I
nd
o
ne
s
ia
n J
o
urna
l o
f
E
lect
rica
l En
g
ineering
a
nd
Co
m
pu
t
er
Science
Vo
l.
25
,
No
.
1
,
J
an
u
ar
y
20
22
,
p
p
.
3
7
5
~
3
8
1
I
SS
N:
2
5
0
2
-
4
7
5
2
,
DOI
: 1
0
.
1
1
5
9
1
/ijeecs.v
25
.i
1
.
pp
375
-
3
8
1
375
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ij
ee
cs.ia
esco
r
e.
co
m
A weight
ed gro
up
shuff
l
ed de
co
din
g
f
o
r
lo
w
-
de
nsity
pa
rity
-
check
co
des
F
a
t
im
a
Z
a
hra
e
Z
enk
o
ua
r
1
,
2
,
M
us
t
a
p
ha
E
l
A
la
o
ui
2
,
Sa
id
N
a
j
a
h
1,
2
1
S
I
A
La
b
o
r
a
t
o
r
y
,
F
a
c
u
l
t
y
o
f
S
c
i
e
n
c
e
s
a
n
d
T
e
c
h
n
o
l
o
g
i
e
s
,
S
i
d
i
M
o
h
a
mm
e
d
B
e
n
A
b
d
e
l
l
a
h
U
n
i
v
e
r
s
i
t
y
,
F
e
z
,
M
o
r
o
c
c
o
2
La
b
o
r
a
t
o
r
y
o
f
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
,
D
e
p
a
r
t
m
e
n
t
o
f
P
h
y
s
i
c
s
,
S
i
g
n
a
l
s,
A
u
t
o
m
a
t
i
o
n
a
n
d
C
o
g
n
i
t
i
v
i
sm (
LI
S
A
C
)
,
F
a
c
u
l
t
y
o
f
S
c
i
e
n
c
e
s D
h
a
r
El
M
a
h
r
a
z
,
S
i
d
i
M
o
h
a
m
e
d
B
e
n
A
b
d
e
l
l
a
h
U
n
i
v
e
r
s
i
t
y
,
F
e
z
,
M
o
r
o
c
c
o
Art
icle
I
nfo
AB
S
T
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
Mar
12
,
2
0
2
1
R
ev
is
ed
No
v
16
,
2
0
2
1
Acc
ep
ted
No
v
20
,
2
0
2
1
In
t
h
is
p
a
p
e
r,
we
h
a
v
e
d
e
v
e
lo
p
e
d
se
v
e
ra
l
c
o
n
c
e
p
ts
su
c
h
a
s
t
h
e
tre
e
c
o
n
c
e
p
t,
th
e
sh
o
rt
c
y
c
le
c
o
n
c
e
p
t
a
n
d
t
h
e
g
ro
u
p
s
h
u
ffli
n
g
c
o
n
c
e
p
t
o
f
a
p
ro
p
a
g
a
ti
o
n
c
y
c
le
to
d
e
c
ry
p
t
l
o
w
-
d
e
n
si
ty
p
a
rit
y
-
c
h
e
c
k
(LD
P
C)
c
o
d
e
s.
T
h
u
s,
we
p
r
o
p
o
se
d
a
n
a
lg
o
ri
th
m
b
a
se
d
o
n
g
r
o
u
p
sh
u
ff
li
n
g
p
r
o
p
a
g
a
ti
o
n
w
h
e
re
th
e
p
ro
b
a
b
il
it
y
o
f
o
c
c
u
rre
n
c
e
tak
e
s
e
x
p
o
n
e
n
ti
a
l
f
o
r
m
e
x
p
o
n
e
n
ti
a
l
fa
c
to
r
a
p
p
e
a
ra
n
c
e
p
ro
b
a
b
il
it
y
b
e
li
e
f
p
ro
p
a
g
a
ti
o
n
-
g
ro
u
p
s
h
u
ffle
d
b
e
li
e
f
p
ro
p
a
g
a
ti
o
n
(EF
A
P
-
G
S
BP
).
Th
is
a
lg
o
rit
h
m
is
u
se
d
f
o
r
wire
les
s
c
o
m
m
u
n
ica
ti
o
n
a
p
p
li
c
a
ti
o
n
s
b
y
p
ro
v
id
i
n
g
imp
ro
v
e
d
d
e
c
ry
p
ti
o
n
p
e
rfo
rm
a
n
c
e
with
l
o
w
late
n
c
y
.
To
d
e
m
o
n
stra
te
th
e
e
ffe
c
ti
v
e
n
e
ss
o
f
o
u
r
su
g
g
e
ste
d
t
e
c
h
n
iq
u
e
EF
AP
-
G
S
BP
,
we
ra
n
n
u
m
e
ro
u
s
sim
u
latio
n
s th
a
t
d
e
m
o
n
stra
ted
th
a
t
o
u
r
a
lg
o
rit
h
m
is
su
p
e
rio
r
to
th
e
t
ra
d
it
io
n
a
l
BP
/G
S
BP
a
lg
o
ri
th
m
f
o
r
d
e
c
ry
p
t
i
n
g
LP
DC
c
o
d
e
s
i
n
b
o
th
re
g
u
lar
a
n
d
n
o
n
-
re
g
u
lar fo
rm
s.
K
ey
w
o
r
d
s
:
B
elief
p
r
o
p
ag
atio
n
E
FAP
-
GS
B
P
Gir
h
t
GSB
P
L
DPC
co
d
es
L
o
w
laten
cy
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Fatim
a
Z
ah
r
ae
Z
en
k
o
u
ar
SIA
L
ab
o
r
ato
r
y
,
Facu
lty
o
f
Sc
ien
ce
s
an
d
T
ec
h
n
o
lo
g
ies,
Sid
i
Mo
h
am
m
ed
B
en
Ab
d
ellah
Un
iv
er
s
ity
Fez,
B
.
P.
2
2
0
2
–
R
o
u
te
I
m
o
u
zz
er
,
Fez,
Mo
r
o
cc
o
E
m
ail: f
atim
az
ah
r
ae
.
ze
n
k
o
u
ar
@
u
s
m
b
a.
ac
.
m
a
1.
I
NT
RO
D
UCT
I
O
N
I
n
th
e
liter
atu
r
e,
au
t
h
o
r
s
h
av
e
o
f
ten
u
s
ed
th
e
co
n
ce
p
t
o
f
b
el
ief
p
r
o
p
a
g
atio
n
(
B
P)
an
d
th
e
co
n
ce
p
t
o
f
s
u
m
an
d
p
r
o
d
u
ct
(
SP
A)
m
eth
o
d
to
co
n
tr
o
l
th
e
p
ar
ity
o
f
lo
w
-
d
en
s
ity
p
a
r
ity
-
ch
ec
k
c
o
d
es
(
L
DPC
)
with
g
o
o
d
p
er
f
o
r
m
an
ce
.
B
u
t
th
e
c
o
n
ce
p
t
o
f
s
u
m
a
n
d
p
r
o
d
u
ct
(
SP
A)
d
ec
o
d
er
h
as
s
ev
er
al
lim
i
tatio
n
s
s
u
ch
as
f
ast
d
iv
er
g
en
ce
an
d
th
e
g
r
ea
t
d
if
f
icu
lty
to
im
p
lem
e
n
t
th
is
co
d
e.
I
n
th
e
liter
atu
r
e
s
o
m
e
a
u
th
o
r
s
h
av
e
p
r
o
p
o
s
ed
s
o
lu
tio
n
s
to
s
o
lv
e
th
ese
p
r
o
b
le
m
s
.
T
h
u
s
,
th
e
au
th
o
r
s
o
f
t
h
e
p
ap
er
[
1
]
h
a
v
e
p
r
o
p
o
s
ed
a
m
et
h
o
d
b
ased
o
n
s
er
ial
B
P
d
ec
o
d
in
g
.
T
h
eir
alg
o
r
ith
m
f
o
c
u
s
es
o
n
th
e
v
ar
iab
le
n
o
d
es
o
f
th
e
b
ip
ar
tite
g
r
ap
h
b
y
d
iv
id
in
g
th
e
m
in
t
o
s
ev
er
al
g
r
o
u
p
s
.
I
n
th
e
p
ap
e
r
[
2
]
th
e
a
u
th
o
r
s
f
o
cu
s
ed
o
n
th
e
co
n
tr
o
l
n
o
d
es
(
C
N)
o
f
th
e
b
ip
ar
tite
g
r
ap
h
b
y
d
iv
id
in
g
t
h
em
in
to
s
ev
e
r
al
g
r
o
u
p
s
.
Oth
er
au
th
o
r
s
[
3
]
-
[
6
]
h
a
v
e
u
s
ed
th
e
co
n
ce
p
t
o
f
s
er
ial
an
d
p
ar
allel
d
ec
o
d
in
g
th
r
o
u
g
h
s
eq
u
en
tial
g
r
o
u
p
s
o
f
m
ess
ag
es
to
ac
h
iev
e
r
eliab
le
d
ec
r
y
p
tio
n
o
f
e
x
tr
i
n
s
ic
m
ess
ag
es
with
in
an
iter
a
tio
n
.
