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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
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m
m
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n
C
o
m
p
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C
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tr
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, V
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24
,
No
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2
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A
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20
26
:
7
1
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-
726
718
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s
ec
o
n
d
o
n
e
p
r
o
v
id
es
a
b
etter
d
is
p
la
y
b
y
r
e
p
r
esen
tin
g
t
h
e
s
ig
n
al
f
r
eq
u
e
n
c
ies
o
b
tain
ed
u
s
i
n
g
t
h
e
R
OOT
-
AR
ap
p
r
o
ac
h
[
1
5
]
.
T
h
is
ap
p
r
o
ac
h
is
r
eliab
le
i
n
t
h
e
ca
s
e
o
f
s
tatio
n
ar
y
s
ig
n
al
s
(
c
o
n
s
ta
n
t
f
r
eq
u
en
c
ies).
Ne
v
er
th
ele
s
s
,
it
is
l
i
m
ited
in
th
e
ca
s
e
w
h
er
e
th
e
f
r
eq
u
e
n
cie
s
v
ar
y
o
v
er
t
i
m
e
;
t
h
is
is
t
h
e
ca
s
e
o
f
a
lo
ad
v
ar
iatio
n
o
r
a
v
ar
i
ab
le
s
p
ee
d
d
r
iv
e.
I
n
th
is
ca
s
e,
th
e
elec
tr
ical
s
ig
n
al
s
b
ec
o
m
e
n
o
n
-
s
tatio
n
ar
y
(
v
ar
ia
b
le
f
r
eq
u
en
cie
s
)
.
Sev
er
al
tec
h
n
iq
u
es
ad
d
r
ess
t
h
e
p
r
o
b
lem
o
f
t
h
e
an
al
y
s
i
s
u
n
d
er
n
o
n
-
s
tatio
n
ar
y
co
n
d
itio
n
s
.
T
h
e
b
asic
tech
n
iq
u
e
i
n
th
e
a
n
al
y
s
i
s
o
f
n
o
n
-
s
tatio
n
ar
y
s
i
g
n
als
i
s
th
e
s
h
o
r
t
ti
m
e
f
o
u
r
ier
tr
an
s
f
o
r
m
(
ST
FT
)
[
1
6
]
,
[
1
7
]
also
k
n
o
w
n
f
o
r
its
li
m
ited
ti
m
e
-
f
r
e
q
u
en
c
y
r
eso
l
u
tio
n
.
Ot
h
er
tech
n
iq
u
e
s
s
u
c
h
as
d
is
cr
ete
w
av
el
et
tr
an
s
f
o
r
m
(
DW
T
)
[
1
8
]
,
W
ig
n
er
-
V
ille
d
is
tr
ib
u
t
io
n
(
W
VD)
[
1
9
]
,
m
in
i
m
u
m
n
o
r
m
s
p
ec
tr
al
esti
m
at
io
n
tech
n
iq
u
e
[
2
0
]
,
d
em
o
d
u
latio
n
tech
n
iq
u
e
[
2
1
]
o
r
em
p
ir
ical
m
o
d
e
d
ec
o
m
p
o
s
itio
n
(
E
MD
)
[
2
2
]
p
r
esen
t
in
t
er
esti
n
g
r
es
u
lts
b
u
t
w
it
h
d
r
a
w
b
ac
k
s
r
elate
d
to
th
e
co
m
p
lex
it
y
o
f
i
m
p
le
m
e
n
tat
io
n
an
d
h
ig
h
co
m
p
u
tatio
n
ti
m
e.
A
ls
o
,
th
e
r
esu
lti
n
g
ti
m
e
-
f
r
eq
u
en
c
y
s
p
ec
tr
u
m
i
s
o
f
te
n
d
if
f
ic
u
lt
to
r
ea
d
an
d
to
d
is
cu
s
s
.
Mo
r
eo
v
er
,
s
ev
er
al
ar
tif
icia
l
in
te
lli
g
en
c
e
(
AI
)
-
b
ased
d
iag
n
o
s
tic
m
et
h
o
d
s
ar
e
p
r
esen
te
d
in
[
2
3
]
in
o
r
d
er
to
ac
h
iev
e
a
class
i
f
icatio
n
o
f
m
u
lti
p
le
f
a
u
lt
s
.
