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G
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ad
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[
1
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.
T
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2
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.
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4
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A
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ig
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d
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ar
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it
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u
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in
g
b
lo
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t
-
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.
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h
ese
b
lo
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s
s
w
itc
h
to
a
d
if
f
e
r
en
t
s
et
o
f
p
er
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m
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d
if
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er
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t
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ilter
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t
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o
f
f
f
r
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en
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y
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ilter
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o
r
a
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if
f
er
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t
g
ai
n
an
d
b
an
d
w
id
t
h
f
o
r
a
lo
w
-
n
o
i
s
e
a
m
p
lif
ier
,
o
r
a
d
if
f
er
en
t
g
ai
n
f
o
r
a
v
ar
iab
le
g
ai
n
a
m
p
li
f
ier
,
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d
if
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y
n
a
m
ic
r
an
g
e
an
d
b
an
d
w
id
th
f
o
r
a
n
A
D
C
,
et
c
[
8
]
.
I
m
p
o
r
tan
t
te
n
o
r
s
i
n
t
h
e
r
ec
eiv
er
d
esi
g
n
f
o
r
w
ir
ele
s
s
p
o
r
tab
le
ap
p
licatio
n
s
ar
e:
s
m
aller
p
r
o
d
u
ct
s
izes,
m
o
d
er
ate
p
r
o
d
u
cts an
d
lo
n
g
er
s
ta
n
d
-
b
y
t
i
m
e
s
.
P
r
o
d
u
cts
ca
n
b
e
m
ad
e
s
m
al
ler
an
d
ch
ea
p
er
b
y
i
n
cr
ea
s
i
n
g
th
e
lev
el
o
f
i
n
te
g
r
atio
n
.
W
ir
eless
co
m
m
u
n
icatio
n
h
a
s
r
ev
o
l
u
tio
n
ized
ev
er
y
o
n
e
’
s
liv
e
s
b
y
e
n
ab
lin
g
a
h
i
g
h
s
p
ee
d
co
n
n
ec
ti
o
n
d
ir
ec
tl
y
to
t
h
e
p
eo
p
le/in
f
o
r
m
atio
n
c
u
s
to
m
er
s
n
ee
d
s
[
1
2
]
.
W
ir
eless
tec
h
n
o
lo
g
ies
s
u
ch
as
3
G
(
th
ir
d
g
en
er
ati
o
n
)
an
d
o
t
h
er
s
u
c
h
tech
n
o
lo
g
ies
co
ex
i
s
t
an
d
w
o
r
k
s
y
n
er
g
i
s
ticall
y
to
m
ee
t
cu
s
to
m
er
n
ee
d
s
.
T
h
is
r
eq
u
ir
es
d
if
f
er
en
t
w
ir
eles
s
s
y
s
te
m
s
th
at
f
u
r
t
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ee
d
s
m
u
lt
i
m
o
d
e
,
m
u
ltib
a
n
d
,
an
d
m
u
lti
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s
ta
n
d
ar
d
m
o
b
ile
ter
m
i
n
als.
S
h
ar
i
n
g
an
d
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r
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w
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h
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g
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u
ild
in
g
b
lo
ck
s
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m
p
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r
tan
t
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eq
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ir
e
m
e
n
t
to
ex
ten
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th
e
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atter
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li
f
e
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d
/o
r
to
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ce
co
s
t
[
9
,
10]
.
Flex
ib
ilit
y
a
n
d
ad
ap
tab
ilit
y
ar
e
t
h
e
k
e
y
f
ea
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e,
m
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ltib
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,
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m
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-
s
ta
n
d
ar
d
w
i
r
ele
s
s
r
a
d
io
[
1
1
]
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
2
.
