p
ti
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iza
ti
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n
.
He
h
a
s
se
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e
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u
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n
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o
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tern
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is
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n
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c
ti
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e
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e
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h
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a
n
d
IEE
E.
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h
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s
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lso
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e
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