Mo
r
eo
v
er
,
th
e
au
th
o
r
s
o
f
th
e
ar
ticle
[
7
]
,
[
8
]
h
av
e
s
h
o
wn
th
at
th
e
d
e
cr
y
p
tio
n
m
eth
o
d
b
ased
o
n
th
e
h
o
r
izo
n
tal
g
r
o
u
p
s
h
u
f
f
lin
g
p
r
in
cip
le
(
HGSB
P)
is
th
e
ea
s
iest
alg
o
r
ith
m
to
im
p
lem
en
t.
T
h
u
s
we
will
also
u
s
e
t
h
is
alg
o
r
ith
m
as
a
d
ev
elo
p
m
e
n
t
o
f
o
u
r
p
r
o
p
o
s
ed
d
ec
o
d
i
n
g
m
eth
o
d
.
I
n
d
ee
d
,
w
e
will
ass
o
ciate
ea
ch
co
n
tr
o
l
n
o
d
e
t
o
a
g
r
o
u
p
.
I
n
th
is
ca
s
e,
ea
ch
d
ec
r
y
p
tio
n
o
p
e
r
atio
n
will
co
n
s
is
t
o
f
m
o
r
e
s
u
b
-
o
p
er
atio
n
s
.
T
h
ese
s
u
b
-
o
p
er
a
tio
n
s
will
in
itialize
th
e
lo
g
-
lik
elih
o
o
d
m
ea
s
u
r
es
g
en
er
ated
at
th
e
v
ir
tu
al
n
o
d
e
(
VN
)
v
ar
iab
le
n
o
d
es
th
at
ar
e
lin
k
ed
to
th
e
C
Ns
o
f
th
e
s
am
e
g
r
o
u
p
in
p
ar
allel
in
e
ac
h
g
r
o
u
p
.
M
o
r
e
o
v
e
r
,
i
n
t
h
i
s
p
r
o
p
o
s
e
d
f
o
r
m
,
t
h
e
m
e
s
s
a
g
e
s
w
i
l
l
f
l
o
w
w
i
t
h
i
n
t
h
e
t
w
o
-
p
a
r
t
s
u
b
g
r
a
p
h
c
o
n
s
i
s
t
i
n
g
o
f
t
h
e
g
r
o
u
p
'
s
C
N
s
a
n
d
a
l
l
t
h
e
V
N
s
t
h
a
t
a
r
e
c
o
n
n
e
c
t
e
d
t
o
i
t
s
C
N
s
.
T
h
u
s
,
c
o
n
s
i
d
e
r
i
n
g
t
h
e
C
N
s
a
n
d
V
N
s
a
s
b
e
l
o
n
g
i
n
g
t
o
t
h
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
1
,
J
an
u
ar
y
20
22
:
375
-
3
8
1
376
s
a
m
e
s
e
t
u
n
l
i
k
e
c
o
n
v
e
n
t
i
o
n
a
l
g
r
o
u
p
s
h
u
f
f
l
i
n
g
(
G
S
)
s
c
h
e
d
u
l
i
n
g
[
9
]
-
[
1
8
]
h
a
s
i
m
p
r
o
v
e
d
t
h
e
e
f
f
i
c
i
e
n
c
y
o
f
o
u
r
p
r
o
p
o
s
e
d
a
l
g
o
r
i
t
h
m
.
T
h
e
n
w
e
h
a
v
e
c
o
n
s
i
d
e
r
e
d
t
h
e
s
h
o
r
t
l
e
n
g
t
h
o
f
t
h
e
c
y
c
l
e
t
o
p
a
r
a
m
e
t
e
r
i
z
e
a
g
a
i
n
a
p
a
r
t
o
f
t
h
e
f
a
c
t
o
r
i
z
e
d
g
r
a
p
h
.
T
h
i
s
a
l
l
o
w
e
d
u
s
t
o
p
r
o
p
o
s
e
a
n
e
w
a
l
g
o
r
i
t
h
m
n
o
t
e
d
w
e
i
g
h
t
f
a
c
t
o
r
g
r
o
u
p
s
h
u
f
f
l
e
d
b
e
l
i
e
f
p
r
o
p
a
g
a
t
i
o
n
(
W
F
G
S
B
P
)
b
a
s
e
d
o
n
t
h
e
p
r
e
v
i
o
u
s
i
d
e
a
a
n
d
a
c
y
c
l
e
c
o
u
n
t
i
n
g
a
l
g
o
r
i
t
h
m
d
e
v
e
l
o
p
e
d
i
n
o
u
r
l
a
b
o
r
a
t
o
r
y
.
T
h
i
s
p
r
o
p
o
s
e
d
a
l
g
o
r
i
t
h
m
a
l
l
o
w
s
u
s
t
o
d
e
c
i
p
h
e
r
L
P
D
C
c
o
d
e
s
i
n
t
h
e
i
r
r
e
g
u
l
a
r
a
n
d
n
o
n
-
r
e
g
u
l
a
r
f
o
r
m
m
o
r
e
e
f
f
i
c
i
e
n
t
l
y
.
I
n
s
u
m
m
a
r
y
,
we
p
r
esen
ted
in
th
is
wo
r
k
a
k
n
o
wled
g
e
-
ass
is
ted
b
in
ar
y
p
h
ase
s
h
if
t
k
ey
i
n
(
GSB
P
)
alg
o
r
ith
m
[
1
9
]
t
h
at
u
s
es
a
s
im
p
le
cr
iter
io
n
t
o
s
elec
t
th
e
weig
h
tin
g
f
ac
to
r
s
(
W
Fs
)
.
I
n
ad
d
itio
n
,
th
e
s
u
g
g
ested
tech
n
iq
u
e
wo
r
k
s
o
n
b
o
th
s
y
m
m
etr
ic
an
d
asy
m
m
et
r
ic
g
r
a
p
h
s
.
W
e
co
m
p
ar
e
th
e
p
r
o
p
o
s
ed
m
eth
o
d
to
t
h
e
s
tan
d
ar
d
B
P
an
d
GSB
P
alg
o
r
ith
m
s
in
ter
m
s
o
f
c
o
n
v
e
r
g
en
t
b
eh
av
io
r
a
n
d
d
ec
o
d
in
g
p
e
r
f
o
r
m
an
ce
in
a
s
tu
d
y
o
f
th
e
m
o
s
t
r
ec
en
t
r
ewe
ig
h
te
d
GSB
P
a
lg
o
r
ith
m
[
2
0
]
-
[
2
7
]
.
T
h
e
r
est
o
f
th
e
p
a
p
er
is
o
r
g
a
n
ized
is
b
ein
g
as
:
in
s
ec
tio
n
2
we
p
r
esen
t
th
e
b
asic p
r
in
cip
les
o
f
th
e
GSB
P
d
ec
o
d
i
n
g
co
n
ce
p
t.
Ou
r
p
r
o
p
o
s
ed
alg
o
r
ith
m
is
p
r
esen
ted
in
s
ec
tio
n
3
wh
ile
th
e
e
v
alu
ati
o
n
s
o
f
its
p
er
f
o
r
m
an
c
e
ar
e
p
r
e
s
en
ted
in
s
ec
tio
n
4
.
2.
G
RO
UP
SH
UF
F
L
E
D
B
E
L
I
E
F
P
RO
P
AG
AT
I
O
N
D
E
CO
DING
As
we
ex
p
lain
ed
in
th
e
p
r
ev
io
u
s
p
ar
ag
r
ap
h
,
th
e
GSB
P
al
g
o
r
ith
m
u
s
es
a
m
ix
tu
r
e
o
f
p
ar
allel
an
d
s
eq
u
en
tial
co
d
in
g
at
th
e
s
am
e
tim
e
wh
ich
im
p
r
o
v
es
its
co
n
v
er
g
en
ce
[
2
8
]
,
[
2
9
]
u
n
lik
e
th
e
class
ical
B
P
alg
o
r
ith
m
wh
ich
u
s
es
o
n
ly
p
ar
allel
co
d
in
g
at
ea
ch
iter
atio
n
wh
er
e
all
th
e
v
ar
iab
le
n
o
d
es
p
er
f
o
r
m
th
e
m
ess
ag
e
p
ass
in
g
in
p
ar
allel.
Ass
u
m
e
we
h
av
e
an
L
DPC
co
d
e
o
f
c
o
d
e
wo
r
d
len
g
h
t
N,
th
er
e
will
b
e
N
v
ar
iab
le
n
o
d
es
v
1
,
v
2
,
…,
v
N)
,
ea
h
Gk
is
d
ef
in
ed
as:
=
{
:
Є
{
1
,
2
…
}
=
[
]
}
(
1
)
2
.
1
.
Sy
s
t
e
m
mo
del a
nd
deco
din
g
s
ched
ule
Ass
u
m
e
a
co
d
ewo
r
d
=
(
1
,
2
,
…
,
)
is
b
in
ar
y
p
h
ase
s
h
if
t
k
ey
in
-
m
o
d
u
lated
(
B
PS
K
)
an
d
tr
an
s
m
itted
o
v
er
an
d
a
d
d
itiv
e
wh
ite
Gau
s
s
ien
n
o
is
e
(
AW
G
N)
ch
an
n
el
with
n
o
is
e
v
ar
ian
ce
σ
².
