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IJ
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Vo
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Dec
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b
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201
5
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3
7
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4
8
138
m
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s
c
h
e
m
e
T
h
e
ab
o
v
e
co
n
tr
o
ller
s
ar
e
u
s
e
d
to
d
etec
t a
n
d
is
o
late
t
h
e
f
a
u
l
t
w
h
ic
h
o
cc
u
r
s
i
n
a
n
y
o
n
e
o
f
t
h
e
s
w
i
tch
e
s
in
t
h
e
p
r
o
p
o
s
ed
in
v
er
ter
a
n
d
also
r
ed
u
ce
s
o
r
m
in
i
m
izes
th
e
ti
m
e
b
et
w
ee
n
t
h
e
f
au
lt
o
cc
u
r
r
en
ce
an
d
it
s
is
o
latio
n
.
A
ll c
o
n
tr
o
ller
s
g
e
n
er
ate
n
ec
ess
ar
y
g
a
te
p
u
ls
e
s
f
o
r
tr
ig
g
er
i
n
g
th
e
p
o
w
er
s
w
itc
h
es i
n
FS
VSI
.
R
ec
en
t
l
y
h
i
g
h
s
w
i
tch
in
g
f
r
eq
u
en
c
y
p
o
w
er
s
e
m
ico
n
d
u
cto
r
d
ev
ices
s
u
ch
a
s
I
GB
T
ar
e
u
s
ed
f
o
r
d
ev
elo
p
in
g
h
i
g
h
f
r
eq
u
en
c
y
p
u
l
s
e
w
id
th
m
o
d
u
latio
n
tech
n
iq
u
e
s
.
I
n
o
r
d
er
t
o
r
ed
u
ce
th
e
h
ar
m
o
n
ics,
T
HD,
n
o
is
e
an
d
b
etter
d
y
n
a
m
ic
r
esp
o
n
s
e,
s
p
ac
e
v
ec
t
o
r
p
u
ls
e
w
id
t
h
m
o
d
u
latio
n
(
S
VP
W
M)
is
b
etter
ch
o
ice
f
o
r
p
r
o
d
u
cin
g
r
eq
u
ir
ed
g
ate
p
u
ls
es
an
d
co
n
tr
o
l
t
h
e
o
u
tp
u
t
v
o
ltag
e.
S
VP
W
M
[
1
8
]
i
s
also
d
e
v
elo
p
in
g
t
h
e
v
ec
to
r
d
u
r
atio
n
s
o
f
v
o
lta
g
e
s
p
ac
e
v
ec
to
r
s
.
P
r
ev
io
u
s
l
y
P
I
an
d
Fu
zz
y
co
n
tr
o
l
alg
o
r
ith
m
s
[
1
9
]
w
er
e
u
s
ed
f
o
r
f
au
lt
ti
m
e
r
ec
o
v
er
y
.
No
w
ad
a
y
s
,
FP
GA
co
n
tr
o
ller
[
1
,
2
]
is
u
s
ed
in
f
a
u
lt
to
ler
an
t
s
c
h
e
m
e
f
o
r
b
etter
ti
m
e
r
ec
o
v
er
y
an
d
ac
cu
r
ac
y
.
Ma
n
y
p
ap
er
s
h
av
e
b
ee
n
p
u
b
lis
h
ed
ab
o
u
t
t
h
e
f
au
lt
to
ler
an
t
s
ch
e
m
es
w
it
h
f
au
lt
d
etec
tio
n
ti
m
e.
R
ec
en
tl
y
S.Ka
r
i
m
i,P
.
P
o
u
r
e
an
d
S.Saa
d
ate
p
r
o
p
o
s
ed
a
f
ast
p
o
w
er
s
w
itc
h
f
ail
u
r
e
d
etec
tio
n
s
c
h
e
m
e
f
o
r
t
h
r
ee
p
h
ase
w
it
h
n
o
r
m
al
t
h
r
ee
le
g
v
o
ltag
e
s
o
u
r
ce
in
v
er
ter
s
,
i
n
wh
ich
m
i
n
i
m
izatio
n
o
f
th
e
t
i
m
e
in
ter
v
al
w
a
s
in
t
h
e
f
r
ac
tio
n
o
f
m
icr
o
s
ec
o
n
d
s
.
