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EXHIBIT A
Inte
rvie
w w
ith
Exam
iner
sEx
par
te R
eexa
min
atio
n of
U.S
. Pat
ent 6
,201
,839
Augu
st 2
2, 2
014
Key
Poi
nts
Zeng
’sSe
ctio
ns 4
.4 a
nd 5
.2 D
o N
ot H
ave
Any,
Let
Alo
ne a
“S
et,”
of S
igna
l-Dep
ende
nt B
ranc
h M
etri
c Fu
ncti
ons.
Liti
gati
on C
onfir
ms
that
Zen
g’s
Thes
is
Doe
s N
ot In
valid
ate.
Roa
dmap
to C
MU
’s R
espo
nse
The
Clai
med
Inve
ntio
n
Zeng
’sTh
esis
The
CMU
v. M
arve
lllit
igat
ion
Agen
da
Inve
ntor
Dec
lara
tion
s
Dec
lara
tion
of D
r. C
hris
toph
er B
ajor
ek
Dec
lara
tion
of D
r. S
teve
n M
cLau
ghlin
Und
erly
ing
Rec
ord
in C
MU
v. M
arve
ll
Roa
dmap
to C
MU
’s R
espo
nse
Back
grou
nd
Sign
al-D
epen
dent
Bra
nch
Met
ric
Func
tion
s
Key
issu
e is
whe
ther
Zen
g’s
func
tion
s in
Sec
tion
4.4
and
5.2
ar
e si
gnal
-dep
ende
nt
stru
ctur
esp
ecifi
c
Req
uest
er s
ays
Zeng
’sfu
ncti
ons
in S
ecti
ons
4.4
and
5.2
acco
unt
for
SDN
bec
ause
of Z
eng’
s“r
ando
m ji
tter
” (k
or it
s va
rian
ce
2 ).
That
is w
rong
.
To d
emon
stra
te th
is w
e ne
ed to
dis
cuss
:
Mag
neti
c H
ard
Dis
k D
rive
Plat
ter/
Dis
k
Read
/Wri
te H
ead
Stor
es d
ata
in m
illio
ns o
f con
cent
ric
trac
ks
One
Tra
ckCo
ntai
ns te
ns o
f mill
ions
of s
ymbo
lreg
ions
Wri
tes d
igita
l dat
a as
mag
neti
c sy
mbo
l reg
ions
Read
s mag
neti
c sy
mbo
l reg
ions
from
the
trac
ks
Wri
ting
Dat
a to
the
Har
d D
isk
NS
NS
NS
NS
NSN
SN
SN
SN
SN
SN
S
NS
SN
SN
NS
NS
NS
SN
SN
WR
ITE
HEA
D
NS
Sym
bol
to b
e w
ritt
en
Rea
ding
Dat
a fr
om th
e H
ard
Dis
k
NS
NS
NS
NSN
SN
SN
SN
SN
SN
SN
S
REA
D H
EAD
NS
+0.3
+0.8
+1.1
+0.7
r 1r 2
r 3r 4
read
back
sign
al s
ampl
es,
sym
bol s
eque
nce
Com
plic
atio
ns fr
om M
edia
Noi
se
The
Prob
lem
2012
2004
2020
Med
ia n
oise
is “s
igna
l-dep
ende
nt”
Has
noi
se s
truc
ture
that
is a
ttri
buta
ble
to a
spe
cific
seq
uenc
e of
sym
bols
wri
tten
to th
e di
sk
Com
plic
atio
ns fr
om M
edia
Noi
se
Low
Noi
seH
igh
Noi
seLo
w N
oise
Hig
h N
oise
Mor
e de
tails
late
r w
hen
dem
onst
rati
ng Z
eng’
sfa
ilure
to a
ddre
ss
sign
al-d
epen
dent
noi
se.
A Vi
terb
idet
ecto
r de
term
ines
the
mos
t lik
ely
sequ
ence
of s
ymbo
ls w
ritt
en
to th
e di
sk b
ased
on
the
sign
al s
ampl
es b
y:
Vite
rbi D
etec
tors
and
Bra
nch
Met
ric
Func
tion
s
Assu
mes
noi
se is
whi
te
Exam
ple
Prio
r Ar
t Br
anch
Met
ric
Func
tion
The
Inve
ntio
n
NOV
ELTY
!