1
Sy
s
t
em
L
ev
el
M
o
deli
ng
a
nd
Ana
ly
s
is
o
f
CT
DSM
Arc
hite
ct
ure
a
s
(
DUT)
f
o
r
4
G
Ra
dio
Appl
ica
t
io
n
Ver
s
atile
s
i
g
m
a
d
elta
A
D
C
co
n
f
i
g
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r
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s
h
o
w
n
i
n
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g
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r
e
2
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w
h
ic
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co
n
s
is
t
o
f
f
o
r
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ar
d
p
ath
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t
b
1
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b
3
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d
in
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t
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a
4
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h
t
w
o
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ig
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tal
to
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alo
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co
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ter
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DAC)
DAC1
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d
D
AC
2
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2
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it
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tizer
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tr
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d
1
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ch
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in
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m
it
s
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t
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o
n
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r
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le
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d
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m
m
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le
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ich
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v
er
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p
e
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f
ec
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in
f
o
r
m
atio
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c
h
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n
g
e
l
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m
it
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n
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u
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er
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r
a
s
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s
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h
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u
ct
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r
es,
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e
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u
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e
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tr
at
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o
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o
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ti
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e
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g
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T
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D
C
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ar
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u
s
ed
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iece
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te
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r
r
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o
n
d
en
ce
s
,
w
h
er
e
a
h
ig
h
in
f
o
r
m
atio
n
tr
an
s
m
i
s
s
io
n
at
lo
w
p
o
w
er
u
s
es
is
r
eq
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ir
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.
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ite
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e
f
ac
t
t
h
a
t
C
T
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Δ
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DC
o
f
f
er
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th
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r
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g
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it
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ata
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i
t
h
a
r
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u
s
lo
w
p
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er
u
s
a
g
e.
T
ab
le
1
g
iv
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t
h
e
d
etail
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o
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t
d
if
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t
m
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d
es
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ig
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a
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elta
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D
C
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n
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h
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tab
le
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r
w
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ele
s
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lo
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et
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r
k
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L
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n
th
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m
o
d
e
f
ee
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b
ac
k
p
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g
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d
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g
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d
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ar
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tr
ai
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h
t
lin
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an
d
s
i
m
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n
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al
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ile
T
el
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o
m
m
u
n
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Ser
v
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UM
T
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Dig
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r
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g
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m
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T
A
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L
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s
h
o
w
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i
g
m
a
m
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d
u
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m
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OS
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B
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B
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m
o
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w
it
h
C
MO
S
tech
n
o
lo
g
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s
d
is
cu
s
s
ed
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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----------
-----
-----
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T
ab
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Delta
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r
d
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er
en
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al
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es
o
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e
p
ar
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e
te
r
s
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if
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en
t
v
al
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e
s
o
f
b
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d
w
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th
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d
p
o
w
er
ar
e
o
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tain
ed
as L
c
,
Nc
an
d
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R
.
Fig
u
r
e
3
.
No
is
e
C
alcu
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n
f
o
r
C
T
Sig
m
a
Delta
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D
C
f
o
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R
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io
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.
3
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o
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er
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ns
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m
ptio
n o
f
CT
Sig
m
a
Delt
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ADC
us
e
d f
o
r
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G
Ra
dio
Fig
u
r
e
4
s
h
o
w
s
t
h
e
p
o
w
er
co
n
s
u
m
p
tio
n
o
f
C
T
si
g
m
a
d
elta
ADC
f
o
r
4
G
R
ad
io
.
Fo
r
th
e
ca
lcu
latio
n
o
f
p
o
w
er
co
n
s
u
m
p
tio
n
t
h
e
d
if
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er
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t
p
ar
a
m
eter
s
ar
e
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er
e
o
n
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h
ic
h
th
e
o
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er
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n
s
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m
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s
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h
e
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u
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la
y
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a
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ital
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it
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r
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o
n
o
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o
w
er
in
C
T
s
ig
m
a
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elta
A
D
C
.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
I
C
T
I
SS
N:
2252
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8776
A
n
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er E
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Fig
u
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4
.
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o
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s
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m
p
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C
T
Sig
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elta
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G
R
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4
-
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ADC
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o
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est
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te
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t
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o
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ed
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tr
o
d
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cin
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e
t
est
s
i
g
n
al
g
e
n
er
atio
n
(
T
SG)
an
d
C
OR
DI
C
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o
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ev
al
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ati
n
g
t
h
e
p
er
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o
r
m
a
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ce
o
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D
C
to
ad
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r
ess
th
e
c
h
alle
n
g
e
o
f
4
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an
d
u
p
co
m
i
n
g
5
G
w
ir
eless
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ad
io
.
S
y
s
te
m
lev
el
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la
n
o
f
a
d
elta
-
s
i
g
m
a
m
o
d
u
lato
r
A
D
C
f
o
r
4
G
r
ad
io
s
is
p
r
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ted
.