I
f
we
n
o
te
b
y
Y=
(
y
1
,
y
2
,
…,
y
N)
th
e
v
ec
to
r
r
ec
eiv
ed
b
y
th
e
ch
an
n
el
an
d
L
n
th
e
lo
g
-
lik
eli
h
o
o
d
r
atio
(
L
L
R
)
r
elativ
e
to
th
e
v
ar
iab
le
n
o
d
e
n
g
iv
en
b
y
:
=
2
²
∗
(
2
)
L
et
Gg
b
e
th
e
g
th
C
N
g
r
o
u
p
,
1
<
<
an
d
U
b
e
a
s
et
o
f
C
Ns,
i
ter
atio
n
co
u
n
ter
is
I
,
an
d
m
ax
im
u
m
n
u
m
b
er
o
f
iter
atio
n
s
is
I
m
ax
.
T
h
e
GS
B
P a
lg
o
r
ith
m
m
ay
th
e
r
ef
o
r
e
b
e
d
escr
ib
ed
is
b
ein
g
as
s
h
o
wn
in
Fig
u
r
e
1
.
Fig
u
r
e
1
.
GSB
P d
ec
o
d
in
g
clu
s
ter
in
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
A
w
eig
h
ted
g
r
o
u
p
s
h
u
ffled
d
ec
o
d
in
g
f
o
r
lo
w
-
d
en
s
ity
p
a
r
ity
-
ch
ec
k
co
d
es
(
F
a
tima
Za
h
r
a
e
Z
e
n
ko
u
a
r
)
377
T
h
e
p
r
ev
io
u
s
alg
o
r
ith
m
s
h
o
ws
th
at
th
r
ee
f
ac
to
r
s
in
f
lu
en
ce
th
e
r
an
d
o
m
v
ar
ia
b
les
th
at
ar
e
th
e
m
ess
ag
es
f
r
o
m
L
n
to
m
an
d
L
m
to
n
.
T
h
ese
f
ac
to
r
s
ar
e
th
e
co
d
es
r
ec
eiv
ed
f
r
o
m
th
e
ch
an
n
el,
th
eir
s
tr
u
ctu
r
es
an
d
th
e
alg
o
r
ith
m
u
s
ed
f
o
r
d
ec
o
d
in
g
.
W
e
h
av
e
th
u
s
ad
o
p
t
ed
ap
p
r
o
ac
h
es
alr
ea
d
y
p
u
b
lis
h
ed
in
th
e
liter
atu
r
e
u
s
in
g
Gau
s
s
ian
r
an
d
o
m
v
ar
iab
les
wh
er
e
th
e
co
d
e
C
=
(
0
,
0
,
.
.
.
,
0
)
is
m
o
d
u
lated
th
r
o
u
g
h
th
e
B
PS
K
n
o
r
m
b
y
th
e
v
ec
to
r
X
=
(
1,
1,
.
.
.
,
1
)
.
W
e
p
r
esen
ted
in
Fig
u
r
e
2
th
e
b
lo
ck
d
iag
r
am
o
f
o
u
r
alg
o
r
ith
m
wh
er
e
we
u
s
ed
a
h
o
r
izo
n
tal
p
r
o
ce
s
s
in
g
ac
co
r
d
i
n
g
to
th
e
GSB
P
co
n
ce
p
t.
M
o
r
eo
v
er
,
we
c
o
n
s
id
er
ed
two
t
y
p
es
o
f
(
C
N)
n
o
d
es
ac
co
r
d
in
g
to
wh
eth
e
r
th
ey
a
r
e
u
p
d
ated
o
r
n
o
t.
T
h
en
we
u
s
e
a
n
ew
d
iv
is
io
n
o
f
th
e
n
o
n
-
em
p
t
y
in
ter
s
ec
tio
n
s
to
an
aly
ze
th
eir
in
f
lu
en
ce
o
n
th
e
co
n
v
er
g
en
ce
o
f
t
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
.
T
h
u
s
,
f
o
r
ea
ch
s
u
b
iter
atio
n
o
f
ea
c
h
iter
atio
n
we
d
iv
id
e
it
in
to
f
o
u
r
class
es.
I
f
g
in
d
icate
s
th
e
n
u
m
b
er
o
f
th
e
s
u
b
iter
atio
n
,
class
a)
will
b
e
c
o
n
s
titu
ted
b
y
t
h
e
n
o
d
es
o
f
ty
p
e
(
C
N)
u
p
d
ated
at
th
e
h
th
s
u
b
iter
atio
n
s
u
ch
th
at
h
is
g
r
ea
t
er
th
an
g
.
C
las
s
b
)
is
co
n
s
titu
ted
b
y
th
e
n
o
d
es
o
f
th
e
(
g
-
1
)
th
e
g
r
o
u
p
.
C
lass
c)
c
o
n
tain
s
n
o
d
es
o
f
ty
p
e
(
C
N)
th
at
a
r
e
n
o
t
in
class
b
)
,
w
h
er
ea
s
class
d
)
co
n
tain
s
n
o
d
es
o
f
ty
p
e
(
C
N)
th
at
ar
e
n
o
t in
eith
e
r
class
a)
o
r
class
b
)
.
W
e
h
av
e
p
r
esen
ted
o
n
Fig
u
r
e
3
th
e
s
tate
o
f
th
e
f
o
u
r
class
es
af
ter
th
r
ee
s
u
b
-
iter
atio
n
s
f
o
r
a
n
o
v
er
lap
r
atio
r
<0
.
5
.
W
e
h
a
v
e
also
p
r
esen
ted
o
n
Fig
u
r
e
4
th
e
co
m
p
o
s
itio
n
o
f
th
e
f
o
u
r
class
es
f
o
r
an
o
v
er
lap
p
i
n
g
r
atio
r
b
etwe
en
0
.
5
an
d
1
.
L
et
u
s
c
o
n
s
id
er
th
e
l
-
t
h
iter
atio
n
o
f
o
u
r
p
r
o
p
o
s
ed
alg
o
r
ith
m
an
d
c
o
m
p
u
te
th
e
av
er
a
g
e
v
alu
es
o
f
th
e
u
p
d
ated
v
a
r
iab
le
s
.
Fo
r
th
is
,
letµc
g
,
X(
l)
b
e
th
e
m
ea
n
o
f
th
e
m
ess
ag
e
s
en
t
b
y
a
C
las
s
-
x
C
N,
th
at
is
,
µ
,
(
)
=
{
,
(
→
)
}
,
wh
er
e
m
is
a
m
em
b
e
r
o
f
th
e
class
C
N
s
,
n
is
a
VN
th
at
lin
k
s
to
m
in
t
h
e
g
th
s
u
b
iter
atio
n
o
f
th
e
lth
iter
atio
n
.
W
e
b
eg
in
with
th
e
VN
u
p
d
ate
eq
u
atio
n
.
Su
p
p
o
s
e
th
e
VN
o
f
d
eg
r
ee
-
i,
n
is
co
n
n
ec
ted
to
p
C
Ns
o
f
class
d
,
q
C
Ns
o
f
class
b
an
d
i
-
p
-
q
C
Ns
o
f
class
a.
Fo
r
th
e
g
-
th
s
u
b
iter
atio
n
o
f
th
e
l
-
t
h
iter
atio
n
,
we
h
av
e,
f
o
r
g
=
1
.
Fig
u
r
e
2
.
Af
ter
two
s
u
b
-
iter
ati
o
n
s
,
an
ex
a
m
p
le
o
f
GSB
P
Fig
u
r
e
3
.
W
h
en
R
<
0
.
5
,
a
n
ex
am
p
le
o
f
NDGSB
P a
f
ter
th
r
ee
s
u
b
-
iter
atio
n
s
Fig
u
r
e
4
.
An
ap
p
licatio
n
f
o
r
N
DGSB
P f
o
llo
win
g
th
r
ee
s
u
b
-
iter
atio
n
s
wh
en
0
.
5
≤
R
≤
1
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
1
,
J
an
u
ar
y
20
22
:
375
-
3
8
1
378
3.
P
RO
P
O
SE
D
WF
G
S
B
P
AL
G
O
RIT
H
M
T
h
e
s
u
g
g
ested
W
FGSB
P
m
eth
o
d
is
d
escr
ib
ed
in
th
is
p
ar
t,
wh
ich
d
eter
m
in
es
th
e
r
ewe
ig
h
tin
g
p
ar
am
eter
s
b
ased
o
n
s
im
p
le
cr
iter
ia.
B
ec
au
s
e
th
e
tech
n
iq
u
e
d
o
es
n
o
t
n
e
ed
a
s
y
m
m
etr
ical
f
ac
to
r
g
r
a
p
h
,
it
m
a
y
b
e
u
s
ed
to
g
en
er
ate
L
DPC
co
d
es
with
b
o
th
r
eg
u
lar
a
n
d
ir
r
e
g
u
lar
d
esig
n
s
.