The
Inve
ntio
n
’839
Pat
ent,
Clai
m 4
*Bot
h th
e Re
ques
ter
and
Lee
ackn
owle
dge
that
the
clai
med
“set
” of s
igna
l-dep
ende
nt b
ranc
h m
etri
c fu
ncti
ons
requ
ires
at l
east
two
such
func
tion
s.
See
*
Impo
rtan
t Con
side
rati
ons
that
Inve
ntor
s Ad
dres
sed
Sign
al-d
epen
dent
func
tion
s m
ust b
e ne
ighb
orho
od-s
ensi
tive
Sign
al-d
epen
dent
func
tion
s m
ust b
e po
lari
ty-s
ensi
tive
The
Solu
tion
–Cl
aim
4
Equa
tion
13
–a
“set
” of s
igna
l-dep
ende
nt b
ranc
h m
etri
c fu
ncti
ons,
be
caus
e th
e co
vari
ance
mat
rix
C iis
diffe
rent
for
diffe
rent
bra
nche
s
FIR
Filt
er E
mbo
dim
ent –
a “s
et” b
ecau
se th
ere
is a
sep
arat
e fil
ter
(i.e
., a
sepa
rate
func
tion
), w
ith
its
own
tap
wei
ghts
, for
eac
h br
anch
Appl
y a
wei
ght (
wi)
to s
igna
l sam
ples
of d
iffer
ent t
ime
inst
ance
s
Each
bra
nch
has
its
own
FIR
filt
er (a
nd it
s ow
n ta
p w
eigh
ts)
The
Inve
ntio
n
Slid
ers
’839
Pat
ent,
Fig.
3B
A br
anch
met
ric
func
tion
app
lied
to a
plu
ralit
y of
sig
nal s
ampl
es
Bran
ch 1
Bran
ch 4
Bran
ch 7
Bran
ch 8
Bran
ch 2
Bran
ch 3
Bran
ch 5
Bran
ch 6
01
10
10
11
11
10
00
10
00
10
11
00
01 11 00 10
01 11 00 10
01 11 00 10
01 11 00 10
01 11 00 10
01 11 00 10
01 11 00 10
01 11 00 10
01 11 00 10
01 11 00 10
01 11 00 10
01 11 00 10
01 11 00 10
01 11 00 10
01 11 00 10
01 11 00 10
The
Inve
ntio
n
Zeng
’sTh
esis
Zeng
’s R
ando
m Ji
tter
is W
hite
, Not
Sig
nal-D
epen
dent
Zeng
’sCh
anne
l Mod
el –
equa
tion
4.1
Zeng
’s“r
ando
m ji
tter
” is
“ind
epen
dent
and
iden
tica
lly d
istr
ibut
ed r
ando
m
vari
able
s w
ith
zero
mea
n” -
in o
ther
wor
ds, “
whi
te”
“ran
dom
jitt
er” t
erm
aka,
ran
dom
pea
k sh
ift
SN
SN
SN
SN
SN
SN
SN
SN
NS
SS
NS
NS
NS
NS
NS
NS
N
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
SN
Not
Nei
ghbo
rhoo
d D
epen
dent
Not
Nei
ghbo
rhoo
d D
epen
dent
Not
Pol
arit
y D
epen
dent
Not
Pol
arit
y D
epen
dent
Wha
t Dr.
Lee
says
in 2
014:
Wha
t Dr.
Lee
said
in 1
990s
:
Lee
Conf
irm
ed th
at Z
eng’
sR
ando
m Ji
tter
is W
hite
, N
ot S
igna
l-Dep
ende
nt
“Dat
a-de
pend
ent”
and
“s
igna
l-dep
ende
nt” a
re te
rms
used
in th
e fie
ld to
indi
cate
th
at th
e no
ise
is d
epen
dent
on
the
spec
ific
sequ
ence
of
sym
bols
wri
tten
to th
e di
sk.
Assu
mes
jitt
er is
IID
(ind
epen
dent
ly a
nd id
enti
cally
dis
trib
uted
) ran
dom
var
iabl
es
Igno
res
the
pola
riti
es o
f the
tran
siti
ons
igno
red
d =
1 R
LL c
onst
rain
t
Zeng
ass
umes
“pre
com
pens
atio
n” w
hen
wri
ting
two
tran
siti
ons
in a
seq
uenc
e.
read
ing
Zeng
ass
umes
the
disk
is A
C-er
ased
(“de
gaus
sed”
) pri
or to
eac
h w
rite
to e
limin
ate
“ove
rwri
te e
ffect
.” Se
e
Rec
ogni
zes
but i
gnor
esth
at n
on-t
rans
itio
n se
quen
ces
have
sig
nal-d
epen
dent
noi
se.