2.
F
AULT
T
O
L
E
RAN
T
T
O
P
O
L
O
G
Y
Fig
u
r
e
1
s
h
o
w
s
a
f
a
u
lt
to
ler
an
t
to
p
o
lo
g
y
f
o
r
a
f
o
u
r
s
w
itc
h
v
o
ltag
e
s
o
u
r
ce
in
v
er
ter
[
6
-
9
,
1
1
]
w
it
h
t
h
r
ee
p
h
ase
lo
ad
.
T
h
is
p
r
o
p
o
s
ed
in
v
er
ter
s
ch
e
m
e
is
co
m
p
o
s
ed
o
f
t
h
r
ee
leg
s
w
it
h
f
o
u
r
s
w
itc
h
es
(
S
1
to
S
4
)
i
n
t
w
o
le
g
s
an
d
t
w
o
d
c
-
li
n
k
ca
p
ac
ito
r
s
i
n
th
ir
d
leg
.
I
n
ad
d
itio
n
to
t
h
at
a
u
x
i
liar
y
le
g
(
f
o
u
r
t
h
le
g
)
,
w
h
ic
h
is
f
o
r
m
ed
b
y
t
w
o
m
o
r
e
s
w
i
tch
e
s
(
S
5
an
d
S
6
)
ac
ts
as
a
r
ep
lacin
g
leg
an
d
t
w
o
tr
iac
s
w
itc
h
es
as
co
n
n
ec
ti
n
g
s
w
itc
h
e
s
b
et
w
ee
n
in
v
er
ter
s
w
i
tch
i
n
g
le
g
s
a
n
d
au
x
iliar
y
le
g
.
W
h
e
n
f
a
u
lt
o
cc
u
r
s
at
th
e
a
n
y
o
n
e
o
f
th
e
s
w
i
tch
e
s
in
t
h
e
in
v
er
ter
,
t
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
d
etec
ts
a
n
d
is
o
lates t
h
e
f
a
u
lt
y
leg
.
T
h
e
is
o
l
atio
n
is
i
m
p
le
m
en
ted
b
y
r
e
m
o
v
in
g
t
h
e
g
a
te
s
i
g
n
a
l
f
o
r
th
e
p
ar
ticu
lar
f
a
u
lt
y
s
w
itc
h
an
d
tr
ig
g
er
s
th
e
co
r
r
esp
o
n
d
in
g
b
id
i
r
ec
tio
n
al
tr
iac
s
w
itc
h
(
eit
h
er
T
1
o
r
T
2
).
Fig
u
r
e
1
.
FS
VSI
f
a
u
lt to
ler
an
t to
p
o
lo
g
y
I
f
a
n
y
f
a
u
lt
o
cc
u
r
s
at
a
n
y
o
n
e
o
f
t
h
e
p
o
w
er
s
w
i
tch
e
s
i
n
m
ai
n
cir
cu
it,
a
n
au
x
iliar
y
le
g
w
h
ic
h
co
n
s
is
ts
o
f
t
w
o
s
w
i
tch
e
s
r
ep
lace
s
t
h
a
t
f
a
u
lt
y
le
g
th
r
o
u
g
h
co
n
ce
r
n
ed
b
id
ir
ec
tio
n
al
tr
iac
s
w
itc
h
an
d
th
e
o
p
er
atio
n
co
n
tin
u
es
d
u
r
i
n
g
th
e
f
au
l
t
ex
i
s
ten
ce
.
Fo
r
ex
a
m
p
le
i
f
f
a
u
lt
o
cc
u
r
s
in
S
1
o
r
S
2
,
th
en
tr
i
g
g
e
r
in
g
p
u
l
s
es
g
iv
e
n
to
th
e
b
o
th
s
w
itc
h
es
ar
e
r
e
m
o
v
e
d
an
d
au
x
iliar
y
le
g
(
S
5
a
n
d
S
6
)
r
ep
lace
s
an
d
ac
ts
a
s
m
ain
le
g
b
y
tr
i
g
g
er
in
g
t
h
e
b
id
ir
ec
tio
n
al
s
w
itc
h
T
1
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
A
P
E
I
SS
N:
2252
-
8792
F
P
GA
b
a
s
ed
fa
u
lt t
o
lera
n
t sch
eme
o
n
fo
u
r
s
w
itch
vo
lta
g
e
s
o
u
r
ce
in
ve
r
ter
(
A
yy
a
kri
s
h
n
a
n
.
