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1.
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m
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s
[
1
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I
t
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f
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k
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[
2
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.
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f
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o
w
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f
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s
.
[
3
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.
Sev
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tech
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ic
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ar
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p
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5
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a
tr
a
n
s
f
o
r
m
er
-
les
s
g
r
id
-
tied
co
n
v
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ter
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s
i
n
g
(
P
W
M)
.
R
o
h
it
G.
R
a
m
tek
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a
n
d
U.
V.
P
atil
g
av
e
v
ar
io
u
s
to
p
o
lo
g
ies
th
r
o
u
g
h
t
a
co
m
p
ar
ativ
e
s
tu
d
y
o
f
p
ass
i
v
e
f
ilter
s
w
a
s
p
r
o
p
o
s
ed
to
r
ed
u
ce
th
e
to
tal
in
d
u
cta
n
ce
v
al
u
e,
w
it
h
o
u
t i
n
cr
ea
s
i
n
g
ca
p
ac
iti
v
e
r
ea
ctiv
e
p
o
w
er
[
1
8
]
.
P
W
M
is
a
n
o
n
-
li
n
ea
r
p
r
o
ce
s
s
th
at
cr
ea
tes
h
ar
m
o
n
ics
o
v
er
t
h
e
en
tire
f
r
eq
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e
n
c
y
s
p
ec
tr
u
m
.
Dep
en
d
in
g
o
n
t
h
e
p
r
o
p
er
ties
o
f
th
e
r
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e
r
en
ce
s
i
g
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al
a
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d
d
ep
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g
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its
i
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ter
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h
t
h
e
m
o
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u
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t
h
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C
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m
p
o
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e
n
t o
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th
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e
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en
h
ar
m
o
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ics
m
a
y
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ze
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o
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s
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r
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t
co
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ller
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s
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lied
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n
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ec
ted
in
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er
ter
w
it
h
f
i
x
ed
f
r
eq
u
en
c
y
(
P
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M)
[
1
9
]
,
an
d
F.
Seb
aa
l
y
et
al.
s
h
o
w
a
clo
s
ed
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lo
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p
ac
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to
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m
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d
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SVM)
s
lid
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m
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tr
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ller
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)
f
o
r
a
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p
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t
UP
S
(
3
L
-
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C
)
co
n
n
e
cted
to
a
n
e
u
tr
al
p
o
in
t
co
n
n
ec
ted
to
th
e
n
et
w
o
r
k
[
2
0
]
.
T
h
e
p
er
f
o
r
m
an
ce
o
f
a
m
o
d
u
lato
r
is
ch
ar
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ter
ized
b
y
it
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ab
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ate
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o
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e
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ce
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ig
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al.
Var
io
u
s
m
ea
s
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e
m
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t
s
m
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k
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s
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to
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d
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w
e
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r
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p
o
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m
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lticar
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ter
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ted
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im
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o
v
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tp
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t
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h
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v
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ta
n
t
s
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h
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o
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v
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lated
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tr
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e
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th
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al
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o
f
t
h
e
o
u
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t
v
o
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g
e
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d
th
e
cu
r
r
en
t
o
f
th
e
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ter
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h
e
l
in
e
v
o
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a
n
d
cu
r
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en
t
w
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v
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o
r
m
s
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e
d
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m
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g
M
A
T
L
A
B
/SIM
U
L
I
NK.
2.
ST
UD
I
E
D
SYS
T
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T
h
e
Fig
u
r
e
1
co
n
s
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s
ts
a
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C
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o
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r
ce
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n
n
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ted
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s
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to
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H
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b
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id
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e
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el
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ter
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o
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g
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ilter
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eli
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ic.
Fig
u
r
e
1
.
B
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iag
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te
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3.
M
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N
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R
Sev
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o
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t t
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o
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ies o
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ter
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Ou
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o
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ies
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ased
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u
l
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n
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s
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ies
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n
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h
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e.