Igno
res
all o
ther
iden
tifie
d si
gnal
-dep
ende
nt n
oise
.
Zeng
Ass
umed
Aw
ay th
e Pr
oble
m S
olve
d by
the
Kav
cic-
Mou
ra In
vent
ion
Expl
aine
d in
det
ail i
n D
r. Ba
jore
k’sd
ecla
rati
on.
Zeng
’sFu
ncti
ons
in S
ecti
on 4
.4 a
re N
ot
Sign
al-D
epen
dent
Non
e of
thes
efu
ncti
ons
acco
unt
for
the
stru
ctur
e of
the
med
ia n
oise
as
soci
ated
wit
h a
spec
ific
sequ
ence
of
wri
tten
sym
bols
.
Onl
y on
e of
th
em (N
o. 3
) has
a
term
rel
ated
to
Zeng
’s“r
ando
m ji
tter
”
Even
if Z
eng’
s“r
ando
m ji
tter
” ac
coun
ted
for
sign
al-d
epen
dent
no
ise,
at m
ost o
nly
one
such
func
tion
, so
not
a “s
et”
Expl
aine
d in
det
ail i
n Pr
of. M
cLau
ghlin
’s d
ecla
rati
on
Non
e of
thes
efu
ncti
ons
acco
unt f
or
the
stru
ctur
e of
the
med
ia n
oise
ass
ocia
ted
wit
h a
spec
ific
sequ
ence
of w
ritt
en s
ymbo
ls.
Onl
y on
e of
them
(No.
3)
has
a te
rm r
elat
ed to
Ze
ng’s
“ran
dom
jitt
er”
Cont
rary
to D
r. Le
e’s
asse
rtio
ns, S
ecti
on 5
.2
only
has
3 B
MFs
.
inpu
t
Zeng
’sFu
ncti
ons
in S
ecti
on 5
.2 a
re N
ot
Sign
al-D
epen
dent
& N
ot a
“Set
” of S
uch
Func
tion
s
Expl
aine
d in
det
ail i
n Pr
of. M
cLau
ghlin
’s d
ecla
rati
on
Zeng
’sO
wn
Thes
is A
dvis
or S
aid
CMU
Inve
ntor
s W
ere
Firs
tZe
ng’s
Thes
is a
dvis
or w
as P
rof.
Jaek
yun
Moo
n. S
ee
In 2
001
peer
-rev
iew
ed p
aper
, Pro
f. M
oon
said
the
sign
al-d
epen
dent
de
tect
or w
as “f
irst
der
ived
” by
the
CMU
inve
ntor
s
Zeng
’sTh
esis
is N
ot E
nabl
ing
Zeng
’s T
hesi
sN
ot E
nabl
ing
Expl
aine
d in
det
ail i
n Pr
of. K
avci
c’sd
ecla
rati
on
1.Ph
ysic
ally
impo
ssib
le c
hann
el m
odel
Zeng
’s T
hesi
s
not
Not
Ena
blin
g1.
Phys
ical
ly im
poss
ible
cha
nnel
mod
el2.
Phys
ical
ly im
poss
ible
sim
ulat
ion
resu
lts
Expl
aine
d in
det
ail i
n Pr
of. K
avci
c’sd
ecla
rati
on
Zeng
’s T
hesi
sN
ot E
nabl
ing
1.Ph
ysic
ally
impo
ssib
le c
hann
el m
odel
2.Ph
ysic
ally
impo
ssib
le s
imul
atio
n re
sult
s3.
Dis
ablin
g m
athe
mat
ical
err
ors
in S
ecti
on 5
.2
Enti
re s
um in
nu
mer
ator
no
t squ
ared
Wro
ng
targ
et
erro
rs a
re r
epea
ted
Expl
aine
d in
det
ail i
n Pr
of. K
avci
c’sd
ecla
rati
on
Mix
ed-u
p jt
erm
s
The
CMU
v. M
arve
llLi
tiga
tion
Rop
es &
Gra
y re
pres
ents
Mar
vell
befo
re th
e U
SPTO
Req
uest
er r
eque
sted
ree
xam
inat
ion
of o
nly
litig
ated
cla
ims
Req
uest
er d
id n
ot s
eek
Inte
r Pa
rtes
Rev
iew
Mar
vell’
s lit
igat
ion
coun
sel w
ould
nei
ther
adm
it n
or d
eny
that
M
arve
ll is
beh
ind
the
Req
uest
Dr.