M
)
139
A
cc
o
r
d
in
g
to
s
p
ac
e
v
ec
to
r
m
o
d
u
latio
n
a
n
alo
g
y
,
co
m
p
o
n
e
n
ts
o
f
α
β
o
f
t
h
e
v
o
lta
g
e
v
ec
to
r
s
f
r
o
m
ab
c
v
o
ltag
e
s
b
y
clar
k
’
s
tr
a
n
s
f
o
r
m
a
tio
n
ca
n
b
e
w
r
itte
n
as (
1
)
c
b
a
V
V
V
V
V
2
3
2
3
0
2
1
2
1
1
3
2
(
1
)
W
h
er
e
p
h
ase
v
o
lta
g
es a
r
e
d
ef
in
ed
b
y
(
2
)
0
0
0
0
0
3
1
;
2
3
1
;
2
3
1
b
a
c
a
b
b
bo
a
a
V
V
V
V
V
V
V
V
V
(
2
)
I
n
s
p
ac
e
v
ec
to
r
p
u
ls
e
w
id
t
h
m
o
d
u
latio
n
,
th
er
e
ar
e
f
o
u
r
p
o
s
s
i
b
le
s
p
ac
e
v
ec
to
r
s
f
o
r
m
ai
n
cir
cu
it
p
o
w
e
r
s
w
itc
h
es
a
n
d
t
w
o
v
ec
to
r
s
f
o
r
au
x
i
liar
y
le
g
p
o
w
er
s
w
itc
h
e
s
.
I
n
f
o
u
r
v
ec
to
r
an
a
lo
g
y
,
ea
c
h
v
o
ltag
e
s
p
ac
e
v
ec
to
r
is
d
is
p
lace
d
b
y
9
0
0
.
in
α
β
p
la
n
e.
T
h
e
r
ep
r
esen
tatio
n
o
f
d
i
f
f
er
en
t
s
w
i
tch
in
g
f
u
n
ctio
n
s
a
n
d
s
p
ac
e
v
ec
to
r
s
s
h
o
w
n
in
T
ab
le
1
.
T
ab
le
1
.
Sw
itch
in
g
f
u
n
ctio
n
s
a
n
d
Vo
ltag
e
v
ec
to
r
s
S
1
S
3
V
=
V
α+j
V
β
0
0
3
2
1
3
j
dc
e
V
V
1
1
0
0
1
1
6
2
3
2
j
dc
e
V
V
3
3
3
j
dc
e
V
V
6
5
4
3
2
j
dc
e
V
V
3.
SPAC
E
V
E
C
T
O
R
M
O
DULAT
I
O
N
AN
D
P
WM
G
E
NE
RATI
O
N
SVP
W
M
p
r
o
d
u
ce
s
n
ec
e
s
s
ar
y
p
u
ls
es
f
o
r
th
e
s
w
itc
h
i
n
g
f
u
n
ctio
n
s
S
1
a
n
d
S
3
w
it
h
i
n
t
h
e
s
p
ec
if
ied
s
a
m
p
li
n
g
p
er
io
d
.
Du
r
in
g
t
h
e
f
a
u
lt
co
n
d
it
io
n
s
,
th
er
e
ar
e
s
ix
s
ec
to
r
s
an
d
f
o
u
r
v
o
lta
g
e
v
ec
to
r
s
.
S
w
i
tch
i
n
g
p
atter
n
s
f
o
r
s
ec
to
r
s
I
,
V,
VI
ar
e
s
h
o
w
n
i
n
Fi
g
u
r
e
2
.
S
w
itc
h
in
g
p
atter
n
s
f
o
r
s
ec
to
r
s
I
I
,
I
I
I
,
I
V
ar
e
s
h
o
w
n
i
n
Fig
u
r
e
3
.
3
.
1
.
P
uls
e
pa
t
t
er
n
s
f
o
r
s
w
it
c
hin
g
in t
he
pro
po
s
ed
m
et
ho
d
.