Nev
er
th
e
less
,
th
e
s
e
A
I
tech
n
i
q
u
es
b
ased
o
n
m
ac
h
in
e
l
ea
r
n
i
n
g
al
g
o
r
ith
m
s
n
ee
d
s
a
lar
g
e
d
atab
ase
n
ec
ess
ar
y
to
th
e
lear
n
i
n
g
p
r
o
ce
d
u
r
e.
T
o
o
v
er
co
m
e
t
h
ese
p
r
o
b
le
m
s
,
th
e
s
h
o
r
t
ti
m
e
R
OOT
-
A
R
ap
p
r
o
ac
h
is
ap
p
lied
in
th
e
an
al
y
s
is
o
f
n
o
n
-
s
tatio
n
ar
y
s
i
g
n
als.
I
n
t
h
is
ai
m
,
th
e
n
o
n
-
s
tat
io
n
ar
y
s
i
g
n
al
is
d
ec
o
m
p
o
s
ed
i
n
to
s
h
o
r
t
s
eg
m
e
n
ts
w
h
i
le
ap
p
l
y
i
n
g
th
e
R
OOT
-
AR
ap
p
r
o
ac
h
o
n
e
ac
h
s
e
g
m
e
n
t,
t
h
is
ad
ap
tatio
n
ai
m
s
to
o
b
tain
a
ti
m
e
-
f
r
eq
u
en
c
y
s
p
ec
tr
u
m
w
h
er
e
f
r
eq
u
en
c
y
v
ar
iatio
n
s
o
v
er
ti
m
e
ca
n
b
e
o
b
s
er
v
ed
.
I
n
d
ee
d
,
s
in
ce
th
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
is
b
ased
o
n
th
e
ST
FT
p
r
in
cip
le,
th
e
w
in
d
o
w
s
ize
w
i
d
th
is
f
ix
ed
i
n
o
r
d
er
to
r
ed
u
ce
th
e
co
m
p
lex
it
y
o
f
th
e
alg
o
r
it
h
m
(
in
co
m
p
ar
is
o
n
w
it
h
DW
T
f
o
r
ex
a
m
p
le)
.
I
n
t
h
e
o
th
er
h
a
n
d
,
th
e
f
o
u
r
ier
co
m
p
u
tat
io
n
is
r
ep
lace
d
w
it
h
R
OOT
-
AR
s
p
ec
tr
u
m
w
h
ic
h
i
m
p
r
o
v
e
s
th
e
f
r
eq
u
e
n
c
y
r
eso
lu
tio
n
a
n
d
th
e
r
ea
d
ab
ilit
y
o
f
th
e
s
p
ec
tr
u
m
.
Als
o
,
th
e
a
n
al
y
s
i
s
o
v
er
a
li
m
ited
f
r
eq
u
en
c
y
b
an
d
lead
s
to
a
r
ed
u
ce
d
co
m
p
u
ta
tio
n
ti
m
e
allo
w
i
n
g
a
r
ea
l
-
ti
m
e
d
iag
n
o
s
i
s
.
I
n
ad
d
itio
n
,
s
ev
er
al
f
a
u
lt
s
o
p
er
atin
g
s
i
m
u
lt
a
n
eo
u
s
l
y
ar
e
i
d
en
tifie
d
in
th
e
ca
s
e
o
f
n
o
n
-
s
tat
io
n
ar
y
s
ig
n
al
s
(
w
it
h
a
v
ar
iab
le
f
u
n
d
a
m
en
tal
f
r
eq
u
e
n
c
y
n
ec
ess
ar
y
f
o
r
s
p
ee
d
v
ar
iatio
n
)
.
Mo
r
e
o
v
er
,
th
is
v
ar
iatio
n
i
s
ac
h
iev
ed
u
s
i
n
g
a
p
u
ls
e
w
id
th
m
o
d
u
latio
n
(
P
W
M
)
in
v
er
ter
,
w
h
ic
h
in
cr
ea
s
e
s
th
e
h
ar
m
o
n
ic
s
in
th
e
s
t
ato
r
cu
r
r
en
t
s
p
ec
tr
u
m
a
n
d
,
co
n
s
eq
u
e
n
tl
y
,
t
h
e
n
o
is
e.