F
ig
u
r
e
5
s
h
o
w
s
b
lo
ck
d
ia
g
r
a
m
o
f
p
r
o
p
o
s
ed
-
m
o
d
u
lato
r
A
D
C
w
it
h
test
e
n
ab
le
ca
p
ab
ilit
y
.
Fig
u
r
e
5
.
B
lo
ck
Diag
r
a
m
o
f
Pr
o
p
o
s
ed
-
Mo
d
u
lato
r
A
D
C
w
it
h
Te
s
t E
n
ab
le
C
ap
ab
ilit
y
2
.
5
T
est
Sti
m
u
lus
g
ener
a
t
io
n a
nd
po
w
er
esti
m
a
t
io
n o
f
T
SG
A
s
i
m
u
li
n
k
m
o
d
el
o
f
T
SG is sh
o
w
n
i
n
Fig
u
r
e
6
w
h
ic
h
g
e
n
er
ates a
s
in
u
s
o
id
al
s
ig
n
al
w
h
ich
is
r
eq
u
ir
ed
in
s
u
b
s
eq
u
e
n
t
s
tag
e
s
o
f
A
D
C
as
a
test
s
i
g
n
al
i
n
A
DC
.
R
a
m
p
s
i
g
n
al
is
also
r
eq
u
ir
ed
to
test
I
NL
a
n
d
DN
L
p
er
f
o
r
m
a
n
ce
o
f
A
D
C
,
w
h
ic
h
c
an
b
e
tak
e
n
f
r
o
m
te
s
t
s
i
g
n
al
g
e
n
er
ated
b
y
T
SG
af
ter
co
n
v
er
ti
n
g
in
to
r
a
m
p
s
i
g
n
a
l.
Dig
ital
r
eso
l
u
tio
n
b
ased
lo
s
s
le
s
s
(
L
DI
)
d
is
cr
ete
in
te
g
r
ato
r
is
u
s
ed
as
T
SG
[
2
]
.
T
h
e
r
eso
n
ato
r
s
ar
e
o
b
tain
ed
b
y
ca
s
ca
d
in
g
to
in
te
g
r
ato
r
w
h
ich
,
ca
n
b
e
s
ee
n
in
Fig
u
r
e
6
.
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h
e
s
in
u
s
o
id
al
s
i
g
n
al
is
g
en
er
ated
w
h
ile
co
n
s
id
er
in
g
th
e
v
ar
iatio
n
i
n
th
e
co
e
f
f
icie
n
t
a1
2
an
d
a
2
1
an
d
th
e
v
alu
e
o
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x
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d
x
2
f
ix
ed
as
a
2
1
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-
6
;
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2
=
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.
6
6
7
×1
0
-
4
;x
1
(
0
)
=
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; x
2
(
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)
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.
0
3
2
7
1
5
9
an
d
f
o
s
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.
0
6
3
MH
z
.
P
o
w
er
co
n
s
u
m
p
tio
n
o
f
T
SG is
w
r
itte
n
as:
PT
SG =
2
P
I
NT_delay
+
2
P
Multiplier
+2
P
A
dder
(
1
)
W
h
er
e
P
I
NT_delay
=p
o
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f
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t
eg
er
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elay
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Multiplier
=
p
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f
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ltip
lier
u
n
it
an
d
P
A
dder
=p
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w
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o
f
ad
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er
u
n
it.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8776
IJ
-
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C
T
Vo
l.
7
,
No
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2
,
A
u
g
u
s
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:
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–
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86
Fig
u
r
e
6
.
S
y
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te
m
L
e
v
el
Mo
d
elin
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f
T
est Sti
m
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l
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s
Ge
n
er
ato
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2
.
6
M
o
delin
g
a
nd
Ana
ly
s
is
o
f
O
utput
Respo
ns
e
A
na
ly
ze
r
U
s
ing
CO
RDIC A
pp
ro
a
ch
Fig
u
r
e
7
s
h
o
w
s
b
lo
ck
d
iag
r
am
o
f
b
asic
C
OR
DI
C
tech
n
iq
u
e
OR
A
s
u
b
s
y
s
te
m
o
f
test
e
n
a
b
le
f
ea
tu
r
e
u
s
ed
to
ev
alu
ate
test
p
ar
a
m
ete
r
s
u
ch
as
I
n
teg
r
al
No
n
-
L
i
n
ea
r
i
t
y
(
I
NL
)
an
d
Dif
f
en
ta
il
No
n
-
L
in
ea
r
it
y
(
DN
L
)
etc.