A
cc
o
r
d
in
g
to
s
p
ac
e
v
ec
to
r
m
o
d
u
latio
n
T
V
=
1
v
1
t
+
2
v
2
t
+
4
3
3
v
t
v
4
t
(
3
)
Af
ter
alg
eb
r
aic
s
i
m
p
li
f
icatio
n
ti
m
e
w
ei
g
h
ts
ar
e
z
y
x
t
t
t
T
(
4
)
Vo
ltag
e
s
p
ac
e
v
ec
to
r
s
f
o
r
ea
ch
s
ec
to
r
is
g
i
v
en
i
n
T
ab
le.
2
T
ab
le
2
.
Secto
r
s
an
d
Vec
to
r
s
S
e
c
t
o
r
V
e
c
t
o
r
I
,
V,
VI
V
1
,V
2,
V
3
I
I
,
I
I
I
,
I
V
V
1
,V
3,
V
4
Sect
o
r
I
t
x
= t
23f
=
3
MT
s
s
in
(
3
-
α)
(
5
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8792
IJ
A
P
E
Vo
l.
4
,
No
.
3
,
Dec
em
b
er
201
5
:
1
3
7
–
1
4
8
140
t
y
= t
3f
=
3
MT
s
s
in
(
α
)
(
6
)
t
z
= t
of
=
T
s
/2
–
t
23f
–
t
3f
(
7
)
t
2m
=
2
23
f
t
t
3m
=
2
23
f
t
(
8
)
t
3z
=
2
of
t
;
t
1z
=
2
of
t
(
9
)
1
V
t
=
z
t
1
(
1
0
)
t
V2
= t
2m
(
1
1
)
t
V3
= t
3f
+ t
3m
+ t
3z
(
1
2
)
Sect
o
r
I
I
t
x
= t
3f
=
3
MT
s
s
in
(
3
-
α
)
(
1
3
)
t
y
= t
34f
=
3
MT
s
s
in
(
α
)
(
1
4
)
t
z
= t
of
=
T
s
/2
–
t
3f
–
t
34f
(
1
5
)
t
3m
=
2
34
f
t
;
t
4m
=
2
34
f
t
(
1
6
)
t
3z
=
2
of
t
;
t
1z
=
2
of
t
(
1
7
)
1
V
t
=
z
t
1
(
1
8
)
t
V4
= t
4m
(
1
9
)
t
V3
= t
3f
+ t
3m
+ t
3z
(
2
0
)
Sect
o
r
I
I
I
t
x
= t
34f
=
3
MT
s
s
in
(
3
-
α)
(
2
1
)
t
y
= t
41f
=
3
MT
s
s
in
(
α
)
(
2
2
)
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
A
P
E
I
SS
N:
2252
-
8792
F
P
GA
b
a
s
ed
fa
u
lt t
o
lera
n
t sch
eme
o
n
fo
u
r
s
w
itch
vo
lta
g
e
s
o
u
r
ce
in
ve
r
ter
(
A
yy
a
kri
s
h
n
a
n
.
M
)
141
t
z
= t
of
=
T
s
/2
–
t
34f
–
t
41f
(
2
3
)
t
3m
=
2
34
f
t
t
4m
=
2
34
f
t
+
2
41
f
t
(
2
4
)
t
1m
=
2
41
f
t
;
t
1z
=
2
of
t
;
t
3z
=
2
of
t
(
2
5
)
1
V
t
=
z
t
1
+
t
1m
(
2
6
)
t
V4
= t
4m
(
2
7
)
t
V3
=
t
3m
+ t
3z
(
2
8
)
Sect
o
r
I
V
t
x
= t
41f
=
3
MT
s
s
in
(
3
−α
)
(
2
9
)
t
y
= t
1f
=
3
MT
s
s
in
(
α
)
(
3
0
)
t
z
= t
of
=
T
s
/2
–
t
41f
–
t
1f
(
3
1
)
t
4m
=
2
41
f
t
t
1m
=
2
41
f
t
(
3
2
)
t
3z
=
2
of
t
;
t
1z
=
2
of
t
(
3
3
)
1
V
t
=
t
1f
+
z
t
1
+
t
1m
(
3
4
)
t
V4
= t
4m
(
3
5
)
t
V3
=
t
3z
(
3
6
)
Sect
o
r
V
t
x
= t
1f
=
3
MT
s
s
in
(
3
-
α
)
(
3
7
)
t
y
= t
12f
=
3
MT
s
s
in
(
α
)
(
3
8
)
t
z
= t
of
=
T
s
/2
–
t
1f
–
t
12f
(
3
9
)
t
1m
=
2
12
f
t
;
t
2m
=
2
12
f
t
(
4
0
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8792
IJ
A
P
E
Vo
l.