T
h
e
d
is
ti
n
cti
v
e
f
ea
t
u
r
e
o
f
th
e
s
h
o
r
t
ti
m
e
R
OOT
-
AR
is
t
h
e
ad
ap
tatio
n
o
f
th
e
R
OOT
-
AR
m
et
h
o
d
(
r
o
b
u
s
t
ag
a
in
s
t
n
o
is
e
co
m
p
ar
ed
to
f
o
u
r
ier
an
al
y
s
i
s
:
FT
an
d
S
T
FT)
in
th
e
an
al
y
s
is
o
f
n
o
n
-
s
tat
io
n
ar
y
s
ig
n
al
s
.
Fin
al
y
,
t
h
e
r
es
u
lti
n
g
ti
m
e
-
f
r
eq
u
e
n
c
y
s
p
ec
tr
u
m
is
ea
s
y
to
r
ea
d
th
an
k
s
to
th
e
r
o
b
u
s
tn
e
s
s
o
f
t
h
e
R
OOT
-
AR
ag
ai
n
s
t
n
o
is
y
s
ig
n
als
(
d
u
e
to
th
e
P
W
M
in
v
er
ter
)
.
T
o
v
er
if
y
th
e
e
f
f
ec
tiv
e
n
e
s
s
o
f
th
e
SHOR
T
T
I
ME
R
OOT
-
A
R
i
n
th
e
an
al
y
s
is
o
f
s
ig
n
al
s
in
th
e
p
r
esen
ce
o
f
m
u
l
tip
le
f
a
u
lt
s
u
n
d
er
n
o
n
-
s
tatio
n
a
r
y
o
p
er
atio
n
ca
s
es,
th
e
d
iag
n
o
s
is
o
f
b
ea
r
in
g
f
a
u
lt
s
,
ec
ce
n
tr
icit
y
f
a
u
lt
s
an
d
b
r
o
k
en
r
o
to
r
b
a
r
s
f
au
lts
i
n
v
ar
ia
b
le
s
p
ee
d
in
d
u
ctio
n
m
o
to
r
is
ac
h
ie
v
ed
th
r
o
u
g
h
ex
p
er
i
m
en
tal
test
s
.
2.
F
AULT
D
I
A
G
NO
S
I
S T
H
E
O
RY
Du
e
to
th
e
r
ich
in
f
o
r
m
at
io
n
co
n
t
en
t
o
f
th
e
s
tato
r
cu
r
r
en
t
s
p
ec
tr
u
m
,
s
e
v
er
al
r
esear
ch
s
t
u
d
ies
h
a
v
e
d
em
o
n
s
tr
ated
th
at
it
s
an
al
y
s
i
s
co
n
s
tit
u
tes
a
n
ef
f
ec
ti
v
e
to
o
l
n
o
t
o
n
l
y
f
o
r
th
e
d
etec
tio
n
,
b
u
t
also
f
o
r
th
e
id
en
ti
f
icatio
n
o
f
f
a
u
lt
s
af
f
ec
ti
n
g
i
n
d
u
ctio
n
m
o
to
r
s
.
T
h
is
id
e
n
ti
f
icatio
n
ca
p
ab
ilit
y
is
ess
e
n
t
iall
y
b
ased
o
n
th
e
p
r
ec
is
e
m
o
n
ito
r
in
g
o
f
t
h
e
f
r
eq
u
en
c
y
p
o
s
it
io
n
s
o
f
ce
r
tai
n
h
ar
m
o
n
ic
co
m
p
o
n
e
n
ts
,
as
w
e
ll a
s
th
e
a
n
al
y
s
i
s
o
f
th
e
ir
r
esp
ec
tiv
e
a
m
p
l
itu
d
es,
t
h
u
s
m
ak
in
g
it
p
o
s
s
ib
le
to
id
en
ti
f
y
th
e
n
atu
r
e
o
f
th
e
s
ea
r
ch
ed
f
a
u
lt
[
2
4
]
.
I
n
th
is
p
ap
er
,
m
u
ltip
le
f
au
lts
a
m
o
n
g
m
o
s
t
r
ec
u
r
r
en
t
f
au
lts
ar
e
in
v
est
ig
a
ted
u
s
i
n
g
e
x
p
er
i
m
e
n
tal
te
s
ts
.