W
e'
ll
g
o
th
r
o
u
g
h
th
e
cy
cle
c
o
u
n
tin
g
m
eth
o
d
b
r
ief
ly
b
ef
o
r
e
m
o
v
in
g
o
n
to
o
u
r
m
ess
ag
e
f
o
r
war
d
in
g
r
u
les
an
d
th
e
W
FGSB
P
d
ec
o
d
in
g
alg
o
r
ith
m
f
lo
w.
T
h
e
GSB
P
m
eth
o
d
,
w
h
ile
im
p
r
o
v
es
d
ec
o
d
in
g
r
esu
l
ts
co
n
v
er
g
en
ce
,
n
o
n
eth
eless
h
as
a
lo
t
o
f
f
laws,
p
ar
ticu
lar
ly
in
ter
m
s
o
f
im
p
le
m
en
tatio
n
.
W
e
p
r
esen
t
th
e
W
FGSB
P
m
eth
o
d
f
o
r
r
e
g
u
lar
a
n
d
ir
r
eg
u
lar
L
DPC
co
d
es su
g
g
ested
f
o
r
th
e
GSB
P to
m
in
im
ize
co
m
p
lex
ity
as sh
o
wn
in
Fig
u
r
e
5
.
Fig
u
r
e
5
.
W
eig
h
ted
f
ac
to
r
s
h
u
f
f
led
g
r
o
u
p
e
d
b
elief
p
r
o
p
ag
ati
o
n
alg
o
r
ith
m
4.
SI
M
UL
A
T
I
O
N
A
ND
RE
SU
L
T
S
W
e
h
av
e
ch
o
s
en
th
e
t
h
r
ee
co
d
es C
1
,
C
2
,
an
d
C
3
.
C
1
: L
DPC
co
d
e
o
f
co
d
ewo
r
d
s
ize
N
=
1
2
9
6
a
n
d
co
d
e
r
atio
1
/2
f
o
r
t
h
e
I
E
E
E
8
0
2
.
1
1
s
tan
d
a
r
d
[
3
0
]
,
[
3
1
]
.
C
2
: L
DPC
co
d
e
o
f
N
=
1
0
5
6
a
n
d
co
d
e
r
atio
1
/
2
f
o
r
th
e
I
E
E
E
8
0
2
.
1
6
s
tan
d
ar
d
[
1
0
]
.
C
3
:
An
in
d
ep
e
n
d
en
t
r
ep
licate
ac
cu
m
u
late
(
I
R
A)
c
o
d
e
o
f
N
=
1
0
2
4
an
d
co
d
e
r
atio
1
/2
,
wh
er
e
th
e
d
is
tr
ib
u
ti
o
n
p
o
ly
n
o
m
ials
λ
(
x
)
an
d
ρ
(
x
)
f
o
r
th
e
v
ar
ian
t v
e
r
s
u
s
co
n
tr
o
l lin
k
s
,
r
esp
ec
tiv
ely
,
ar
e
d
e
f
in
ed
as:
(
)
=
0
.
3330
+
0
.
3851
2
+
0
.
0002
3
+
0
.
13
92
6
+
0
.
1425
7
(
3
)
(
)
=
0
.
9849
5
+
0
.
0151
6
(
4
)
J
o
h
n
s
o
n
an
d
W
eller
i
n
[
3
2
]
,
T
atsu
k
awa
et
a
l
.
[
3
3
]
,
th
e
I
R
A
co
d
e
is
p
r
esen
ted
an
d
p
r
o
v
en
to
b
e
ap
p
r
o
p
r
iate
f
o
r
th
e
AW
GN
ch
an
n
el.
W
e
cr
ea
te
s
u
ch
an
I
R
A
co
d
e
at
r
an
d
o
m
u
s
in
g
an
ap
p
r
o
ac
h
d
escr
ib
ed
in
[
3
3
]
,
wh
ich
d
o
es
n
o
t
u
s
e
a
n
y
tech
n
i
q
u
e
to
in
cr
ea
s
e
lo
ca
l
g
ir
th
s
.
I
t'
s
b
ec
au
s
e
we
wan
t
to
in
v
esti
g
ate
if
th
e
s
u
g
g
ested
g
r
o
u
p
in
g
'
s
p
er
f
o
r
m
an
ce
is
in
f
lu
en
ce
d
b
y
T
a
n
n
er
g
r
ap
h
t
o
p
o
lo
g
ies.
W
e
r
u
n
th
e
s
im
u
latio
n
s
o
n
a
n
AW
GN
ca
n
al
af
ter
B
PS
K
m
o
d
u
latin
g
f
r
o
m
1
d
B
to
5
d
B
at
0
.
5
d
B
in
ter
v
als
u
n
til
th
e
n
u
m
b
er
o
f
b
it
er
r
o
r
s
in
th
e
ev
alu
ate
d
c
o
d
e
wo
r
d
s
r
ea
ch
es
1
0
5
o
r
th
e
n
u
m
b
e
r
o
f
tr
ials
r
ea
ch
es
10
7
(
=
5
)
.
W
e
s
im
u
late
th
e
W
FG
SB
P
d
ec
o
d
in
g
f
o
r
r
4
,
8
an
d
1
6
,
alo
n
g
with
th
e
B
P
r
u
n
(
g
r
o
u
p
in
g
r
=
1
)
.
T
h
e
a
v
er
ag
e
n
u
m
b
er
o
f
iter
atio
n
s
is
s
h
o
wn
in
Fig
u
r
es
6
-
8
.
At
v
ir
tu
a
lly
all
o
b
s
er
v
atio
n
lo
ca
tio
n
s
,
th
e
m
ea
n
v
alu
e
f
o
r
t
h
e
o
r
ig
in
al
GSB
P d
ec
o
d
in
g
is
h
ig
h
er
o
r
eq
u
al
to
th
at
f
o
r
W
FGSB
P d
ec
o
d
in
g
.
I
n
co
n
cl
u
s
io
n
,
ev
e
n
if
th
e
m
ax
im
u
m
n
u
m
b
er
o
f
iter
atio
n
s
is
m
o
d
est,
th
e
s
u
g
g
ested
m
eth
o
d
ca
n
en
h
an
ce
th
e
p
er
f
o
r
m
a
n
ce
o
f
th
e
GSB
P
d
ec
o
d
in
g
.
W
h
en
s
ig
n
al
-
to
-
n
o
is
e
r
atio
(
SNR
)
r
ea
ch
es
4
.
5
[
d
B
]
,
th
e
im
p
ac
t is v
er
y
n
o
ticea
b
le
(
wh
e
n
th
e
ca
n
al
n
o
is
e
h
as a
d
ee
p
im
p
ac
t)
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
A
w
eig
h
ted
g
r
o
u
p
s
h
u
ffled
d
ec
o
d
in
g
f
o
r
lo
w
-
d
en
s
ity
p
a
r
ity
-
ch
ec
k
co
d
es
(
F
a
tima
Za
h
r
a
e
Z
e
n
ko
u
a
r
)
379
Fig
u
r
e
6
.
B
E
R
p
er
f
o
r
m
an
ce
c
o
m
p
ar
is
o
n
o
f
L
DPC
co
d
es u
s
in
g
th
e
d
ec
o
d
in
g
alg
o
r
ith
m
: WGS
B
P,
G
SB
P,
an
d
B
P f
o
r
C
1
Fig
u
r
e
7
.
B
E
R
p
er
f
o
r
m
an
ce
c
o
m
p
ar
is
o
n
o
f
L
DPC
co
d
es u
s
in
g
th
e
d
ec
o
d
in
g
alg
o
r
ith
m
: WGS
B
P,
G
SB
P,
an
d
B
P f
o
r
C
2
Fig
u
r
e
8
.
B
E
R
p
er
f
o
r
m
an
ce
c
o
m
p
ar
is
o
n
o
f
L
DPC
co
d
es u
s
in
g
th
e
d
ec
o
d
in
g
alg
o
r
ith
m
: WGS
B
P,
G
SB
P,
an
d
B
P f
o
r
C
3
5.
CO
NCLU
SI
O
N
Fo
r
th
e
GSB
P
d
ec
o
d
in
g
m
eth
o
d
,
we
s
u
g
g
ested
a
g
r
o
u
p
in
g
b
ased
o
n
th
e
weig
h
ted
p
ar
am
et
er
s
tr
ateg
y
in
th
is
ar
ticle.
W
e
al
s
o
f
o
u
n
d
th
at
th
e
s
u
g
g
ested
ap
p
r
o
ac
h
m
ay
im
p
r
o
v
e
er
r
o
r
co
r
r
ec
tio
n
p
er
f
o
r
m
an
ce
an
d
s
p
ee
d
o
f
co
n
v
er
g
en
ce
.