T
h
is
p
ar
ticu
lar
m
o
d
el
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as
t
w
o
m
ain
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e
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r
es:
s
i
m
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licit
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f
co
n
f
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g
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r
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,
w
h
ate
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n
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m
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er
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f
lev
els
o
f
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h
e
d
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d
v
o
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e
at
th
e
o
u
tp
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t
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e
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n
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ter
;
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d
th
e
ex
i
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ce
o
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n
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d
in
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ter
m
o
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th
e
m
ar
k
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Ho
wev
er
,
it
r
eq
u
ir
es
g
a
lv
a
n
ic
p
o
w
er
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o
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r
ce
s
s
ep
ar
ated
f
r
o
m
o
n
e
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o
th
er
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w
h
ic
h
f
u
r
t
h
er
li
m
it
s
its
i
n
d
u
s
tr
ial
ex
p
an
s
io
n
.
I
n
[
2
1
]
d
ea
ls
w
ith
t
h
e
s
i
m
u
latio
n
a
n
d
i
m
p
le
m
e
n
t
atio
n
o
f
n
in
e
le
v
e
l
in
v
er
ter
s
y
s
te
m
.
T
h
e
in
v
er
te
r
u
s
ed
in
th
i
s
s
t
u
d
y
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a
ca
s
ca
d
ed
H
-
b
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e
f
iv
e
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le
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els
w
it
h
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DC
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m
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o
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ed
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t
w
o
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o
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r
ce
.
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h
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t
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ce
lls
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a
s
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o
u
r
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co
n
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I
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T
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h
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m
o
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h
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in
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er
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ed
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io
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GB
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co
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tr
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l
v
o
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ter
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y
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m
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ar
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a
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ce
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m
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d
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latin
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(
th
e
s
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g
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ized
)
w
it
h
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g
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er
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y
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ian
g
u
lar
ca
r
r
ier
.
T
h
e
cir
cu
it
co
n
f
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g
u
r
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n
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o
u
r
in
v
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ter
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d
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e
w
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v
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o
r
m
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e
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ted
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Fig
u
r
e
2
.
T
h
e
f
i
v
e
-
le
v
el
i
n
v
er
ter
o
u
tp
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t
v
o
lta
g
e
in
Fi
g
u
r
e
3
.
Fo
r
th
i
s
i
n
v
er
ter
,
t
w
o
s
in
g
le
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p
h
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s
e
f
u
ll
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ce
lls
an
d
t
w
o
in
d
ep
en
d
e
n
t p
o
w
er
s
u
p
p
lies
ar
e
u
s
ed
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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I
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t
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9
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4
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Dec
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er
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Fig
u
r
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2
Fiv
e
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le
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el
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ter
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DC
Fig
u
r
e
3
.
Fiv
e
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lev
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ter
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o
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m
T
h
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in
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er
ter
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ar
e
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u
p
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tical
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1
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d
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2
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D
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ltag
e
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r
o
v
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f
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t
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ato
r
.
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h
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ate
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r
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ter
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lar
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w
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n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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P
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A
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u
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th
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av
e,
g
en
er
all
y
s
i
n
u
s
o
id
al
(
th
e
s
i
g
n
al
to
b
e
s
y
n
t
h
esized
)
w
it
h
a
g
e
n
er
all
y
tr
ia
n
g
u
lar
ca
r
r
ier
.
T
h
e
o
u
tp
u
t
s
ig
n
al
c
h
a
n
g
e
s
s
ta
te
at
ea
ch
in
ter
s
ec
tio
n
o
f
t
h
e
r
ef
er
e
n
ce
s
ig
n
al
a
n
d
t
h
e
ca
r
r
i
er
.
I
n
th
i
s
m
o
d
u
latio
n
tech
n
iq
u
e,
w
it
h
th
e
MCP
W
M
im
p
le
m
e
n
ted
an
d
th
e
tr
ian
g
u
lar
m
u
l
ticar
r
ier
s
ig
n
als
s
et,
w
e
u
s
e
t
h
e
d
if
f
er
e
n
t
ca
r
r
ier
s
to
co
n
s
tr
u
ct
all
th
e
n
ec
e
s
s
ar
y
co
m
m
an
d
s
f
o
r
all
th
e
s
w
itch
e
s
.