4
,
No
.
3
,
Dec
em
b
er
201
5
:
1
3
7
–
1
4
8
142
t
3z
=
2
of
t
;
t
1z
=
2
of
t
(
4
1
)
1
V
t
=
t
1f
+
z
t
1
+
t
1m
(
4
2
)
t
V2
= t
2m
(
4
3
)
t
V3
= t
3z
(
4
4
)
Sect
o
r
VI
t
x
= t
12f
=
3
MT
s
s
in
(
3
-
α
)
(
4
5
)
t
y
= t
23f
=
3
MT
s
s
in
(
α
)
(
4
6
)
t
z
= t
of
=
T
s
/2
–
t
23f
–
t
12f
(
4
7
)
t
1m
=
2
23
f
t
;
t
2m
=
2
12
f
t
+
2
23
f
t
t
3m
=
2
23
f
t
(
4
8
)
t
3z
=
2
of
t
;
t
1z
=
2
of
t
(
4
9
)
1
V
t
=
z
t
1
+
t
1m
(
5
0
)
t
V2
= t
2m
(
5
1
)
t
V3
= t
3m
+ t
3z
(
5
2
)
Fig
u
r
e
2
.
P
u
ls
e
p
atter
n
s
f
o
r
s
ec
to
r
s
I
,
V,
VI
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
A
P
E
I
SS
N:
2252
-
8792
F
P
GA
b
a
s
ed
fa
u
lt t
o
lera
n
t sch
eme
o
n
fo
u
r
s
w
itch
vo
lta
g
e
s
o
u
r
ce
in
ve
r
ter
(
A
yy
a
kri
s
h
n
a
n
.
M
)
143
Fig
u
r
e
3
.
P
u
ls
e
p
atter
n
s
f
o
r
Secto
r
s
I
I
,
I
I
I
,
I
V
4.
F
P
G
A
CO
NT
RO
L
A
L
G
O
R
I
T
H
M
T
h
e
Field
P
r
o
g
r
am
m
ab
le
Gate
A
r
r
a
y
(
FP
G
A
)
ca
n
b
e
r
ep
r
o
g
r
am
m
ed
d
ep
en
d
in
g
u
p
o
n
t
h
e
r
eq
u
ir
e
m
en
t
o
f
th
e
u
s
er
.
I
t
p
r
o
v
id
es
in
s
tan
t
m
a
n
u
f
ac
t
u
r
i
n
g
tu
r
n
ar
o
u
n
d
an
d
n
e
g
li
g
ib
le
p
r
o
to
t
y
p
e
co
s
ts
w
h
ic
h
m
ak
e
s
it
s
u
itab
le
f
o
r
e
m
b
ed
d
ed
s
y
s
te
m
d
esi
g
n
.
T
h
e
s
eq
u
en
ce
o
f
s
tep
s
f
o
llo
w
ed
w
h
en
i
m
p
le
m
en
tin
g
P
W
M
Gen
er
ato
r
d
esig
n
o
n
FP
G
A
.
T
h
ese
s
tep
s
ar
e
d
is
cu
s
s
ed
in
d
etail
h
er
e.
4
.
1
.
Desig
n E
ntr
y
T
h
is
is
t
h
e
f
ir
s
t
s
tep
o
f
i
m
p
le
m
en
tin
g
a
d
esi
g
n
o
n
FP
GA
.
I
n
t
h
is
s
tep
,
th
e
V
HD
L
(
Ver
y
Hig
h
Sp
ee
d
I
n
teg
r
ated
C
h
ip
Har
d
w
ar
e
Descr
ip
tio
n
L
a
n
g
u
a
g
e)
co
d
e
o
f
P
W
M
Gen
er
ato
r
A
r
ch
itect
u
r
e
w
as
w
r
itte
n
u
s
in
g
s
o
f
t
w
ar
e
Xili
n
x
I
SE
1
4
.