I
n
d
e
ed
,
s
im
u
latio
n
f
in
d
in
g
s
d
em
o
n
s
tr
ate
th
at
th
e
p
r
o
p
o
s
ed
W
FG
SB
P
d
ec
o
d
in
g
alg
o
r
ith
m
m
a
y
d
eliv
er
g
o
o
d
r
e
s
u
lts
wh
ile
n
ee
d
in
g
f
ewe
r
d
ec
o
d
in
g
r
o
u
n
d
s
th
an
th
e
GSB
P
m
eth
o
d
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
1
,
J
an
u
ar
y
20
22
:
375
-
3
8
1
380
RE
F
E
R
E
NC
E
S
[
1
]
R
.
G
a
l
l
a
g
e
r
,
"
Lo
w
-
d
e
n
si
t
y
p
a
r
i
t
y
-
c
h
e
c
k
c
o
d
e
s
,
"
i
n
I
RE
T
r
a
n
s
a
c
t
i
o
n
s
o
n
I
n
f
o
rm
a
t
i
o
n
T
h
e
o
r
y
,
v
o
l
.
8
,
n
o
.
1
,
p
p
.
2
1
-
2
8
,
J
a
n
u
a
r
y
1
9
6
2
,
d
o
i
:
1
0
.
1
1
0
9
/
TI
T.
1
9
6
2
.
1
0
5
7
6
8
3
.
[
2
]
D
.
J.
C
.
M
a
c
k
a
y
a
n
d
R
.
M
.
N
e
a
l
,
“
N
e
a
r
S
h
a
n
n
o
n
l
i
mi
t
p
e
r
f
o
r
m
a
n
c
e
o
f
l
o
w
d
e
n
s
i
t
y
p
a
r
i
t
y
c
h
e
c
k
c
o
d
e
s,”
El
e
c
t
r
o
n
.
L
e
t
t
.
,
v
o
l
.
3
3
,
n
o
.
6
,
p
p
.
4
5
7
-
4
5
8
,
M
a
r
.
1
9
9
7
,
d
o
i
:
1
0
.
1
0
4
9
/
e
l
:
1
9
9
7
0
3
6
2
.
[
3
]
N
.
El
M
a
a
m
mar,
S
.
B
r
i
,
a
n
d
J
.
F
o
s
h
i
,
“
A
c
o
mp
a
r
a
t
i
v
e
s
i
m
u
l
a
t
i
o
n
s
t
u
d
y
o
f
d
i
f
f
e
r
e
n
t
d
e
c
o
d
i
n
g
s
c
h
e
me
s
i
n
LD
P
C
c
o
d
e
d
O
F
D
M
sy
st
e
ms
f
o
r
N
B
-
P
LC
c
h
a
n
n
e
l
a
p
p
r
o
a
c
h
,
”
I
n
d
o
n
e
s
i
a
n
J
o
u
r
n
a
l
o
f
El
e
c
t
ri
c
a
l
E
n
g
i
n
e
e
ri
n
g
a
n
d
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
,
v
o
l
.
1
5
,
n
o
.
1
,
pp
.
3
0
6
-
3
1
3
,
j
u
l
y
2
0
1
9
,
d
o
i
:
1
0
.
1
1
5
9
1
/
i
j
e
e
c
s.
v
1
5
.
i
1
.
p
p
3
0
6
-
3
1
3
.
[
4
]
T.
K
.
M
o
o
n
,
“
Er
r
o
r
C
o
r
r
e
c
t
i
o
n
C
o
d
i
n
g
:
M
a
t
h
e
mat
i
c
a
l
M
e
t
h
o
d
s
a
n
d
A
l
g
o
r
i
t
h
ms,”
W
i
l
e
y
-
B
l
a
c
k
w
e
l
l
,
Ju
l
y
1
,
2
0
0
5
,
d
o
i
:
1
0
.
1
0
0
2
/
0
4
7
1
7
3
9
2
1
9
.
[
5
]
C
.
B
e
r
r
o
u
,
A
.
G
l
a
v
i
e
u
x
,
a
n
d
P
.
T
h
i
t
i
m
a
j
s
h
i
m
a
,
"
N
e
a
r
S
h
a
n
n
o
n
l
i
m
i
t
e
r
r
o
r
-
c
o
r
r
e
c
t
i
n
g
c
o
d
i
n
g
a
n
d
d
e
c
o
d
i
n
g
:
T
u
r
b
o
-
c
o
d
e
s
.
1
,
"
P
r
o
c
e
e
d
i
n
g
s
o
f
I
C
C
'
9
3
-
I
E
E
E
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
r
e
n
c
e
o
n
C
o
m
m
u
n
i
c
a
t
i
o
n
s
,
v
o
l
.
2
,
1
9
9
3
,
p
p
.
1
0
6
4
-
1
0
7
0
,
d
o
i
:
1
0
.
1
1
0
9
/
I
C
C
.
1
9
9
3
.
3
9
7
4
4
1
.
[
6
]
N
.
El
M
a
a
mm
a
r
,
S
.
B
r
i
,
a
n
d
J
.
F
o
s
h
i
,
“
P
e
r
f
o
r
ma
n
c
e
s
C
o
n
c
a
t
e
n
a
t
e
d
LD
P
C
b
a
se
d
S
T
B
C
-
O
F
D
M
S
y
s
t
e
m
a
n
d
M
R
C
R
e
c
e
i
v
e
r
s
,
”
I
n
d
o
n
e
si
a
n
J
o
u
r
n
a
l
o
f
E
l
e
c
t
r
i
c
a
l
E
n
g
i
n
e
e
r
i
n
g
a
n
d
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
,
v
o
l
.
8
,
n
o
.
1
,
p
p
.
6
2
2
-
6
3
0
,
F
e
b
r
u
a
r
y
2
0
1
8
,
d
o
i
:
1
0
.
1
1
5
9
1
/
i
j
e
c
e
.
v
8
i
1
.
p
p
6
2
2
-
6
3
0
.
[
7
]
F
.
R
.
K
sc
h
i
s
c
h
a
n
g
,
B
.
J.
F
r
e
y
,
a
n
d
H
.
-
Lo
e
l
i
g
e
r
,
"
F
a
c
t
o
r
g
r
a
p
h
s
a
n
d
t
h
e
su
m
-
p
r
o
d
u
c
t
a
l
g
o
r
i
t
h
m,"
i
n
I
EEE
T
ra
n
sa
c
t
i
o
n
s
o
n
I
n
f
o
rm
a
t
i
o
n
T
h
e
o
r
y
,
v
o
l
.
4
7
,
n
o
.
2
,
p
p
.
4
9
8
-
5
1
9
,
F
e
b
.
2
0
0
1
,
d
o
i
:
1
0
.
1
1
0
9
/
1
8
.
9
1
0
5
7
2
.
[
8
]
H
.
X
i
a
o
a
n
d
A
.
H
.
B
a
n
i
h
a
s
h
e
mi
,
"
G
r
a
p
h
-
b
a
se
d
messa
g
e
-
p
a
s
si
n
g
s
c
h
e
d
u
l
e
s
f
o
r
d
e
c
o
d
i
n
g
LD
P
C
c
o
d
e
s
,
"
i
n
I
EE
E
T
ra
n
s
a
c
t
i
o
n
s
o
n
C
o
m
m
u
n
i
c
a
t
i
o
n
s
,
v
o
l
.
5
2
,
n
o
.
1
2
,
p
p
.
2
0
9
8
-
2
1
0
5
,
D
e
c
.
2
0
0
4
,
d
o
i
:
1
0
.
1
1
0
9
/
TC
O
M
M
.
2
0
0
4
.
8
3
8
7
3
0
.
[
9
]
J.
S
.
Y
e
d
i
d
i
a
,
W
.
T.
F
r
e
e
ma
n
,
a
n
d
Y
.
W
e
i
ss,
“
U
n
d
e
r
st
a
n
d
i
n
g
b
e
l
i
e
f
p
r
o
p
a
g
a
t
i
o
n
a
n
d
i
t
s
g
e
n
e
r
a
l
i
z
a
t
i
o
n
s,
”
E
x
p
l
o
r
i
n
g
a
r
t
i
f
i
c
i
a
l
i
n
t
e
l
l
i
g
e
n
c
e
i
n
t
h
e
n
e
w
m
i
l
l
e
n
n
i
u
m
,
v
o
l
.
8
,
p
p
.
2
3
6
-
2
3
9
,
2
0
0
3
.
[
1
0
]
M
.
J
.
W
a
i
n
w
r
i
g
h
t
,
T
.
S
.
J
a
a
k
k
o
l
a
,
a
n
d
A
.
S
.
W
i
l
l
s
k
y
,
"
T
r
e
e
-
b
a
s
e
d
r
e
p
a
r
a
m
e
t
e
r
i
z
a
t
i
o
n
f
r
a
m
e
w
o
r
k
f
o
r
a
n
a
l
y
s
i
s
o
f
s
u
m
-
p
r
o
d
u
c
t
a
n
d
r
e
l
a
t
e
d
a
l
g
o
r
i
t
h
m
s
,
"
i
n
I
E
E
E
T
r
a
n
s
a
c
t
i
o
n
s
o
n
I
n
f
o
r
m
a
t
i
o
n
T
h
e
o
r
y
,
v
o
l
.
4
9
,
n
o
.
5
,
p
p
.