T
h
er
e
ar
e
s
ev
er
al
tec
h
n
iq
u
es
f
o
r
i
m
p
le
m
e
n
ti
n
g
O
R
A
a
n
d
b
as
ed
o
n
co
m
p
le
x
it
y
a
n
d
b
it
r
eso
l
u
tio
n
C
O
R
DI
C
u
s
ed
in
t
h
e
p
r
esen
t
w
o
r
k
.
C
O
R
DI
C
tech
n
iq
u
e
p
r
o
v
id
es
iter
ati
v
e
f
o
r
m
u
latio
n
u
s
ed
to
ev
alu
a
t
e
s
o
m
e
ele
m
e
n
tar
y
f
u
n
ctio
n
,
f
o
r
ex
a
m
p
le
lo
g
ar
it
h
m
ic,
tr
i
g
o
n
o
m
etr
ic
an
d
d
i
v
is
io
n
.
R
e
f
er
en
ce
h
i
s
to
g
r
a
m
i
s
o
b
tain
ed
u
s
i
n
g
C
O
R
DI
C
tech
n
iq
u
e
w
h
ich
co
n
s
i
s
ts
o
f
m
aj
o
r
co
m
p
o
n
e
n
ts
as
a
MU
X,
E
m
b
ed
d
ed
C
O
R
DI
C
ca
lc
u
lato
r
an
d
r
esis
to
r
.
I
n
p
u
t
o
f
f
s
et
er
r
o
r
is
ca
lcu
lated
an
d
f
i
n
al
v
al
u
e
o
f
s
in
e
w
a
v
e
h
is
to
g
r
a
m
is
e
v
al
u
ate
d
[
1
1
]
.
Fig
u
r
e
7
.
B
lo
ck
Di
ag
r
a
m
o
f
B
asic CO
R
DI
C
T
ec
h
n
iq
u
e
An
o
th
er
co
m
p
o
n
en
t
o
f
C
O
R
D
I
C
to
ca
lcu
late
s
tatic
p
ar
a
m
ete
r
o
f
s
ig
m
a
d
elta
A
D
C
s
u
c
h
as
DNL
,
I
N
L
,
o
f
f
s
et
er
r
o
r
an
d
g
ain
er
r
o
r
.
T
h
e
d
y
n
a
m
ic
p
ar
a
m
eter
s
lik
e
Si
g
n
al
to
No
is
e
R
atio
(
SNR
)
ar
e
a
ls
o
ca
lcu
lated
u
s
i
n
g
th
is
cir
c
u
it.
T
h
e
v
alu
es
o
f
D
NL
,
I
NL
,
o
f
f
s
e
t
er
r
o
r
an
d
S
NR
af
f
ec
t
th
e
4
G
r
ad
io
p
er
f
o
r
m
a
n
ce
in
w
ir
ele
s
s
ap
p
licatio
n
s
s
o
th
at
cr
itica
l e
v
alu
atio
n
o
f
th
is
p
ar
a
m
eter
s
ar
e
r
eq
u
ir
ed
.
3.
RE
SU
L
T
S
A
ND
AN
AL
Y
SI
S
T
ab
le
3
s
h
o
w
s
ex
tr
ac
ted
n
o
is
e
p
ar
am
eter
s
o
f
C
T
A
DC
s
u
s
ed
f
o
r
4
G
r
a
d
io
w
h
ich
in
B
an
d
N
o
is
e
(
I
B
N)
is
d
ep
en
d
s
o
n
c
h
o
ice
o
f
b
it
s
s
ize
,
av
a
ilab
l
y
o
f
B
an
d
w
id
t
h
(
B
W
)
,
o
r
d
er
o
f
m
o
d
u
lato
r
(
L
c)
.
T
a
b
le
4
s
h
o
ws
ex
tr
ac
ted
p
o
w
er
o
f
C
T
s
ig
m
a
d
elta
A
D
C
w
h
ic
h
is
tec
h
n
o
l
o
g
y
d
ep
en
d
s
o
n
p
o
w
er
s
u
p
p
ly
(
Vd
d
)
an
d
o
t
h
er
p
ar
am
eter
al
s
o
f
o
r
4
G
r
ad
io
.