T
h
ese
f
a
u
lt
s
ar
e
p
r
esen
ted
in
t
h
e
f
o
llo
w
i
n
g
s
ec
t
io
n
.
2
.
1
.
B
ro
k
en
ro
t
o
r
ba
rs
Ma
n
u
f
ac
t
u
r
i
n
g
f
au
l
ts
,
p
o
r
o
s
ity
i
n
m
a
ter
ials
,
m
ec
h
a
n
ical
o
v
er
lo
ad
s
,
an
d
g
ea
r
d
am
ag
e
ar
e
a
m
o
n
g
th
e
m
ai
n
ca
u
s
e
s
o
f
r
o
to
r
b
ar
b
r
ea
k
ag
e.
W
h
e
n
o
n
e
o
r
m
o
r
e
r
o
to
r
b
a
r
s
a
r
e
b
r
o
k
en
,
th
e
elec
tr
o
m
ec
h
a
n
ical
s
tr
ess
e
s
ap
p
lied
o
n
ad
j
ac
en
t
b
ar
s
ca
n
lead
to
r
a
p
id
p
r
o
p
ag
atio
n
o
f
th
e
d
am
a
g
e.
I
n
ce
r
tain
cr
itical
c
ases
,
th
i
s
ca
n
lead
to
ca
tast
r
o
p
h
ic
m
o
to
r
f
a
ilu
r
e,
p
a
r
ticu
lar
l
y
if
b
ar
f
r
a
g
m
en
ts
d
et
ac
h
f
r
o
m
th
e
ca
g
e
d
u
r
i
n
g
o
p
er
atio
n
[
2
5
]
.
T
h
u
s
,
r
o
to
r
b
ar
b
r
ea
k
ag
e
r
esu
lts
i
n
t
h
e
o
cc
u
r
r
en
ce
o
f
a
s
er
ies o
f
f
r
e
q
u
en
cie
s
ca
lcu
lated
u
s
i
n
g
(
1
)
.
=
(
1
±
2
)
w
it
h
=
1
,
2
,
3
…
(
1
)
Evaluation Warning : The document was created with Spire.PDF for Python.
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o
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ia
g
n
o
s
is
a
n
d
p
r
o
g
n
o
s
tic
in
in
d
u
ctio
n
mo
to
r
d
r
ives u
n
d
er
…
(
A
meu
r
F
eth
i A
imer
)
719
w
h
er
e:
is
th
e
s
u
p
p
l
y
f
r
eq
u
e
n
c
y
,
d
en
o
tes
th
e
s
id
eb
an
d
f
r
eq
u
en
cie
s
ass
o
ciate
d
w
i
th
th
e
r
o
to
r
b
r
o
k
en
b
ar
f
au
lt,
an
d
f
i
n
all
y
r
ep
r
esen
ts
th
e
m
o
to
r
s
lip
.
2
.
2
.
E
cc
ent
ricit
y
f
a
ults
I
n
in
d
u
ct
io
n
m
o
to
r
s
,
r
esid
u
al
ec
ce
n
tr
icit
y
i
s
in
e
v
itab
le,
ev
en
w
h
e
n
th
e
m
o
to
r
is
n
e
w
.
E
cc
en
tr
icit
y
f
au
lts
,
ca
u
s
ed
b
y
a
v
ar
iatio
n
i
n
th
e
air
g
ap
,
ca
u
s
e
v
ib
r
atio
n
s
an
d
d
a
m
ag
e
to
th
e
b
ea
r
in
g
s
,
w
h
ich
ca
n
lead
to
r
o
to
r
-
s
tato
r
co
n
tact.
T
h
ey
ar
e
d
iv
id
ed
in
to
th
r
ee
t
y
p
e
s
: static
,
d
y
n
a
m
ic,
an
d
m
i
x
ed
.
I
n
th
e
p
r
esen
ce
o
f
s
ta
tic
ec
ce
n
tr
icit
y
,
t
h
e
ar
ea
o
f
t
h
e
s
m
a
lle
s
t
air
g
ap
r
e
m
ai
n
s
f
i
x
ed
d
u
r
i
n
g
r
o
tatio
n
.