1
1
2
0
-
1
1
4
6
,
M
a
y
2
0
0
3
,
d
o
i
:
1
0
.
1
1
0
9
/
T
I
T
.
2
0
0
3
.
8
1
0
6
4
2
.
[
1
1
]
M
.
J
.
W
a
i
n
w
r
i
g
h
t
,
T
.
S
.
J
a
a
k
k
o
l
a
,
a
n
d
A
.
S
.
W
i
l
l
s
k
y
,
"
A
n
e
w
c
l
a
ss
o
f
u
p
p
e
r
b
o
u
n
d
s
o
n
t
h
e
l
o
g
p
a
r
t
i
t
i
o
n
f
u
n
c
t
i
o
n
,
"
i
n
I
EE
E
T
ra
n
s
a
c
t
i
o
n
s
o
n
I
n
f
o
rm
a
t
i
o
n
T
h
e
o
r
y
,
v
o
l
.
5
1
,
n
o
.
7
,
p
p
.
2
3
1
3
-
2
3
3
5
,
Ju
l
y
2
0
0
5
,
d
o
i
:
1
0
.
1
1
0
9
/
TI
T.
2
0
0
5
.
8
5
0
0
9
1
.
[
1
2
]
T.
R
.
H
a
l
f
o
r
d
a
n
d
K
.
M
.
C
h
u
g
g
,
"
A
n
a
l
g
o
r
i
t
h
m
f
o
r
c
o
u
n
t
i
n
g
s
h
o
r
t
c
y
c
l
e
s
i
n
b
i
p
a
r
t
i
t
e
g
r
a
p
h
s
,
"
i
n
I
EE
E
T
ra
n
s
a
c
t
i
o
n
s
o
n
I
n
f
o
rm
a
t
i
o
n
T
h
e
o
r
y
,
v
o
l
.
5
2
,
n
o
.
1
,
p
p
.
2
8
7
-
2
9
2
,
J
a
n
.
2
0
0
6
,
d
o
i
:
1
0
.
1
1
0
9
/
TI
T.
2
0
0
5
.
8
6
0
4
7
2
.
[
1
3
]
J.
L
i
u
a
n
d
R
.
C
.
d
e
La
m
a
r
e
,
"
N
o
v
e
l
i
n
t
e
n
t
i
o
n
a
l
p
u
n
c
t
u
r
i
n
g
s
c
h
e
mes
f
o
r
f
i
n
i
t
e
-
l
e
n
g
t
h
i
r
r
e
g
u
l
a
r
LD
P
C
c
o
d
e
s,"
2
0
1
1
1
7
t
h
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
r
e
n
c
e
o
n
D
i
g
i
t
a
l
S
i
g
n
a
l
Pro
c
e
ss
i
n
g
(
D
S
P)
,
2
0
1
1
,
p
p
.
1
-
6
,
d
o
i
:
1
0
.
1
1
0
9
/
I
C
D
S
P
.
2
0
1
1
.
6
0
0
4
9
0
3
.
[
1
4
]
J.
L
i
u
a
n
d
R
.
C
.
d
e
La
m
a
r
e
,
"
F
i
n
i
t
e
-
l
e
n
g
t
h
r
a
t
e
-
c
o
mp
a
t
i
b
l
e
LD
P
C
c
o
d
e
s
b
a
se
d
o
n
e
x
t
e
n
si
o
n
t
e
c
h
n
i
q
u
e
s
,
"
2
0
1
1
8
t
h
I
n
t
e
r
n
a
t
i
o
n
a
l
S
y
m
p
o
s
i
u
m
o
n
Wi
r
e
l
e
ss
C
o
m
m
u
n
i
c
a
t
i
o
n
S
y
st
e
m
s
,
2
0
1
1
,
p
p
.
4
1
-
4
5
,
d
o
i
:
1
0
.
1
1
0
9
/
I
S
W
C
S
.
2
0
1
1
.
6
1
2
5
3
0
6
.
[
1
5
]
H
.
W
y
m
e
e
r
sc
h
,
F
.
P
e
n
n
a
,
a
n
d
V
.
S
a
v
i
ć
,
"
U
n
i
f
o
r
ml
y
r
e
w
e
i
g
h
t
e
d
b
e
l
i
e
f
p
r
o
p
a
g
a
t
i
o
n
:
A
f
a
c
t
o
r
g
r
a
p
h
a
p
p
r
o
a
c
h
,
"
2
0
1
1
I
EE
E
I
n
t
e
r
n
a
t
i
o
n
a
l
S
y
m
p
o
si
u
m
o
n
I
n
f
o
rm
a
t
i
o
n
T
h
e
o
ry
Pr
o
c
e
e
d
i
n
g
s
,
2
0
1
1
,
p
p
.
2
0
0
0
-
2
0
0
4
,
d
o
i
:
1
0
.
1
1
0
9
/
I
S
I
T.
2
0
1
1
.
6
0
3
3
9
0
5
.
[
1
6
]
H
.
W
y
me
e
r
sch
,
F
.
P
e
n
n
a
,
a
n
d
V
.
S
a
v
i
c
,
"
U
n
i
f
o
r
ml
y
R
e
w
e
i
g
h
t
e
d
B
e
l
i
e
f
P
r
o
p
a
g
a
t
i
o
n
f
o
r
Est
i
ma
t
i
o
n
a
n
d
D
e
t
e
c
t
i
o
n
i
n
W
i
r
e
l
e
ss
N
e
t
w
o
r
k
s,"
i
n
I
E
EE
T
ra
n
s
a
c
t
i
o
n
s
o
n
W
i
re
l
e
ss
C
o
m
m
u
n
i
c
a
t
i
o
n
s
,
v
o
l
.
1
1
,
n
o
.
4
,
p
p
.
1
5
8
7
-
1
5
9
5
,
A
p
r
i
l
2
0
1
2
,
d
o
i
:
1
0
.
1
1
0
9
/
TW
C
.
2
0
1
2
.
0
2
1
4
1
2
.
1
1
1
5
0
9
.
[
1
7
]
J.
Li
u
a
n
d
R
.
C
.
d
e
La
m
a
r
e
,
"
L
o
w
-
La
t
e
n
c
y
R
e
w
e
i
g
h
t
e
d
B
e
l
i
e
f
P
r
o
p
a
g
a
t
i
o
n
D
e
c
o
d
i
n
g
f
o
r
LD
P
C
C
o
d
e
s
,
"
i
n
I
EEE
C
o
m
m
u
n
i
c
a
t
i
o
n
s
L
e
t
t
e
rs
,
v
o
l
.
1
6
,
n
o
.
1
0
,
p
p
.
1
6
6
0
-
1
6
6
3
,
O
c
t
o
b
e
r
2
0
1
2
,
d
o
i
:
1
0
.
1
1
0
9
/
LC
O
M
M
.
2
0
1
2
.
0
8
0
3
1
2
.
1
2
1
3
0
7
.
[
1
8
]
R
.
Ta
n
n
e
r
,
"
A
r
e
c
u
r
s
i
v
e
a
p
p
r
o
a
c
h
t
o
l
o
w
c
o
m
p
l
e
x
i
t
y
c
o
d
e
s,"
i
n
I
EEE
T
r
a
n
s
a
c
t
i
o
n
s
o
n
I
n
f
o
rm
a
t
i
o
n
T
h
e
o
ry
,
v
o
l
.
2
7
,
n
o
.
5
,
p
p
.
5
3
3
-
5
4
7
,
S
e
p
t
e
mb
e
r
1
9
8
1
,
d
o
i
:
1
0
.
1
1
0
9
/
TI
T.
1
9
8
1
.
1
0
5
6
4
0
4
.
[
1
9
]
W
.
R
y
a
n
a
n
d
S
.
L
i
n
,
“
C
h
a
n
n
e
l
C
o
d
e
s
:
C
l
a
ssi
c
a
l
a
n
d
M
o
d
e
r
n
,
”
C
a
m
b
r
i
d
g
e
:
C
a
m
b
r
i
d
g
e
U
n
i
v
e
rsi
t
y
Pre
ss
,
2
0
0
9
,
d
o
i
:
1
0
.
1
0
1
7
/
C
B
O
9
7
8
0
5
1
1
8
0
3
2
5
3
.
[
2
0
]
T.
M
.
C
o
v
e
r
a
n
d
J.
A
.
T
h
o
mas
,
“
El
e
m
e
n
t
s
o
f
I
n
f
o
r
mat
i
o
n
T
h
e
o
r
y
,
”
2
n
d
e
d
i
t
i
o
n
.
W
i
l
e
y
-
I
n
t
e
rs
c
i
e
n
c
e
,
2
0
0
6
.
[
2
1
]
X
i
a
o
-
Y
u
H
u
,
E.
E
l
e
f
t
h
e
r
i
o
u
,
a
n
d
D
.
M
.
A
r
n
o
l
d
,
"
R
e
g
u
l
a
r
a
n
d
i
r
r
e
g
u
l
a
r
p
r
o
g
r
e
ssi
v
e
e
d
g
e
-
g
r
o
w
t
h
t
a
n
n
e
r
g
r
a
p
h
s,"
i
n
I
EE
E
T
ra
n
s
a
c
t
i
o
n
s
o
n
I
n
f
o
rm
a
t
i
o
n
T
h
e
o
r
y
,
v
o
l
.