Lee
(Req
uest
er’s
exp
ert)
and
Zin
ing
Wu
(Mar
vell’
s CT
O)
both
had
the
sam
e th
esis
adv
isor
at S
tanf
ord
at th
e sa
me
tim
e --
Prof
. Joh
n Ci
offi,
a fo
rmer
Mar
vell
boar
d m
embe
r
Even
if M
arve
ll di
d no
t req
uest
ree
xam
inat
ion,
its
cond
uct i
n th
e lit
igat
ion
is h
ighl
y pr
obat
ive
give
n it
s ex
pert
ise,
acc
ess
to Z
eng
and
ince
ntiv
e to
turn
ove
r ev
ery
ston
e.
See
Dayc
oPr
ods.,
Inc.
v. To
tal C
onta
inm
ent,
Inc.,
CMU
v. M
arve
ll
CMU
v. M
arve
ll
Rop
es &
Gra
y re
pres
ents
Mar
vell
befo
re U
SPTO
, see
, e.g
., Se
r. N
o. 1
4/16
6,42
8
Wit
ness
es
for
Mar
vell
in C
MU
cas
e
CMU
v. M
arve
ll
Rop
es &
Gra
y lis
ts M
arve
ll as
a c
lient
on
its
web
site
CMU
sue
d M
arve
ll on
Mar
ch 6
, 200
9
Mar
vell
mou
nted
a v
igor
ous
defe
nse
Mar
vell
cite
d Se
ctio
ns 4
.4 a
nd 5
.2 o
f Ze
ngTh
esis
in it
s in
valid
ity
cont
enti
ons
Mar
vell’
s ex
pert
, Pro
f. Jo
hn P
roak
is,
revi
ewed
Zen
g’s
Thes
is in
pre
pari
ng h
is
expe
rt r
epor
t but
did
not
opin
e th
at it
in
valid
ates
cla
im 4
.
CMU
v. M
arve
ll
Prof
. Joh
n Pr
oaki
s
Mar
vell’
s Inv
alid
ity C
onte
ntio
ns, N
ov. 1
6, 2
009
Mar
vell
Had
Eve
ry In
cent
ive
to P
ut o
n Be
st P
ossi
ble
Def
ense
Des
pite
ass
erti
ng Z
eng’
sTh
esis
in 2
009,
Mar
vell
Igno
red
Zeng
’sTh
esis
at T
rial
CMU
v. M
arve
ll
Exce
rpt f
rom
lab
note
book
of M
arve
ll en
gine
er,
Greg
ory
Burd
(Tri
al E
x. P-
196)
Quo
tes
from
Judg
e Fi
sche
r
copi
ed C
MU’
s pa
tent
s co
nsci
ousl
y an
d de
liber
atel
y fo
r an
en
tire
dec
ade.”
Mar
vell
delib
erat
ely
copi
ed C
MU’
s Pa
tent
s.”
Seco
ndar
y In
dici
a of
Non
obvi
ousn
ess
Unp
rece
dent
ed s
econ
dary
indi
cia
of n
onob
viou
snes
sre
veal
ed a
t tri
al
Copy
ing
Copy
ing
Seco
ndar
y In
dici
a of
Non
obvi
ousn
ess
CMU
v. M
arve
ll
Com
mer
cial
Suc
cess
Seco
ndar
y In
dici
a of
Non
obvi
ousn
ess
CMU
v. M
arve
ll
AN
exus
Bet
wee
n M
arve
ll’s
Copy
ing
and
its
Com
mer
cial
Suc
cess
CMU
v. M
arve
llSe
cond
ary
Indi
cia
of N
onob
viou
snes
s
CMU
v. M
arve
ll
Prai
se a
nd A
ccla
im in
the
Indu
stry
Seco
ndar
y In
dici
a of
Non
obvi
ousn
ess
CMU
v. M
arve
ll
Sati
sfac
tion
of L
ong-
felt
Nee
dSe
cond
ary
Indi
cia
of N
onob
viou
snes
s
Failu
re b
y O
ther
s
CMU
v. M
arve
llSe
cond
ary
Indi
cia
of N
onob
viou
snes
s
Key
Poi
nts
Zeng
’sSe
ctio
ns 4
.4 a
nd 5
.2 D
o N
ot H
ave
Any,
Let
Alo
ne a
“S
et,”
of S
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