I
n
th
is
tec
h
n
iq
u
e,
t
h
e
r
ef
er
en
ce
i
s
co
m
p
ar
ed
co
n
s
tan
tl
y
to
ea
ch
o
f
th
e
tr
ia
n
g
u
lar
s
i
g
n
a
ls
.
I
f
t
h
e
r
ef
er
en
ce
is
g
r
ea
ter
th
a
n
a
tr
ian
g
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lar
s
i
g
n
a
l,
th
e
o
u
tp
u
t
s
ig
n
al
i
s
1
.
I
n
th
i
s
c
ase,
th
e
s
w
itc
h
co
r
r
esp
o
n
d
in
g
to
th
i
s
m
o
d
u
latio
n
is
ac
ti
v
e.
Ho
w
ev
er
,
i
f
t
h
e
r
ef
er
en
ce
is
le
s
s
t
h
an
a
tr
ia
n
g
u
lar
s
ig
n
al,
th
e
n
t
h
e
o
u
tp
u
t
s
i
g
n
al
ch
an
g
es
s
tate.
I
n
t
h
is
ca
s
e,
w
e
h
av
e
f
o
u
r
tr
ia
n
g
u
lar
s
i
g
n
al
s
t
h
at
h
a
v
e
th
e
s
a
m
e
f
r
eq
u
e
n
c
y
a
n
d
th
e
s
a
m
e
a
m
p
lit
u
d
e.
Fig
u
r
e
5
s
h
o
w
s
a
r
ef
er
en
ce
an
d
f
o
u
r
tr
ian
g
u
lar
s
i
g
n
al.
An
d
d
e
m
o
n
s
tr
ate
th
e
f
ix
ed
s
w
itc
h
i
n
g
f
r
eq
u
e
n
c
y
i
n
ea
ch
c
y
cle.
Fig
u
r
e
5
.
C
ar
r
ier
ar
r
an
g
e
m
e
n
t
f
o
r
MCP
W
M
s
tr
ateg
y
o
f
s
i
n
g
l
e
f
iv
e
-
le
v
el
i
n
v
er
ter
s
T
h
e
p
r
o
p
o
s
ed
m
eth
o
d
en
s
u
r
e
s
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lo
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s
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tch
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n
g
f
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e
n
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y
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d
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i
x
ed
f
u
n
ctio
n
alit
y
o
f
t
h
e
f
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e
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le
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el
in
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er
ter
at
lo
w
s
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h
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n
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e
s
an
d
h
ig
h
e
f
f
icien
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y
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m
p
ar
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d
to
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t
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er
to
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lo
g
ies.
T
h
e
PW
M
ar
e
co
m
p
u
ted
to
m
i
n
i
m
ize
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r
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t
h
ar
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o
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ic
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p
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to
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h
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m
eth
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d
w
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ll
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e
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e
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5.
SI
M
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AT
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O
N
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E
S
UL
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1
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e
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ase
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ase
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ase
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n
al.
as
s
h
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w
n
i
n
F
ig
u
r
e
7
.
As
w
e
s
ee
in
Fi
g
u
r
e
8
t
h
e
o
u
t
p
u
t
v
o
lta
g
e
o
f
T
h
r
ee
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p
h
ase
f
i
v
e
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lev
el
in
v
er
ter
i
s
alter
n
ati
v
e.
T
h
e
p
u
r
p
o
s
e
o
f
o
u
r
w
o
r
k
is
p
er
f
o
r
m
ed
in
ad
v
a
n
c
e
to
h
av
e
a
p
r
ac
tical
s
in
e
w
a
v
e
o
u
tp
u
t v
o
lta
g
e.
Fig
u
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e
7
.
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ar
r
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r
an
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e
n
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MCP
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M
s
tr
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ase
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ter
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u
r
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8
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h
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ase
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tag
e
o
f
i
n
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ter
5
.
2
.
Sp
ec
t
ra
l A
na
ly
s
is
o
f
t
he
P
ha
s
e
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.
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I
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2
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I
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w
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t
,
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9
,
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4
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