T
h
is
t
y
p
e
o
f
ec
ce
n
tr
icit
y
g
e
n
er
all
y
r
es
u
lt
s
f
r
o
m
i
m
p
r
o
p
er
r
o
to
r
ass
e
m
b
l
y
o
r
d
ef
o
r
m
atio
n
o
f
th
e
s
tato
r
co
r
e
(
o
v
aliza
tio
n
)
.
I
n
co
n
tr
ast
,
d
y
n
a
m
ic
ec
ce
n
tr
icit
y
is
ch
ar
ac
t
er
ized
b
y
a
m
is
al
i
g
n
m
en
t
b
etw
ee
n
t
h
e
g
eo
m
etr
i
c
ce
n
ter
o
f
t
h
e
r
o
to
r
an
d
it
s
ax
i
s
o
f
r
o
tatio
n
,
w
h
ic
h
ca
u
s
e
s
t
h
e
p
o
s
itio
n
o
f
th
e
m
i
n
i
m
u
m
ai
r
g
ap
p
o
in
t
to
v
ar
y
d
u
r
in
g
r
o
tatio
n
.
T
h
is
p
h
en
o
m
en
o
n
ca
n
b
e
ca
u
s
ed
b
y
f
ac
to
r
s
s
u
ch
as
r
eso
n
an
ce
at
a
cr
itica
l
s
p
ee
d
,
r
o
to
r
s
h
af
t
d
ef
lecti
o
n
,
b
ea
r
in
g
w
ea
r
,
o
r
m
is
a
lig
n
m
e
n
t.
I
f
b
o
th
s
tatic
a
n
d
d
y
n
a
m
ic
ec
ce
n
tr
icit
y
ar
e
p
r
esen
t
at
t
h
e
s
a
m
e
ti
m
e,
a
lo
w
-
f
r
eq
u
e
n
c
y
co
m
p
o
n
en
t is
f
o
r
m
ed
n
ea
r
t
h
e
m
ai
n
f
r
eq
u
en
c
y
,
e
x
p
r
ess
ed
b
y
(
2
)
[
2
6
]
.
=
⋅
(
1
±
1
−
)
(
2
)
2
.
3
.
B
ea
ring
f
a
ults
B
ea
r
in
g
s
ar
e
d
esig
n
ed
as
an
elec
tr
o
m
ec
h
a
n
ical
i
n
ter
f
ac
e
b
et
w
ee
n
th
e
r
o
to
r
an
d
th
e
s
tato
r
o
f
elec
tr
ic
m
ac
h
in
e
s
.
I
n
ad
d
itio
n
,
th
e
y
m
ain
tai
n
th
e
s
h
a
f
t
o
f
th
e
m
ac
h
i
n
e
in
o
r
d
er
to
g
u
ar
an
tee
a
p
r
o
p
er
r
o
tatio
n
o
f
th
e
r
o
to
r
.
T
h
e
r
o
llin
g
-
ele
m
en
t
b
ea
r
in
g
s
co
n
s
i
s
t
o
f
f
o
u
r
p
a
r
ts
:
in
n
er
an
d
o
u
ter
r
ac
es,
b
alls
an
d
ca
g
e
w
h
ic
h
g
u
ar
a
n
tees
a
n
eq
u
id
i
s
tan
t
s
e
p
ar
atio
n
b
et
w
ee
n
b
alls
.
B
ea
r
in
g
f
a
u
lt
s
ca
n
b
e
lo
ca
ted
o
n
th
e
s
tato
r
cu
r
r
e
n
t
s
p
ec
tr
u
m
at
t
h
e
f
o
llo
w
in
g
f
r
eq
u
en
ci
e
s
[
2
7
]
.
[
Hz
]
=
|
±
⋅
|
w
it
h
=
1
,
2
,
3
…
(
3
)
w
h
er
e
is
t
h
e
f
au
lt
v
ib
r
atio
n
al
f
r
eq
u
en
c
y
co
r
r
esp
o
n
d
in
g
to
o
n
e
o
f
t
h
e
f
au
lts
th
at
ca
n
b
e
o
b
s
e
r
v
ed
o
n
b
ea
r
in
g
s
ele
m
e
n
t
(
in
n
er
r
ac
e,
o
u
ter
r
ac
e,
b
all
o
r
ca
g
e)
,
w
h
ile
is
th
e
s
u
p
p
l
y
f
r
eq
u
en
c
y
.