5
1
,
n
o
.
1
,
p
p
.
3
8
6
-
3
9
8
,
J
a
n
.
2
0
0
5
,
d
o
i
:
1
0
.
1
1
0
9
/
TI
T.
2
0
0
4
.
8
3
9
5
4
1
.
[
2
2
]
D
.
V
u
k
o
b
r
a
t
o
v
i
c
a
n
d
V
.
S
e
n
k
,
"
G
e
n
e
r
a
l
i
z
e
d
A
C
E
C
o
n
st
r
a
i
n
e
d
P
r
o
g
r
e
ssi
v
e
Ed
g
e
-
G
r
o
w
t
h
LD
P
C
C
o
d
e
D
e
si
g
n
,
"
i
n
I
EEE
C
o
m
m
u
n
i
c
a
t
i
o
n
s L
e
t
t
e
rs
,
v
o
l
.
1
2
,
n
o
.
1
,
p
p
.
3
2
-
3
4
,
J
a
n
u
a
r
y
2
0
0
8
,
d
o
i
:
1
0
.
1
1
0
9
/
L
C
O
M
M
.
2
0
0
8
.
0
7
1
4
5
7
.
[
2
3
]
A
.
G
.
D
.
U
c
h
ô
a
,
C
.
H
e
a
l
y
,
R
.
C
.
d
e
La
mare
,
a
n
d
R
.
D
.
S
o
u
z
a
,
"
LD
P
C
c
o
d
e
s
b
a
se
d
o
n
P
r
o
g
r
e
ssi
v
e
E
d
g
e
G
r
o
w
t
h
t
e
c
h
n
i
q
u
e
s
f
o
r
b
l
o
c
k
f
a
d
i
n
g
c
h
a
n
n
e
l
s
,
"
2
0
1
1
8
t
h
I
n
t
e
rn
a
t
i
o
n
a
l
S
y
m
p
o
si
u
m
o
n
Wi
r
e
l
e
s
s
C
o
m
m
u
n
i
c
a
t
i
o
n
S
y
s
t
e
m
s
,
2
0
1
1
,
p
p
.
3
9
2
-
3
9
6
,
d
o
i
:
1
0
.
1
1
0
9
/
I
S
W
C
S
.
2
0
1
1
.
6
1
2
5
3
9
0
.
[
2
4
]
Y
.
Y
a
n
g
,
J.
-
Z
.
H
u
a
n
g
,
S
.
T
o
n
g
,
a
n
d
X
.
-
M
.
W
a
n
g
,
“
R
e
p
l
i
c
a
h
o
r
i
z
o
n
t
a
l
-
h
h
u
f
f
l
e
d
i
t
e
r
a
t
i
v
e
d
e
c
o
d
i
n
g
o
f
l
o
w
-
d
e
n
si
t
y
p
a
r
i
t
y
-
c
h
e
c
k
c
o
d
e
s
,
”
T
h
e
J
o
u
rn
a
l
o
f
C
h
i
n
a
U
n
i
v
e
rsi
t
i
e
s
o
f
P
o
st
s
a
n
d
T
e
l
e
c
o
m
m
u
n
i
c
a
t
i
o
n
s
,
v
o
l
.
1
3
,
n
o
.
6
,
p
p
.
32
-
4
0
,
Ju
n
.
2
0
1
0
,
d
o
i
:
1
0
.
1
0
1
6
/
S
1
0
0
5
-
8
8
8
5
(
0
9
)
6
0
5
2
2
-
7.
[
2
5
]
T.
J
.
R
i
c
h
a
r
d
so
n
a
n
d
R
.
L.
U
r
b
a
n
k
e
,
"
Th
e
c
a
p
a
c
i
t
y
o
f
l
o
w
-
d
e
n
s
i
t
y
p
a
r
i
t
y
-
c
h
e
c
k
c
o
d
e
s
u
n
d
e
r
mess
a
g
e
-
p
a
ssi
n
g
d
e
c
o
d
i
n
g
,
"
i
n
I
E
EE
T
ra
n
s
a
c
t
i
o
n
s
o
n
I
n
f
o
rm
a
t
i
o
n
T
h
e
o
r
y
,
v
o
l
.
4
7
,
n
o
.
2
,
p
p
.
5
9
9
-
6
1
8
,
F
e
b
2
0
0
1
,
d
o
i
:
1
0
.
1
1
0
9
/
1
8
.
9
1
0
5
7
7
.
[
2
6
]
S
.
-
Y
.
C
h
u
n
g
,
T.
J.
R
i
c
h
a
r
d
s
o
n
,
a
n
d
R
.
L.
U
r
b
a
n
k
e
,
"
A
n
a
l
y
si
s
o
f
s
u
m
-
p
r
o
d
u
c
t
d
e
c
o
d
i
n
g
o
f
l
o
w
-
d
e
n
si
t
y
p
a
r
i
t
y
-
c
h
e
c
k
c
o
d
e
s
u
s
i
n
g
a
G
a
u
ss
i
a
n
a
p
p
r
o
x
i
ma
t
i
o
n
,
"
i
n
I
EE
E
T
ra
n
s
a
c
t
i
o
n
s
o
n
I
n
f
o
rm
a
t
i
o
n
T
h
e
o
ry
,
v
o
l
.
4
7
,
n
o
.
2
,
p
p
.
6
5
7
-
6
7
0
,
F
e
b
2
0
0
1
,
d
o
i
:
1
0
.
1
1
0
9
/
1
8
.
9
1
0
5
8
0
.
[
2
7
]
S
.
T
e
n
B
r
i
n
k
,
G
.
K
r
a
m
e
r
,
a
n
d
A
.
A
sh
i
k
h
mi
n
,
"
D
e
s
i
g
n
o
f
l
o
w
-
d
e
n
s
i
t
y
p
a
r
i
t
y
-
c
h
e
c
k
c
o
d
e
s
f
o
r
mo
d
u
l
a
t
i
o
n
a
n
d
d
e
t
e
c
t
i
o
n
,
"
i
n
I
E
EE
T
ra
n
s
a
c
t
i
o
n
s
o
n
C
o
m
m
u
n
i
c
a
t
i
o
n
s
,
v
o
l
.
5
2
,
n
o
.
4
,
p
p
.
6
7
0
-
6
7
8
,
A
p
r
i
l
2
0
0
4
,
d
o
i
:
1
0
.
1
1
0
9
/
T
C
O
M
M
.
2
0
0
4
.
8
2
6
3
7
0
.
[
2
8
]
E.
S
h
a
r
o
n
,
A
.
A
s
h
i
k
h
mi
n
,
a
n
d
S
.
Li
t
sy
n
,
"
A
n
a
l
y
si
s
o
f
L
o
w
-
D
e
n
s
i
t
y
P
a
r
i
t
y
-
C
h
e
c
k
C
o
d
e
s
B
a
s
e
d
o
n
EX
I
T
F
u
n
c
t
i
o
n
s,"
i
n
I
EEE
T
ra
n
s
a
c
t
i
o
n
s
o
n
C
o
m
m
u
n
i
c
a
t
i
o
n
s
,
v
o
l
.
5
4
,
n
o
.
7
,
p
p
.
1
3
4
9
-
1
3
4
9
,
Ju
l
y
2
0
0
6
,
d
o
i
:
1
0
.
1
1
0
9
/
TC
O
M
M
.
2
0
0
6
.
8
7
7
9
3
5
.
[
2
9
]
Z.
S
o
n
g
,
R
.
Y
u
,
a
n
d
P
.
M
a
,
"
G
a
u
ssi
a
n
A
p
p
r
o
x
i
ma
t
i
o
n
f
o
r
LD
P
C
C
o
d
e
s
u
n
d
e
r
G
r
o
u
p
S
h
u
f
f
l
e
d
B
e
l
i
e
f
P
r
o
p
a
g
a
t
i
o
n
D
e
c
o
d
i
n
g
,
"
2
0
1
0
6
t
h
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
Wi
r
e
l
e
ss
C
o
m
m
u
n
i
c
a
t
i
o
n
s
N
e
t
w
o
rk
i
n
g
a
n
d
Mo
b
i
l
e
C
o
m
p
u
t
i
n
g
(
Wi
C
O
M
)
,
2
0
1
0
,
p
p
.
1
-
4
,
d
o
i
:
1
0
.
1
1
0
9
/
W
I
C
O
M
.
2
0
1
0
.
5
6
0
0
9
8
8
.
[
3
0
]
I
EEE
8
0
2
C
o
mm
i
t
t
e
e
,
“
P
a
r
t
1
1
:
W
i
r
e
l
e
ss
LA
N
M
A
C
a
n
d
P
H
Y
s
p
e
c
i
f
i
c
a
t
i
o
n
s a
me
n
d
me
n
t
1
0
:
M
e
s
h
n
e
t
w
o
r
k
i
n
g
,
”
I
EE
E
P
8
0
2
.
