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k
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[
5]
,
[6
].
2.
P
RO
P
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D
RE
S
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ARCH
M
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T
H
O
D
O
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t
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t
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p
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c
it
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,
[
7
]
.
T
he
S
S
m
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d
ha
vi
n
g s
i
m
p
l
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p
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t
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MI
MO
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[
8
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,
[
9
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l
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≤
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so
pos
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[
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.
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B
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN
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20
88
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8708
In
t
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20
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8
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2743
2740
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f
d
a
ta
tr
a
n
s
m
itte
d
.
3.
R
ES
U
LT
S
A
ND AN
AL
Y
S
I
S
A
s
can
b
e i
n
f
er
r
ed
f
r
o
m
t
h
e
F
i
gur
e
1
w
i
t
h t
he
r
e
c
e
i
ve
r
d
i
ve
r
s
i
t
y
r
a
n
gi
ng
f
r
o
m
1
t
o
5
a
na
l
ys
i
s
o
f
b
i
t
e
rro
r
ra
t
e
f
o
r t
h
e
s
y
s
t
e
m
g
i
v
e
s
a
n
in
te
r
e
s
ti
n
g
r
e
la
tio
n
s
h
ip
w
it
h
th
e
s
i
g
n
a
l to
n
o
is
e
r
a
tio
(
S
N
R
)
r
e
q
u
ir
e
m
e
n
t f
o
r
a d
es
i
r
ed
v
al
u
e o
f
B
E
R
.
I
t
i
s
o
b
s
er
v
ed
t
h
at
w
i
t
h
g
r
ad
u
al
i
n
cr
eas
e i
n
t
h
e
n
u
m
b
er
o
f
r
ecei
v
er
s
al
t
h
o
u
g
h
t
h
er
e i
s
a
n
i
n
c
r
e
a
s
e
i
n t
h
e
S
N
R
r
e
qui
r
e
m
e
nt
f
or
w
h
i
c
h a
n opt
i
m
um
n
u
m
b
er
o
f
r
ecei
v
er
s
ca
n
b
e eas
i
l
y
o
b
t
ai
n
ed
t
h
r
oug
h
t
h
e
obs
e
r
v
a
t
i
ons
of
t
he
c
u
r
v
e
s
.
T
h
i
s
a
n
a
l
y
s
i
s
w
a
s
f
ur
t
h
e
r
c
on
t
i
nu
e
d s
o a
s
t
o f
i
n
d a
n
a
m
i
c
a
bl
e
s
ol
u
t
i
o
n
f
o
r
t
h
e S
N
R
r
eq
u
i
r
e
m
e
n
t
s
f
o
r
a d
es
i
r
ab
l
e an
d
accep
t
ab
l
e er
r
o
r
p
r
o
b
a
b
i
l
i
t
y
f
o
r
h
i
g
h
d
at
a
r
at
es
o
r
f
o
r
hi
g
he
r
v
al
u
e
s
o
f
N
.
I
t
can
b
e d
ed
u
ce
d
f
r
o
m
t
h
e cu
r
v
es
o
f
B
E
R
V
s
S
N
R
f
o
r
v
ar
i
o
u
s
v
al
u
e
s
o
f
N
.
T
h
e v
al
u
es
o
f
S
N
R
r
e
qu
i
r
e
m
e
nt
f
or
de
s
i
r
a
bl
e
B
E
R
f
or
v
a
l
u
e
s
of
N
=
104,
105 &
106 a
n
a
l
y
z
e
d a
n
d obs
e
r
v
e
d t
o
be
f
ol
l
o
w
i
ng
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t
r
e
n
d
w
h
i
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h
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ear
l
y
i
n
d
i
cat
e
s
t
h
at
i
r
r
es
p
ect
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v
e
of
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h
e
n
um
be
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of
s
y
m
bol
s
be
i
ng
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r
a
ns
m
i
t
t
e
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.
e
.
t
h
e
a
m
o
un
t
of
t
he
d
a
ta
tr
a
n
s
m
itte
d
,
th
e
S
N
R
r
e
q
u
ir
e
m
e
n
t o
f
th
e
O
F
D
M
s
y
s
te
m
w
it
h
b
lin
d
c
h
a
n
n
e
l e
s
ti
m
a
ti
o
n
te
c
h
n
iq
u
e
f
o
r
a
d
es
i
r
ed
v
al
u
e o
f
B
E
R
i
.
e.
b
i
t
e
r
r
o
r
r
at
e
d
o
es
n
o
t
s
h
o
w
an
y
m
aj
o
r
s
h
i
f
t
i
n
t
h
e
v
al
u
e
s
i
n
te
r
m
s
o
f
S
i
g
n
a
l to
n
o
is
e
r
at
i
o
,
h
en
ce f
o
r
t
h
e
m
o
d
er
n
c
o
m
m
u
n
i
cat
i
o
n
s
y
s
t
e
m
s
w
h
i
ch
g
en
er
al
l
y
w
o
r
k
at
h
i
g
h
d
at
a r
at
es
w
h
et
h
er
i
t
m
a
y
b
e 3
G
o
r
4
G
/
L
T
E
t
h
i
s
co
n
cl
u
s
i
o
n
ca
n
s
er
v
e a
s
a
m
i
l
e
s
t
o
n
e
f
o
r
d
eci
d
i
n
g
t
h
e r
ecei
v
er
s
s
p
eci
f
i
ca
t
i
o
n
s
a
n
d
p
ar
am
et
er
s
.