In
th
i
s
p
ap
er
,
th
e
o
u
ter
r
ac
e
f
au
lt
i
s
co
n
s
id
er
ed
as
t
h
e
s
elec
ted
b
ea
r
in
g
f
a
u
lt
.
T
h
e
c
h
ar
ac
te
r
is
tic
f
r
eq
u
en
c
y
in
th
e
ca
s
e
o
f
an
o
u
ter
r
ac
e
f
a
u
lt
is
g
i
v
e
n
b
y
th
e
f
r
eq
u
e
n
c
y
:
=
2
(
1
−
)
(
4
)
w
h
er
e
an
d
r
esp
ec
tiv
el
y
,
ar
e
th
e
b
all
an
d
th
e
ca
g
e
d
ia
m
et
er
s
,
is
th
e
b
ea
r
in
g
b
alls
n
u
m
b
er
,
is
a
co
n
tact
an
g
le
an
d
th
e
m
ec
h
a
n
ical
r
o
to
r
f
r
eq
u
en
c
y
.
3.
AUTOR
E
G
RE
SS
I
V
E
M
O
DE
L
O
F
S
T
A
T
O
R
C
URRE
N
T
T
h
e
s
p
ec
tr
u
m
o
f
s
tato
r
cu
r
r
en
t
is
co
m
p
o
s
ed
o
f
th
e
f
o
llo
w
in
g
f
r
eq
u
en
c
ies [
1
5
]
:
−
Su
p
p
l
y
f
r
eq
u
e
n
c
y
:
−
T
im
e
h
ar
m
o
n
ic
s
ca
u
s
ed
b
y
th
e
s
u
p
p
l
y
p
o
llu
t
io
n
: (
2
+
1
)
−
Har
m
o
n
ic
s
d
u
e
to
ec
ce
n
tr
icit
y
lo
ca
ted
ar
o
u
n
d
th
e
f
u
n
d
a
m
e
n
t
al
−
Sp
ac
e
h
ar
m
o
n
ics
d
u
e
to
n
o
n
-
s
i
n
u
s
o
id
al
d
is
tr
ib
u
tio
n
o
f
w
i
n
d
in
g
s
T
h
er
ef
o
r
e,
th
e
s
tato
r
cu
r
r
en
t c
an
b
e
p
r
esen
ted
as a
s
u
m
o
f
tr
i
g
o
n
o
m
e
tr
ic
f
u
n
c
tio
n
s
g
i
v
e
n
b
y
:
(
)
=
∑
=
1
(
2
+
)
+
(
)
(
5
)
w
h
er
e
,
,
ar
e
r
esp
ec
tiv
el
y
,
th
e
m
a
g
n
it
u
d
e,
f
r
eq
u
en
c
y
a
n
d
in
i
tial
v
alu
e
o
f
t
h
e
ℎ
co
s
in
e
p
h
ase,
b
ein
g
th
e
n
u
m
b
er
o
f
h
ar
m
o
n
ics,
(
)
is
t
h
e
m
ea
s
u
r
e
m
e
n
t n
o
i
s
e.
Usi
n
g
t
h
e
E
u
ler
’
s
d
ec
o
m
p
o
s
iti
o
n
,
th
e
n
u
m
er
ical
ex
p
r
ess
io
n
o
f
s
tato
r
cu
r
r
en
t
o
f
(
5
)
ca
n
b
e
p
r
esen
te
d
as a
s
u
m
o
f
2
.
co
m
p
le
x
ex
p
o
n
e
n
tials
g
iv
e
n
b
y
:
(
)
=
∑
2
.
(
2
+
)
2
=
1
+
(
)
(
6
)
w
it
h
=
0
,
1
,
2
,
.
.
.
,
−
1
w
h
er
e
is
th
e
n
u
m
b
er
o
f
s
a
m
p
les
n
u
m
b
er
an
d
is
th
e
s
a
m
p
lin
g
f
r
eq
u
en
c
y
.