1
1
s
D
3
.
0
,
20
09
.
[
3
1
]
"
I
EEE
S
t
a
n
d
a
r
d
f
o
r
A
i
r
I
n
t
e
r
f
a
c
e
f
o
r
B
r
o
a
d
b
a
n
d
W
i
r
e
l
e
ss
A
c
c
e
ss
S
y
st
e
ms,"
i
n
I
E
EE
S
t
d
8
0
2
.
1
6
-
2
0
1
7
(
Re
v
i
si
o
n
o
f
I
EEE
S
t
d
8
0
2
.
1
6
-
2
0
1
2
)
,
p
p
.
1
-
2
7
2
6
,
2
M
a
r
c
h
2
0
1
8
,
d
o
i
:
1
0
.
1
1
0
9
/
I
EEESTD
.
2
0
1
8
.
8
3
0
3
8
7
0
.
[
3
2
]
S
.
J.
Jo
h
n
s
o
n
a
n
d
S
.
R
.
W
e
l
l
e
r
,
"
C
o
n
st
r
u
c
t
i
o
n
s
f
o
r
i
r
r
e
g
u
l
a
r
r
e
p
e
a
t
-
a
c
c
u
mu
l
a
t
e
c
o
d
e
s,"
P
ro
c
e
e
d
i
n
g
s.
I
n
t
e
rn
a
t
i
o
n
a
l
S
y
m
p
o
si
u
m
o
n
I
n
f
o
rm
a
t
i
o
n
T
h
e
o
r
y
,
2
0
0
5
.
I
S
I
T
2
0
0
5
.
,
2
0
0
5
,
p
p
.
1
7
9
-
1
8
3
,
d
o
i
:
1
0
.
1
1
0
9
/
I
S
I
T
.
2
0
0
5
.
1
5
2
3
3
1
8
.
[
3
3
]
R
.
Ta
t
su
k
a
w
a
,
A
.
M
a
n
a
d
a
,
a
n
d
H
.
M
o
r
i
t
a
,
“
I
r
r
e
g
u
l
a
r
r
e
p
e
a
t
a
c
c
u
m
u
l
a
t
e
c
o
d
e
s
b
a
se
d
o
n
ma
x
-
f
l
o
w
a
l
g
o
r
i
t
h
m
f
o
r
e
n
e
r
g
y
-
sa
v
i
n
g
n
e
t
w
o
r
k
s,”
i
n
Pr
o
c
.
9
t
h
I
n
t
.
C
o
n
f
.
B
o
d
y
Are
a
N
e
t
w
.
,
2
0
1
4
,
p
p
.
3
2
6
-
3
3
0
,
d
o
i
:
1
0
.
4
1
0
8
/
i
c
st
.
b
o
d
y
n
e
t
s.
2
0
1
4
.
2
5
6
9
2
0
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
A
w
eig
h
ted
g
r
o
u
p
s
h
u
ffled
d
ec
o
d
in
g
f
o
r
lo
w
-
d
en
s
ity
p
a
r
ity
-
ch
ec
k
co
d
es
(
F
a
tima
Za
h
r
a
e
Z
e
n
ko
u
a
r
)
381
B
I
O
G
RAP
H
I
E
S O
F
AUTH
O
RS
Fa
tim
a
Z
a
h
r
a
e
Ze
n
k
o
u
a
r
re
c
e
iv
e
d
a
sta
te
e
n
g
i
n
e
e
rin
g
d
e
g
re
e
in
e
m
b
e
d
d
e
d
sy
ste
m
s
a
n
d
i
n
d
u
strial
d
a
ta
fr
o
m
th
e
Na
ti
o
n
a
l
S
c
h
o
o
l
o
f
Ap
p
li
e
d
S
c
ien
c
e
s,
Un
iv
e
rsit
y
o
f
S
i
d
i
M
o
h
a
m
m
e
d
Be
n
Ab
d
e
ll
a
h
,
F
e
z
,
M
o
ro
c
c
o
in
2
0
1
5
.
He
is
c
u
rre
n
tl
y
p
u
rs
u
in
g
h
is
P
h
.
D.
d
e
g
re
e
i
n
Co
m
p
u
ter S
c
ien
c
e
with
th
e
La
b
o
r
a
to
ry
o
f
I
n
telli
g
e
n
t
S
y
ste
m
s
a
n
d
Ap
p
li
c
a
ti
o
n
a
t
th
e
F
a
c
u
l
ty
o
f
S
c
ien
c
e
a
n
d
Tec
h
n
o
l
o
g
y
o
f
F
e
z
.
His
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
si
g
n
a
l/
d
a
ta
p
ro
c
e
ss
in
g
,
C
o
d
e
th
e
o
ry
,
p
a
ra
ll
e
l
c
o
m
p
u
ti
n
g
,
a
n
d
LDP
C
a
lg
o
rit
h
m
s.
S
h
e
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
fz
e
n
k
o
u
a
r@
g
m
a
il
.
c
o
m
.
Mu
sta
p
h
a
El
Ala
o
u
i
is
b
o
rn
i
n
t
h
e
Old
M
e
d
i
n
a
,
F
e
s,
M
o
r
o
c
c
o
,
1
9
9
4
.
He
re
c
iev
e
d
h
is
M
a
ste
r
d
e
g
re
e
si
n
c
e
2
0
1
7
in
M
icro
-
El
e
c
tro
n
ics
in
F
a
c
u
l
ty
o
f
S
c
ien
c
e
s
Dh
a
r
EL
M
a
h
ra
z
(F
S
DM),
S
i
d
i
M
o
h
a
m
m
e
d
Be
n
Ab
d
e
ll
a
h
Un
i
v
e
rsity
(USM
BA),
F
e
z
,
M
o
r
o
c
c
o
.
He
re
c
e
iv
e
d
a
P
h
.
D
d
e
g
re
e
i
n
E
lec
tri
c
a
l
En
g
in
e
e
rin
g
in
2
0
2
1
fr
o
m
Lab
o
ra
to
r
y
o
f
Co
m
p
u
ter
S
c
ien
c
e
,
S
i
g
n
a
ls,
Au
to
m
a
ti
o
n
a
n
d
C
o
g
n
it
i
v
ism
(
LIS
AC),
De
p
a
rtme
n
t
o
f
P
h
y
si
c
s,
F
S
DM,
USM
BA,
F
e
z
,
M
o
ro
c
c
o
.
His res
e
a
rc
h
in
tere
sts in
c
lu
d
e
Li
-
I
o
n
b
a
tt
e
r
y
c
h
a
rg
e
r
in
te
rfa
c
e
(BCI)
a
n
d
BM
S
,
RF
ID
p
a
ss
if
a
n
d
a
c
ti
f
tag
s,
CM
OS
m
ix
e
d
m
o
d
e
in
teg
ra
ted
c
ircu
it
d
e
sig
n
,
In
te
g
ra
ted
C
las
s
-
D
p
o
we
r
o
u
t
p
u
t
s
t
a
g
e
a
n
d
r
e
n
e
w
a
b
l
e
e
n
e
r
g
y
.
H
e
c
a
n
b
e
c
o
n
t
a
c
t
e
d
a
t
e
m
a
i
l
:
M
u
s
t
a
p
h
a
.
e
l
a
l
a
o
u
i
@
u
s
m
b
a
.
a
c
.
m
a
.
S
a
id
Na
j
a
h
re
c
e
iv
e
d
a
P
h
.
D
d
e
g
re
e
in
Co
m
p
u
ter
S
c
ien
c
e
fr
o
m
t
h
e
F
a
c
u
lt
y
o
f
S
c
ien
c
e
,
Un
iv
e
rsity
S
id
i
M
o
h
a
m
e
d
Be
n
Ab
d
e
ll
a
h
,
F
e
z
,
M
o
ro
c
c
o
in
2
0
0
6
.
He
is
c
u
rre
n
t
ly
a
p
ro
fe
ss
o
r
o
f
th
e
De
p
a
rtme
n
t
o
f
Co
m
p
u
ter
S
c
ien
c
e
,
F
a
c
u
l
ty
o
f
S
c
ien
c
e
a
n
d
Tec
h
n
o
l
o
g
y
F
e
z
M
o
ro
c
c
o
.
He
is
a
m
e
m
b
e
r
in
t
h
e
Lab
o
ra
to
r
y
o
f
In
telli
g
e
n
t
S
y
ste
m
s
a
n
d
Ap
p
li
c
a
ti
o
n
(LS
I
A
Lab
o
ra
to
r
y
).
His
c
u
rre
n
t
re
se
a
rc
h
i
n
tere
sts
in
c
l
u
d
e
p
a
ra
ll
e
l
c
o
m
p
u
ti
n
g
,
c
o
d
e
t
h
e
o
r
y
,
si
g
n
a
l
p
ro
c
e
ss
in
g
a
n
d
a
rti
f
icia
l
in
tell
ig
e
n
c
e
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
Ema
i
l
:
sa
id
.
n
a
jah
@
u
sm
b
a
.
a
c
.
m
a
.
Evaluation Warning : The document was created with Spire.PDF for Python.