S
o
m
e o
f
t
h
e
i
n
te
r
p
r
e
ta
tio
n
s
f
r
o
m
F
ig
ur
e
1
-
Fi
g
ur
e
4
can
b
e s
u
m
m
ar
i
zed
as
u
n
d
er
:
a.
W
i
t
h
i
n
cr
eas
i
n
g
v
al
u
es
o
f
S
N
R
f
o
r
d
i
f
f
er
e
n
t
d
at
a r
at
es
o
r
‘
N
’
,
B
E
R
t
h
e
v
al
u
e
s
m
o
r
e cl
o
s
el
y
f
al
l
i
n
l
i
n
e
w
i
t
h
t
h
e
t
h
eo
r
et
i
cal
r
e
s
u
l
t
s
i
.
e.
t
h
e d
i
f
f
er
en
ce b
et
w
ee
n
t
h
e t
h
eo
r
et
i
cal
an
d
s
i
m
u
l
at
ed
v
al
u
e
s
d
ecr
eas
es
F
o
r
l
o
w
er
v
al
u
es
o
f
d
es
i
r
ed
b
i
t
er
r
o
r
r
at
es
t
h
e S
N
R
r
eq
u
i
r
e
m
en
t
s
i
n
cr
ea
s
e i
r
r
es
p
ect
i
v
e
o
f
t
h
e d
i
v
er
s
i
t
y
s
c
e
na
r
i
o
o
r
t
he
n
u
m
b
e
r
o
f
r
e
c
e
i
vi
ng a
nt
e
nna
s
.
b.
F
o
r
ach
i
ev
i
n
g
a d
es
i
r
ed
b
i
t
er
r
o
r
r
at
es
t
h
e s
y
s
t
e
m
w
i
t
h
l
es
s
n
u
m
b
er
o
f
r
ecei
v
er
s
s
h
o
w
s
b
et
t
er
p
er
f
o
r
m
a
n
ce
w
i
t
h
r
ed
u
ced
S
N
R
p
o
w
er
r
eq
u
i
r
e
m
en
t
.
c.
I
t
can
b
e
o
b
s
er
v
ed
f
r
o
m
F
i
g
u
r
e
1
,
Fi
g
ur
e
2
,
Fi
g
ur
e
3
&
F
i
g
ur
e
4
th
a
t
f
o
r
d
if
f
e
r
e
n
t
v
a
lu
e
s
o
f
N
i.
e
.
a
t
102,
1
03,
105
&
106
t
h
e
S
N
R
r
e
qu
i
r
e
m
e
n
t
f
or
a
de
s
i
r
e
d v
a
l
u
e
of
B
E
R
i
.
e
.
bi
t
e
r
r
or
r
a
t
e
i
n
a
r
ecei
v
er
d
i
v
er
s
i
f
i
ed
s
ce
n
ar
i
o
d
o
es
n
o
t
c
h
an
g
e co
n
s
i
d
er
ab
l
y
h
en
ce
t
h
i
s
o
b
s
er
v
at
i
o
n
i
n
d
i
cat
es
t
h
at
q
u
a
l
i
t
y
o
f
a s
i
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al
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e
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o
n
i
t
o
r
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b
y
k
eep
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n
g
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eck
o
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i
g
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al
S
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l
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n
a r
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m
w
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n
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e
f
u
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er
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t
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l
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f
o
r
i
m
p
r
o
v
ed
d
at
a r
at
es
f
o
r
O
F
D
M
s
y
s
t
e
m
s
.
F
i
g
ur
e
1
.
B
E
R
f
or
B
P
S
K
f
or
N
=
103
A
s
can
b
e i
n
f
er
r
ed
f
r
o
m
t
h
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cu
r
v
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s
o
f
F
i
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r
e
1,
F
i
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r
e
2,
F
i
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3
a
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F
i
g
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4
t
ha
t
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h o
nl
y a
s
l
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g
h
t
c
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a
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e i
n
t
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e S
i
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N
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o
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t
h
e r
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v
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u
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h
a
d
e
s
ir
e
d
r
a
n
g
e
o
f
B
it
E
rro
r
.
Evaluation Warning : The document was created with Spire.PDF for Python.
In
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2741
F
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN
:
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In
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Ra
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o
f
F
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,
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,
a
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d
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j
u
s
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a
bov
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ef
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o
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4.
CO
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.
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e
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e S
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A
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nd Z
.
D
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l
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da
pt
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SP
I
E
O
p
tic
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l
E
n
gi
ne
e
r
i
ng.
J
une
19
92.
[
2]
.
L
.
T
ong
,
G
.
X
u a
nd T
.
K
a
i
l
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t
h
.