A
D
C
w
o
r
k
s
in
d
i
f
f
er
en
t
m
o
d
es
an
d
in
ea
c
h
m
o
d
e
p
o
w
er
o
p
t
i
m
izatio
n
is
n
ee
d
ed
.
T
h
e
GUI
b
ased
n
o
is
e
an
d
p
o
w
er
esti
m
atio
n
i
s
m
o
d
eled
to
m
ee
t
th
is
r
eq
u
ir
e
m
e
n
t
w
it
h
en
ab
lin
g
th
e
test
f
ea
tu
r
e
o
f
ADC
u
s
ed
in
w
ir
e
less
r
ec
ei
v
er
.
T
ab
u
lated
r
esu
lt
it
is
n
o
tice
th
at
m
in
i
m
u
m
p
o
w
er
d
is
s
i
p
atio
n
P
ct=
3
.
0
6
m
w
is
ac
h
ie
v
ed
w
h
e
n
L
c=
3
,
Nc=
4
,
OSR
=1
0
,
B
W
=2
5
MH
z.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
I
C
T
I
SS
N:
2252
-
8776
A
n
a
lysi
s
o
f Q
u
a
n
tiz
a
tio
n
N
o
is
e
a
n
d
P
o
w
er E
s
tima
tio
n
…
(
A
n
il K
u
ma
r
S
a
h
u
)
87
T
ab
le
3
.
E
x
tr
ac
ted
No
is
e
P
a
r
a
m
eter
s
f
o
r
4
G
R
ad
io
S
.
N
o
.
Lc
Nc
B
W
(
M
Hz)
B
(
b
i
t
)
IB
N
_
T
h
IB
N
_
N
R
Z
1.
4
3
.
2
18
1
2
.
5
0
.
1
1
3
0
.
2
4
2
2.
4
1
36
1
3
.
5
0
.
2
4
0
0
.
4
3
2
3.
3
4
25
12
0
.
3
6
5
0
.
4
8
0
4.
3
1
60
1
0
.
5
0
.
1
4
9
0
.
3
6
0
T
ab
le
4
.
E
x
tr
ac
ted
P
o
w
er
o
f
C
T
Sig
m
a
d
elta
A
DC
f
o
r
4
G
R
ad
io
S
.
N
o
.
Lc
Nc
OS
R
B
W
(
M
Hz)
V
d
d
(
V
o
l
t
)
Pc
t
(
A
u
t
h
o
r
’
s
w
o
r
k
)
(
m
w
)
Pc
t
(
In
t
h
i
s
p
a
p
e
r
)
(
m
w
)
1
4
3
.
2
1
7
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RE
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[1
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Ke
.
,
Y
,
Cra
n
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c
k
x
J.,
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iele
n
G
.
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sig
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ter
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A
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w
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C),
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rth
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T
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k
,
J.
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n
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H.,
L
o
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lo
u
M
.
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lex
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sig
m
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lt
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p
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s
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.
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6
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d
it
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a
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n
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tro
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sm
in
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p
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v
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ra
to
E.
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ll
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ter
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m
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h
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p
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ra
m
m
a
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p
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In
ter
n
a
t
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l
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t
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Cir
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s
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n
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(
IS
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CC),
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n
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o
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p
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F
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m
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lat
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r”
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sig
n
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Au
t
o
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a
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&
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ro
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0
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n
d
h
a
s
4
5
in
tern
a
ti
o
n
a
l
j
o
u
r
n
a
l
a
n
d
2
5
n
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
a
n
d
in
tern
a
ti
o
n
a
l
c
o
n
f
e
re
n
c
e
p
u
b
li
c
a
ti
o
n
s.
P
r
o
f
S
a
h
u
‘s
a
re
a
o
f
in
tere
st
isin
th
e
f
ield
o
f
M
ix
e
d
sig
n
a
l
d
e
sig
n
,
V
L
S
I
tes
ti
n
g
,
a
f
ro
n
t
e
n
d
V
L
S
I
De
sig
n
.
Dr
V
iv
e
k
Ku
m
a
r
Ch
a
n
d
ra
c
u
rre
n
t
ly
w
o
rk
in
g
a
s
HO
D
o
f
El
e
c
tri
c
a
l
a
n
d
E
lec
tro
n
ics
E
n
g
in
e
e
rin
g
i
n
Ch
h
a
trap
a
ti
S
h
iv
ji
In
sti
tu
te
o
f
tec
h
n
o
lo
g
y
Du
rg
,
a
n
d
h
a
v
in
g
to
tal
1
0
y
e
a
r
o
f
tea
c
h
in
g
e
x
p
e
rien
c
e
.