1
.
4
.
2
.
RT
L
Si
m
ula
t
io
n
T
h
e
n
ex
t
s
tep
is
R
T
L
s
i
m
u
l
atio
n
.
Fo
r
th
i
s
s
i
m
u
latio
n
V
HDL
T
est
b
en
c
h
w
a
s
w
r
itte
n
f
o
r
P
W
M
Gen
er
ato
r
ar
ch
itect
u
r
e
an
d
s
i
m
u
latio
n
w
a
s
s
ee
n
in
Xi
lin
x
I
SE
Si
m
u
lato
r
.
4
.
3
.
Desig
n Sy
nthesis
T
h
e
VHDL
co
d
e
o
f
P
W
M
Gen
er
ato
r
is
th
e
n
s
y
n
t
h
esize
d
u
s
i
n
g
Xil
in
x
X
ST
an
d
t
h
e
s
y
n
th
e
s
is
p
r
o
ce
s
s
is
u
s
ed
f
o
r
o
p
ti
m
izi
n
g
th
e
d
esi
g
n
ar
ch
itect
u
r
e
s
ele
cted
.
T
h
e
r
esu
lti
n
g
n
etli
s
t
is
s
av
ed
to
NGC
f
ile.
Af
ter
d
esig
n
s
y
n
th
e
s
is
,
t
h
at
r
ep
o
r
t
is
g
en
er
ated
w
h
ich
g
iv
e
s
in
f
o
r
m
a
tio
n
ab
o
u
t
h
o
w
m
an
y
lo
g
ic
b
lo
ck
s
u
s
ed
an
d
w
h
at
d
ev
ice
u
ti
lizatio
n
o
f
th
e
d
esi
g
n
ar
c
h
itect
u
r
e
s
y
n
t
h
esized
.
I
t
b
asicall
y
m
ap
s
t
h
e
b
eh
av
io
r
al
d
esi
g
n
to
g
ate
lev
e
l d
esig
n
.
4
.
4
.
Desig
n I
m
p
le
m
e
nta
t
io
n
I
n
th
i
s
d
esig
n
,
t
h
er
e
ar
e
th
r
ee
s
tep
s
in
v
o
lv
ed
to
i
m
p
le
m
e
n
t FP
GA
.
T
r
an
s
latin
g
.
Ma
p
p
in
g
P
lacin
g
an
d
R
o
u
ti
n
g
B
ef
o
r
e
tr
an
s
lati
n
g
t
h
e
d
esig
n
,
User
C
o
n
s
tr
ain
ed
Fil
e
(
UC
F)
is
w
r
i
tten
to
ass
ig
n
p
in
co
n
f
i
g
u
r
atio
n
o
f
th
e
FP
G
A
to
th
e
SVP
W
M
Gen
er
ato
r
I
/O‟s.
T
r
an
s
late
m
er
g
es
to
g
et
h
er
th
i
s
UC
F
f
ile
a
n
d
n
etlis
t
g
e
n
er
ated
af
ter
s
y
n
t
h
es
is
i
n
to
Xili
n
x
d
es
ig
n
f
ile.
Ma
p
p
in
g
is
d
o
n
e
to
f
i
t
th
e
d
esi
g
n
i
n
to
th
e
a
v
ailab
le
r
eso
u
r
ce
s
o
f
tar
g
et
d
ev
ice
i.e
.
FP
GA
.
an
d
f
in
a
ll
y
Desig
n
I
m
p
le
m
e
n
tatio
n
i
s
P
lacin
g
a
n
d
R
o
u
ti
n
g
w
h
ic
h
p
lace
s
th
e
lo
g
ic
b
lo
ck
s
o
f
th
e
d
esi
g
n
i
n
to
FP
G
A
a
n
d
r
o
u
te
th
e
m
to
g
et
h
er
.
So
t
h
a
t
th
e
y
o
cc
u
p
y
m
i
n
i
m
u
m
ar
ea
an
d
m
ee
t
ti
m
i
n
g
r
eq
u
ir
e
m
en
ts
.