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ne
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a
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h t
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a
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l
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y
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t
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m
s
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nd c
om
put
e
r
s
,
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ov
e
m
be
r
199
1.
[
3]
.
J
.
A
.
C
a
dz
ow
,
“
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l
i
nd de
c
onv
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on v
i
a
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um
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e
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a
:
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l
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s
s
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ng
M
a
g
a
z
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ne
,
v
ol
.
13
,
n
o.
3,
pp.
244
2.
[
4]
.
M
a
y
1996.
[
5]
.
L
.
T
ong
,
G
.
X
u,
a
nd T
.
K
a
i
l
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t
h.
“
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l
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nt
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f
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ta
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m
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h
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’
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E
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T
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a
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nf
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ol
.
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,
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2,
pp
.
3
40
-
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9,
M
a
r
.
199
4.
[
6]
.
G
. X
u
, H
. L
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u
,
L
. T
o
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g
,
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d
T
.
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ai
l
at
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,
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l
eas
t
-
s
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l
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r
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l
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.
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vo
l
.
43
,
n
o.
12
,
pp
.
29
82
–
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99
3,
D
e
c
.
19
95
.
[
7]
.
G
.
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.
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ia
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n
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s
. S
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., v
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p
.
6
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9.
[
8]
.
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.
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.
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os
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ni
,
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d M
.
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.
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a
ns
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.
6,
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.
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-
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,
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98
.
[
9]
.
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.
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r
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.
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l
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ility
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ns
.
[
9
]
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p.
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1
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.
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.
32,
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99
-
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pr
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97
.
[
1
1]
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C
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hi
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r
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.
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ow
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,
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l
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m
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hnol
.
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v
ol
.
56,
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o.
2,
pp.
670
–
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5
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r
.
20
07
.
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1
2]
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2.
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p.
14
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-
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29,
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a
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,
200
4
.
[
1
4]
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uha
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l
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.
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.
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r
dos
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.
M
a
y
r
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r
g
ue
,
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ubs
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c
e
m
e
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hods
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or
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nt
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t
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t
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c
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nne
l
F
I
R
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l
t
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r
s
,
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E
E
E
T
r
a
ns
.
S
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g
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l
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r
oc
e
s
s
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ng
,
v
ol
.
43,
p
p.
5
16
-
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25,
F
e
b.
19
95
.
[
1
5]
.
Y
.
L
i
a
nd Z
.
D
i
ng
,
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B
l
i
n
d c
ha
nn
e
l
i
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nt
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f
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c
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s
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on
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s
ta
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tic
s
,
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in
P
r
o
c
.
I
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EE
I
nt
.
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onf
.
A
c
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t
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pe
e
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h,
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pr
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99
3,
v
ol
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4
,
p
p.
8
1
–
84
.
[
1
6]
.
F
.
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ao
,
Y
.
Z
en
g
,
A
.
N
al
l
an
at
h
an
,
an
d
T
.
-
S
.
N
g
,
“
R
obus
t
s
ubs
p
a
c
e
bl
i
nd c
ha
n
ne
l
e
s
t
i
m
a
t
i
on f
or
c
y
c
l
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c
pr
e
f
i
x
e
d
M
I
M
O OF
DM
sy
st
e
m
s:
A
l
g
o
r
ith
m
,
id
e
n
tif
ia
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ility
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n
d
p
e
r
f
o
r
m
a
n
c
e
a
n
a
ly
s
is
,
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EEE J
.
S
e
l.
A
r
e
a
s
C
o
m
m
u
n
.
,
v
o
l.
26,
no
.
2
,
p
p.
37
8
–
38
8,
F
e
b.
20
08
[
1
7]
.
L
.
T
ong
,
G
.
X
u,
a
nd T
.
K
a
i
l
a
t
h,
“
B
l
i
nd i
de
nt
i
f
i
c
a
t
i
on a
nd e
qua
l
i
z
a
t
i
on ba
s
e
d on s
e
c
on
d
-
o
r
d
e
r
s
ta
tis
tic
s
: A
ti
m
e
dom
a
i
n a
ppr
oa
c
h
,
”
I
E
E
E
T
r
a
ns
.
I
nf
.
T
he
or
y
,
v
ol
.
4
0,
no.
2,
p
p.
34
0
–
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9,
M
a
r
.
19
94.
[
1
8]
.
L
.
T
ong
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nd S
.
P
e
r
r
e
a
u,
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M
ul
t
i
c
h
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nne
l
b
l
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n
d i
de
nt
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f
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c
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t
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on:
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r
om
s
ubs
pa
c
e
t
o
m
a
x
i
m
u
m
l
i
k
e
l
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hood
m
e
t
hods
,
”
P
r
oc
.
I
E
E
E
,
v
ol
.
8
6,
no.
1
0,
pp.
1
95
1
–
1
968
,
O
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t
.
19
98.
[
1
9]
.
L
.
T
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n
g
, G
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. H
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s
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, a
n
d
T
.
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ai
l
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h
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l
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nc
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.
41,
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3
29
–
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2
0]
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