He
h
a
s
p
u
b
li
s
h
e
d
4
5
re
se
a
rsc
h
p
a
p
e
rs
in
v
a
rio
u
sCo
n
f
e
re
n
e
c
s
(2
5
)
a
n
d
j
o
u
r
n
a
ls
(1
0
)
.
He
w
a
s
a
lso
a
wa
rd
e
d
a
s
Yo
u
n
g
S
c
i
e
n
ti
st
i
n
5
t
h
Ch
h
a
t
ti
sg
a
rh
Yo
u
n
g
S
c
ien
ti
st
Co
n
g
re
ss
2
0
0
7
in
En
g
in
e
e
rin
g
S
c
ien
c
e
b
y
Ch
h
a
tt
isg
a
rh
Co
u
n
c
il
o
f
S
c
ien
c
e
&
T
e
c
h
n
o
lo
g
y
,
Ra
ip
u
r
(
CG
)
Dr
G
R
S
i
n
h
a
is
P
ro
f
e
ss
o
r
o
f
El
e
c
tro
n
ics
a
n
d
C
o
m
m
u
n
ica
ti
o
n
E
n
g
in
e
e
rin
g
i
n
C
M
R
T
e
c
h
n
ica
l
Ca
m
p
u
s
Hy
d
e
r
a
b
a
d
.
He
o
b
tai
n
e
d
h
is
B.
E
.
(El
e
c
tro
n
ics
En
g
in
e
e
r
in
g
)
a
n
d
M
.
T
e
c
h
.
(Co
m
p
u
ter
T
e
c
h
n
o
lo
g
y
)
f
ro
m
Na
ti
o
n
a
l
In
sti
tu
te
o
f
T
e
c
h
n
o
l
o
g
y
,
Ra
ip
u
r.
He
re
c
e
iv
e
d
G
o
ld
M
e
d
a
l
f
o
r
o
b
tain
i
n
g
f
irst
p
o
siti
o
n
i
n
t
h
e
U
n
iv
e
rsity
.
He
re
c
e
iv
e
d
h
is
P
h
.
D.
in
E
lec
tro
n
ics
&
T
e
lec
o
m
m
u
n
ica
ti
o
n
En
g
in
e
e
rin
g
f
ro
m
Ch
h
a
tt
isg
a
rh
S
w
a
m
i
V
iv
e
k
a
n
a
n
d
T
e
c
h
n
ica
l
Un
iv
e
rsity
,
Bh
il
a
i.
He
h
a
s
b
e
e
n
De
a
n
o
f
F
a
c
u
lt
y
a
n
d
Ex
e
c
u
ti
v
e
Co
u
n
c
il
M
e
m
b
e
r
o
f
Ch
h
a
tt
isg
a
rh
S
w
a
m
i
V
iv
e
k
a
n
a
n
d
T
e
c
h
n
ica
l
Un
iv
e
rsit
y
,
Bh
il
a
i.
He
is
a
p
p
o
i
n
te
d
a
s
Ex
p
e
rt
M
e
m
b
e
r
in
Ce
n
ter
o
f
Ex
c
e
ll
e
n
c
e
(T
IS
S
-
S
V
E)
o
f
T
a
ta
In
stit
u
te
o
f
S
o
c
ial
S
c
ien
c
e
s M
u
m
b
a
i
In
d
ia (A
P
re
stig
io
u
s In
sti
tu
te)
f
o
r
Tw
o
Ye
a
rs (2
0
1
7
-
2
0
1
9
).
He
h
a
s
p
u
b
l
ish
e
d
1
9
6
re
se
a
rc
h
p
a
p
e
rs
in
v
a
rio
u
s
i
n
tern
a
ti
o
n
a
l
a
n
d
n
a
ti
o
n
a
l
j
o
u
r
n
a
ls
a
n
d
c
o
n
f
e
re
n
c
e
s.