As
a
m
atter
o
f
f
ac
t,
th
e
AR
m
o
d
el
is
co
n
s
id
er
ed
as
an
all
-
p
o
le
f
ilter
w
it
h
a
w
h
ite
n
o
i
s
e
as
an
in
p
u
t
an
d
a
v
ar
ian
ce
eq
u
a
l to
2
[
2
7
]
.
T
h
e
A
R
m
o
d
el
o
f
s
tato
r
cu
r
r
e
n
t is
g
i
v
en
b
y
t
h
e
f
o
ll
o
w
in
g
d
i
f
f
er
en
ce
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
, V
o
l.
24
,
No
.
2
,
A
p
r
il
20
26
:
7
1
7
-
726
720
(
)
=
(
)
−
̂
(
)
=
(
)
+
∑
̂
(
−
)
=
1
(
7
)
T
h
er
ef
o
r
e,
th
e
tr
an
s
f
er
f
u
n
ct
io
n
o
f
t
h
e
s
y
s
te
m
is
e
x
p
r
ess
ed
b
y
:
(
)
=
1
1
+
∑
̂
−
=
1
(
8
)
w
h
er
e
r
ep
r
esen
ts
th
e
o
r
d
er
o
f
th
e
A
R
m
o
d
el,
(
)
th
e
p
r
ed
ictio
n
er
r
o
r
illu
s
tr
ated
b
y
a
w
h
ite
n
o
is
e
an
d
â
r
ep
r
esen
t
th
e
f
ilter
co
ef
f
icie
n
t
s
o
b
tain
ed
b
y
m
i
n
i
m
izi
n
g
th
e
p
r
ed
ictio
n
er
r
o
r
(
)
.
T
h
e
p
o
w
er
s
p
ec
tr
al
d
en
s
it
y
(
P
SD)
o
f
th
e
AR
m
o
d
el
g
iv
e
n
in
(
8
)
,
lea
d
s
to
:
(
)
=
2
|
1
+
∑
̂
−
2
=
1
|
2
(
9)
4.
P
RO
P
O
SE
D
SH
O
RT
-
T
I
M
E
RO
O
T
-
AR
AP
P
RO
ACH
A
n
o
n
-
s
ta
tio
n
ar
y
s
i
g
n
al
i
s
ch
a
r
ac
ter
ized
b
y
f
r
eq
u
e
n
c
y
co
m
p
o
n
en
t
s
v
ar
y
in
g
o
v
er
ti
m
e.
C
o
n
s
eq
u
en
tl
y
,
th
e
f
a
u
lt
s
i
g
n
atu
r
e
s
,
d
ep
en
d
in
g
o
n
th
e
s
u
p
p
l
y
f
r
eq
u
e
n
c
y
,
al
s
o
v
ar
y
o
v
er
ti
m
e,
th
u
s
lead
i
n
g
to
an
in
e
f
f
ec
ti
v
e
f
au
lt
d
etec
tio
n
p
r
o
ce
s
s
.
T
o
s
o
l
v
e
th
i
s
p
r
o
b
lem
an
d
to
b
e
ab
le
to
in
tr
o
d
u
ce
th
e
n
o
tio
n
o
f
ti
m
e
in
to
th
e
r
esu
lti
n
g
s
p
ec
tr
u
m
,
t
h
e
a
n
al
y
s
i
s
m
u
s
t b
e
s
h
i
f
ted
to
a
ti
m
e
-
f
r
eq
u
e
n
c
y
p
l
an
e.
Fo
r
th
i
s
,
th
e
R
OOT
-
AR
a
p
p
r
o
ac
h
is
ad
ap
ted
to
th
e
a
n
al
y
s
is
o
f
n
o
n
-
s
ta
ti
o
n
ar
y
s
i
g
n
als
in
s
p
ir
ed
f
r
o
m
th
e
ST
FT
d
ev
elo
p
ed
in
o
u
r
p
r
ev
io
u
s
w
o
r
k
s
.
Fu
r
t
h
er
m
o
r
e,
s
in
ce
t
h
e
ST
FT
is
b
ased
o
n
th
e
ca
lcu
latio
n
o
f
t
h
e
f
o
u
r
ier
tr
an
s
f
o
r
m
,
it
p
r
ese
n
ts
p
r
o
b
lem
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s
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6.