T
h
is
o
p
er
atio
n
p
r
o
d
u
ce
s
NC
D
o
u
tp
u
t f
ile.
4
.
5
.
Xilin
x
Dev
ice
(
F
P
G
A)
P
ro
g
ra
mm
ing
I
n
t
h
is
p
r
o
g
r
a
m
m
i
n
g
,
th
e
p
r
o
ce
s
s
tab
o
f
Xi
lin
x
I
SE
w
h
ic
h
co
n
v
er
t
s
t
h
e
N
C
D
f
i
le
g
en
er
ated
af
ter
r
o
u
tin
g
to
B
I
T
f
ile.
I
t
p
r
o
d
u
c
es
a
b
its
tr
ea
m
f
o
r
Xili
n
x
Dev
i
ce
(
FP
GA
in
t
h
is
ca
s
e
)
co
n
f
ig
u
r
atio
n
.
B
I
T
f
ile
i
s
u
s
ed
f
o
r
p
r
o
g
r
a
m
m
in
g
t
h
e
FP
GA
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8792
IJ
A
P
E
Vo
l.
4
,
No
.
3
,
Dec
em
b
er
201
5
:
1
3
7
–
1
4
8
144
P
r
o
v
id
e
a
s
tate
m
en
t
th
a
t
w
h
a
t
is
ex
p
ec
ted
,
as
s
tated
in
t
h
e
"
I
n
tr
o
d
u
ctio
n
"
ch
ap
ter
ca
n
u
lti
m
atel
y
r
es
u
lt
i
n
"
R
esu
lts
a
n
d
Dis
c
u
s
s
io
n
"
ch
ap
ter
,
s
o
th
er
e
is
co
m
p
atib
ili
t
y
.
Mo
r
eo
v
er
,
it c
an
also
b
e
ad
d
e
d
th
e
p
r
o
s
p
ec
t o
f
th
e
d
ev
elo
p
m
en
t
o
f
r
esear
c
h
r
esu
l
ts
an
d
ap
p
licatio
n
p
r
o
s
p
ec
ts
o
f
f
u
r
t
h
er
s
t
u
d
ies
in
to
t
h
e
n
ex
t
(
b
ased
o
n
r
esu
lt
a
n
d
d
is
cu
s
s
io
n
)
.
5
.
SI
M
UL
AT
I
O
N
R
E
SU
L
T
S
Fig
u
r
e
4
.
E
x
p
er
im
e
n
tal
s
etu
p
d
iag
r
a
m
f
o
r
t
h
e
s
ch
e
m
e
Fig
u
r
e
4
s
h
o
w
s
a
n
e
x
p
er
i
m
e
n
tal
s
et
u
p
f
o
r
t
h
e
p
r
o
p
o
s
ed
s
ch
e
m
e.
SP
AR
T
A
N
3
E
FP
GA
c
an
b
e
u
s
ed
f
o
r
s
i
m
u
latin
g
t
h
e
r
es
u
lt
s
o
f
t
r
ig
g
er
i
n
g
p
u
l
s
es
to
all
p
o
w
er
s
w
itc
h
es,
li
n
e
to
n
eu
tr
al
v
o
lta
g
e
w
a
v
ef
o
r
m
s
a
n
d
f
au
lt
d
etec
tio
n
a
n
d
is
o
latio
n
wav
e
f
o
r
m
s
.
T
h
e
s
i
m
u
lat
io
n
r
e
s
u
lt
s
o
f
S
VP
W
M
w
av
e
f
o
r
m
s
an
d
f
a
u
lt
d
etec
tio
n
w
a
v
e
f
o
r
m
ar
e
s
h
o
w
n
i
n
Fi
g
u
r
e
5
an
d
Fig
u
r
e
6
.
T
h
e
f
ig
u
r
e
o
f
SP
A
R
T
AN
3
E
FP
GA
an
d
d
ev
ice
u
tili
za
t
io
n
is
s
h
o
w
n
in
T
ab
le
3
an
d
T
ab
le
4
.
T
ab
le
3
P
r
o
j
ec
t statu
s
F
a
u
l
t
_
V
S
I
_
t
o
p
P
r
o
j
e
c
t
S
t
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