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p
le)
3.
K
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CL
US
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clu
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m
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o
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ter
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Data
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=
1
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lu
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ter
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;
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P
er
f
o
r
m
t
h
e
f
o
llo
w
i
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g
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k
s
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ile
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n
tr
o
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ch
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g
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g
:
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d
d
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s
to
ea
ch
clu
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ter
b
y
tak
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g
t
h
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o
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t
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n
t
h
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ata
ite
m
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d
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n
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o
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.
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th
e
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ter
to
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b
elo
n
g
s
b
y
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t
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g
th
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r
est
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u
s
ter
d
ep
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d
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g
o
n
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e
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ce
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C
alcu
late
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e
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n
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o
id
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y
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er
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i
n
g
th
e
d
ata
ite
m
s
b
elo
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g
to
th
e
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s
ter
.
T
ab
le
2
an
d
T
ab
le
3
s
h
o
w
s
th
e
r
esu
lts
o
f
ca
lcu
la
tio
n
s
:
T
ab
le
2
.
C
alcu
latio
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r
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lts
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f
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(
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I
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2
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1318
1314
T
ab
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3
.
C
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latio
n
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u
lts
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f
p
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an
d
4
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T
H
E
P
RO
P
O
SE
D
M
E
T
H
O
D
T
h
e
p
r
o
p
o
s
ed
m
eth
o
d
o
f
w
av
e
f
ile
f
e
at
u
r
es
e
x
tr
ac
tio
n
i
s
b
ased
o
n
k
-
m
ea
n
clu
s
ter
i
n
g
a
n
d
it
ca
n
b
e
i
m
p
le
m
en
ted
ap
p
l
y
i
n
g
th
e
f
o
ll
o
w
i
n
g
s
tep
s
:
Get
th
e
w
a
v
e
f
i
le.
C
alcu
late
th
e
w
a
v
e
f
ile
h
is
to
g
r
a
m
to
b
e
u
s
ed
as a
n
i
n
p
u
t d
ata
s
et
f
o
r
clu
s
ter
in
g
.
I
n
itializatio
n
b
y
s
elec
tin
g
t
h
e
n
u
m
b
er
o
f
clu
s
ter
s
a
n
d
a
ce
n
tr
o
id
f
o
r
ea
ch
clu
s
ter
.
A
p
p
l
y
k
-
m
ea
n
cl
u
s
ter
i
n
g
.
Sav
e
t
h
e
clu
s
ter
s
as a
f
ea
t
u
r
e
f
o
r
th
e
w
a
v
e
f
i
le.
4
.
1
.
I
m
ple
m
ent
a
t
io
n a
nd
ex
peri
m
e
nta
l r
esu
lt
s
A
n
ec
ess
ar
y
M
A
T
L
A
B
co
d
es
w
er
e
w
r
itte
n
to
cr
ea
te
a
f
ea
tu
r
es
f
o
r
a
w
av
f
ile
s
u
s
in
g
s
tatis
t
ical
m
et
h
o
d
an
d
k
-
m
ea
n
m
eth
o
d
,
b
el
o
w
w
e
w
ill d
i
s
cu
s
s
t
h
e
o
b
tain
ed
ex
p
er
i
m
e
n
tal
r
es
u
lt
s
.
4
.
1
.
1
.
Sta
t
is
t
ica
l m
et
ho
d
a.
E
x
p
er
i
m
e
n
t 1
W
e
to
o
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a
s
in
u
s
o
id
al
s
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g
n
a
l
an
d
f
o
r
d
ef
er
en
t
p
ar
a
m
e
ter
v
alu
es
(
a
m
p
lit
u
d
e,
f
r
eq
u
en
c
y
an
d
p
h
ase
s
h
i
f
ti
n
g
)
w
e
ca
lcu
late
s
o
m
e
s
t
atis
tical
p
ar
a
m
e
ter
s
,
T
ab
le
4
s
h
o
w
s
t
h
e
r
es
u
lts
o
f
t
h
is
e
x
p
er
i
m
en
t.
Fro
m
T
ab
le
4
w
e
ca
n
s
ee
:
C
h
a
n
g
in
g
t
h
e
s
i
g
n
a
l p
ar
a
m
eter
s
lead
s
to
ch
an
g
i
n
g
t
h
e
f
ea
t
u
r
es set.
C
h
a
n
g
in
g
t
h
e
f
ea
t
u
r
es
s
et
m
e
an
s
t
h
at
th
e
m
o
d
if
ied
s
i
g
n
al
w
il
l
b
e
co
n
s
id
er
ed
as
a
n
e
w
s
ig
n
al
t
h
u
s
w
ill
in
cr
ea
s
e
t
h
e
m
e
m
o
r
y
s
p
ac
e
r
e
q
u
ir
ed
to
s
to
r
e
th
e
s
i
g
n
al
s
,
an
d
in
cr
ea
s
e
t
h
e
r
eq
u
ir
ed
ti
m
e
f
o
r
s
i
g
n
al
id
en
ti
f
icatio
n
.
T
ab
le
4
.
E
x
p
er
im
e
n
t 1
r
esu
lt
s
S
i
g
n
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l
F
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t
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t
(
x
=
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0
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0
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1
:
4
p
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)
D
y
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a
mi
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d
b
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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RE
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NC
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S
[1
]
Brij
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sh
N.
S
.
a
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Ja
y
m
in
K.
B.
,
"
Co
m
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En
g
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(
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),
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2
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p
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1
8
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.
[2
]
Ba
rk
e
r
J.,
e
t
a
l.
,
"
T
h
e
th
ird
‘CHiM
E’
sp
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:
Da
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s,"
IEE
E
W
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.
[3
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S
.
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Da
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pp
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2
7
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.
[4
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Bin
,
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t
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"
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IEE
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T
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[5
]
B.
W
u
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t
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,
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[6
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A.
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,
P
.
Ja
in
,
a
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V.
V
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[7
]
F
.
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Clas
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