He
is
a
c
ti
v
e
re
v
ie
we
r
a
n
d
e
d
i
to
rial
m
e
m
b
e
r
o
f
m
o
re
th
a
n
1
2
Re
p
u
te
d
In
tern
a
ti
o
n
a
l
Jo
u
rn
a
ls
su
c
h
IE
EE
T
ra
n
sa
c
ti
o
n
s
o
n
Im
a
g
e
P
ro
c
e
ss
in
g
,
El
se
v
ier
Co
m
p
u
ter
M
e
th
o
d
s
a
n
d
P
ro
g
ra
m
s
in
Bi
o
m
e
d
icin
e
,
S
p
rin
g
e
r
Jo
u
rn
a
l
o
f
Ne
u
ra
l
C
o
m
p
u
ti
n
g
a
n
d
A
p
p
li
c
a
ti
o
n
s
e
tc.
He
h
a
s
re
v
iew
e
d
re
se
a
rc
h
p
a
p
e
rs
o
f
m
a
n
y
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
s
in
c
lu
d
in
g
IEE
E
c
o
n
f
e
re
n
c
e
s.
He
h
a
s
tea
c
h
i
n
g
a
n
d
re
se
a
rc
h
e
x
p
e
rien
c
e
o
f
1
9
y
e
a
rs.
He
h
a
s
b
e
e
n
Re
-
e
lec
ted
a
s
C
h
h
a
tt
isg
a
rh
Re
p
re
s
e
n
tativ
e
o
f
IE
EE
M
P
S
u
b
-
se
c
ti
o
n
Ex
e
c
u
ti
v
e
Co
u
n
c
il
2
0
1
7
.
He
w
a
s e
lec
ted
a
s
Ch
h
a
tt
isg
a
rh
Re
p
re
se
n
tativ
e
o
f
IE
EE
M
P
S
u
b
-
se
c
ti
o
n
Ex
e
c
u
ti
v
e
Co
u
n
c
il
2
0
1
6
.
He
h
a
s
b
e
e
n
se
le
c
ted
a
s
Distin
g
u
ish
e
d
S
p
e
a
k
e
r
in
th
e
f
ield
o
f
Dig
it
a
l
I
m
a
g
e
P
r
o
c
e
ss
in
g
b
y
Co
m
p
u
ter
S
o
c
iety
o
f
In
d
ia
(
2
0
1
5
).
He
is
re
c
ip
ien
t
o
f
m
a
n
y
a
w
a
rd
s
li
k
e
T
CS
Aw
a
rd
2
0
1
4
f
o
r
Ou
tstan
d
in
g
c
o
n
tr
ib
u
ti
o
n
s
in
Ca
m
p
u
s
Co
m
m
u
n
e
o
f
T
CS
,
Ra
jara
m
Ba
p
u
P
a
ti
l
IS
T
E
Na
ti
o
n
a
l
A
wa
rd
2
0
1
3
f
o
r
P
r
o
m
is
in
g
T
e
a
c
h
e
r
f
o
r
Cre
a
ti
v
e
w
o
rk
d
o
n
e
in
T
e
c
h
n
ica
l
Ed
u
c
a
ti
o
n
b
y
IS
T
E
Ne
w
De
lh
i,
E
m
e
rg
in
g
Ch
h
a
tt
isg
a
rh
Aw
a
rd
2
0
1
3
:
Be
st
A
c
a
d
e
m
icia
n
,
En
g
in
e
e
r
o
f
th
e
Ye
a
r
Aw
a
rd
2
0
1
1
,
Y
o
u
n
g
En
g
in
e
e
r
A
w
a
rd
2
0
0
8
,
Yo
u
n
g
S
c
ien
ti
st
A
w
a
rd
2
0
0
5
,
IEI
Ex
p
e
rt
En
g
in
e
e
r
Aw
a
rd
2
0
0
7
,
n
o
m
in
a
ted
f
o
r
IS
CA
Yo
u
n
g
S
c
ien
ti
st
Aw
a
rd
2
0
0
6
a
n
d
a
w
a
rd
e
d
De
sh
b
a
n
d
h
u
M
e
rit
S
c
h
o
lars
h
i
p
f
o
r
0
5
y
e
a
r
s.
He
h
a
s
b
e
e
n
se
lec
ted
a
s
Disti
n
g
u
ish
e
d
IEE
E
L
e
c
tu
re
r
in
I
EE
E
I
n
d
ia
c
o
u
n
c
il
f
o
r
B
o
m
b
a
y
se
c
ti
o
n
.
He
h
a
s b
e
e
n
e
lev
a
ted
to
S
e
n
i
o
r
M
e
m
b
e
r
o
f
IEE
E.