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s
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p
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e
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n
tio
n
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pe
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g
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m
b
as
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n
f
o
u
r
ier
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s
f
o
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m
tec
h
n
iq
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e
is
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i
g
h
li
g
h
ted
.
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r
eo
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er
,
in
th
e
ai
m
o
f
ad
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tin
g
t
h
e
R
OOT
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ap
p
r
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ac
h
to
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e
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a
l
y
s
i
s
o
f
n
o
n
-
s
tatio
n
ar
y
s
i
g
n
a
ls
,
a
v
ar
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n
t
o
f
R
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-
AR
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lled
s
h
o
r
t
-
ti
m
e
R
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-
A
R
i
s
p
r
o
p
o
s
ed
.
T
h
is
ap
p
r
o
ac
h
h
a
s
b
ee
n
ap
p
lie
d
in
th
e
d
etec
tio
n
o
f
s
i
m
u
lta
n
eo
u
s
f
a
u
lts
i
n
th
e
ca
s
e
o
f
a
v
ar
iatio
n
o
f
th
e
s
u
p
p
l
y
f
r
eq
u
en
c
y
(
n
o
n
-
s
tatio
n
ar
y
s
i
g
n
als).
W
e
w
er
e
ab
le
to
ex
p
er
i
m
en
tall
y
v
er
i
f
y
t
h
e
e
f
f
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tiv
e
n
e
s
s
o
f
t
h
e
p
r
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p
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s
ed
a
p
p
r
o
ac
h
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d
s
ee
its
s
u
p
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it
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co
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p
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class
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pe
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d
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l
y
s
is
o
f
n
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n
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s
tatio
n
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y
s
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g
n
als.
Ho
w
ev
er
,
th
e
p
r
o
p
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s
ed
ap
p
r
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h
Evaluation Warning : The document was created with Spire.PDF for Python.
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24
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n
,
(UST
O
-
M
B).
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re
se
a
rc
h
in
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f
o
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d
it
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d
sig
n
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l
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ro
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g
m
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th
o
d
s.
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c
a
n
b
e
c
o
n
tac
te
d
a
t
e
m
a
il
:
k
o
u
d
jam
e
a
@
g
m
a
il
.
c
o
m
.
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e
d
d
i
n
e
B
e
n
d
ia
b
d
e
ll
a
h
(IE
E
E
M
’1
4
)
re
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d
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c
h
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r
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n
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g
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re
e
(Ho
n
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rs
c
las
s)
in
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e
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tri
c
a
l
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g
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ro
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th
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iv
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rsit
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h
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ff
ield
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n
g
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1
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n
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h
.
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d
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re
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ro
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th
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m
e
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iv
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rsit
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in
1
9
8
5
.
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is
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u
rre
n
tl
y
P
ro
f
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ss
o
r
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e
c
tu
re
r
a
n
d
Re
se
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rc
h
e
r
in
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lec
tri
c
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l
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n
g
in
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e
rin
g
a
n
d
t
h
e
Dire
c
to
r
o
f
b
o
t
h
th
e
L
DEE
lab
o
ra
to
ry
a
n
d
t
h
e
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g
n
o
stic
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ro
u
p
a
t
th
e
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iv
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rsity
o
f
S
c
ien
c
e
s
a
n
d
T
e
c
h
n
o
lo
g
y
o
f
Ora
n
(UST
OMB),
A
l
g
e
ria.
His
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
e
le
c
tri
c
a
l
m
a
c
h
in
e
s
a
n
d
d
riv
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s
a
n
a
ly
sis
a
n
d
m
o
d
e
ll
i
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g
,
e
lec
tri
c
a
l
m
a
c
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s
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n
d
d
riv
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s
c
o
n
tro
l,
e
lec
tri
c
a
l
m
a
c
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in
e
s
a
n
d
d
riv
e
s
d
iag
n
o
s
is
a
n
d
p
o
w
e
r
c
o
n
v
e
rter
d
e
tec
ti
o
n
f
a
u
lt
a
n
d
f
a
u
lt
t
o
ler
a
n
c
e
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
b
e
n
d
iaz
z
@y
a
h
o
o
.
f
r
.
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