He
h
a
s
a
u
th
o
re
d
S
ix
Bo
o
k
s
in
c
lu
d
in
g
Bio
m
e
tri
c
s:
Co
n
c
e
p
ts
a
n
d
A
p
p
li
c
a
ti
o
n
s
p
u
b
l
ish
e
d
b
y
W
il
e
y
In
d
ia,
a
su
b
si
d
iary
o
f
J
o
h
n
W
il
e
y
a
n
d
M
e
d
ica
l
Im
a
g
e
P
r
o
c
e
ss
in
g
:
Co
n
c
e
p
ts
a
n
d
A
p
p
li
c
a
ti
o
n
s p
u
b
li
sh
e
d
b
y
P
re
n
t
ice
Ha
ll
o
f
In
d
ia.
He
is
C
o
n
s
u
lt
a
n
ts
o
f
v
a
rio
u
s
S
k
il
l
De
v
e
lo
p
m
e
n
t
in
it
iativ
e
s
o
f
NSDC,
G
o
v
t.
o
f
In
d
ia.
He
is
re
g
u
lar Refe
re
e
o
f
P
r
o
jec
t
G
ra
n
ts
u
n
d
e
r
D
S
T
-
EM
R
sc
h
e
m
e
o
f
G
o
v
t.
o
f
In
d
ia.
He
h
a
s d
e
li
v
e
re
d
m
a
n
y
Ke
y
n
o
te T
a
lk
s
a
n
d
Ch
a
ired
m
a
n
y
Tec
h
n
ica
l
S
e
ss
io
n
s in
In
tern
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
s
in
S
in
g
a
p
o
re
,
M
u
m
b
a
i,
T
riv
a
n
d
ru
m
,
H
y
d
e
ra
b
a
d
,
Na
g
p
u
r,
Ko
lag
h
a
t
&
a
c
ro
ss
th
e
c
o
u
n
try
.
His
S
p
e
c
ial
S
e
ss
io
n
o
n
“
De
e
p
L
e
a
rn
in
g
in
Bio
m
e
t
rics
”
w
a
s
in
c
lu
d
e
d
in
IEE
E
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
Im
a
g
e
P
ro
c
e
ss
in
g
2
0
1
7
.
He
is
F
e
ll
o
w
o
f
IET
E
Ne
w
De
lh
i
a
n
d
m
e
m
b
e
r
o
f
In
tern
a
ti
o
n
a
l
P
ro
f
e
ss
io
n
a
l
S
o
c
i
e
ti
e
s
su
c
h
a
s
IEE
E,
IA
CS
IT
&
S
IE
S
in
g
a
p
o
re
a
n
d
a
lso
o
f
m
a
n
y
Na
ti
o
n
a
l
P
r
o
f
e
ss
io
n
a
l
b
o
d
ies
l
ik
e
IS
T
E,
CS
I,
I
S
CA
,
a
n
d
IEI
.
He
is
m
e
m
b
e
r
o
f
v
a
rio
u
s
c
o
m
m
it
tee
s
o
f
th
e
Un
iv
e
rsity
a
n
d
h
a
s
b
e
e
n
V
i
c
e
P
re
sid
e
n
t
o
f
Co
m
p
u
ter
S
o
c
iety
o
f
In
d
ia
f
o
r
B
h
il
a
i
Ch
a
p
ter
f
o
r
tw
o
c
o
n
se
c
u
ti
v
e
y
e
a
rs.
He
h
a
s
G
u
id
e
d
F
o
u
r
P
h
D
S
c
h
o
lars
,
1
5
M
.
T
e
c
h
.
S
c
h
o
lars
a
n
d
h
a
s
b
e
e
n
S
u
p
e
rv
isin
g
0
5
m
o
re
P
h
D
S
c
h
o
lars
.
His
re
se
a
rc
h
in
tere
st
in
c
lu
d
e
s
Bi
o
m
e
tri
c
s,
De
e
p
L
e
a
rn
in
g
,
CA
D
&
M
e
d
ica
l
I
m
a
g
e
P
r
o
c
e
ss
in
g
,
Co
m
p
u
ter
V
isio
n
,
Em
p
lo
y
a
b
il
it
y
S
k
il
ls;
Ou
tco
m
e
b
a
se
d
Ed
u
c
a
ti
o
n
(OBE)
e
tc.
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