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where
( x ) denotes the real part of complex-valued variable x . Specifically, when
L is odd,
R
2 L− 1
L− 1
1) ϕ ( a ( t ))+ ϕ ( b ( t )) =2
ω a ( t ) −b ( t ) ) .
(
· R
(
t =0
t =0
3 Correlation Distribution of Family
A
Throughout this paper let n be an odd integer and
{
η 0 1 ,
···
2 n 1 }
an enu-
i< 2 n− 1 ,
meration of the elements in
T
, satisfying η i +2 n 1 =1+ η i (mod 2),0
and
Tr 1 ( η i )= 0(mod2) , 0 ≤ i< 2 n− 1
1(mod2) , 2 n− 1
i< 2 n .
The well-known sequence Family
A
is defined in [1].
A
{
a i ,i =0 , 1 ,
···
, 2 n
}
Definition 1 ([1]). The sequence Family
=
of length
2 n
1 is defined by
a i ( t )= Tr 1 ((1 + 2 η i ) β t ) , 0
i< 2 n
2 Tr 1 ( β t ) ,
i =2 n .
In this paper, we will focus on a smaller set comprised of the first 2 n sequences.
For convenience, we still call it Family
, 2 n
A
, i.e.,
A
=
{
a i ,i =0 , 1 ,
···
1
}
.
, 2 n− 1
a i ,i =2 n− 1 ,
, 2 n
Let
A 1 =
{
a i ,i =0 ,
···
1
}
and
A 2 =
{
···
1
}
.
Specifically, we are interested in the correlation distribution between
A i and
A j ,
1
2, which is crucial to derive our main result on the correlation distri-
bution of the family of Kerdock sequences. First of all, consider the correlation
function between a i ∈A
i, j
and a j ∈A
at the shift τ as
2 n
2
ω Tr 1 ((1+2 η i ) β t + τ
(1+2 η j ) β t ) .
R i,j ( τ )=
t =0
Define θ τ =(1+2 η i ) β τ
(1+2 η j )= b τ +2 c τ , b τ ,c τ ∈T .If b τ = 0, which implies
= j )and R i,j ( τ )=2 n
τ =0,then R i,j ( τ )=
1when c τ
= 0 (that is i
1when
c τ
c τ = 0 (that is i = j ). Otherwise let U τ =
b τ ∈T
, the correlation function then
becomes
2 n
2
ω Tr 1 ((1+2 U τ ) β t ) .
R i,j ( τ )=
t =0
Next, the following lemma is important to determine the distribution of U τ when
a i ,a j range over
A 2 .
Lemma 2 ([5]). Let 0 <τ < 2 n
A 1 or
1 . Then for any c
∈T
the number of solutions
η i , η j satisfying U τ = c is 2 n− 2
if i runs from 2 n− 1 δ 1 to 2 n− 1 (1 + δ 1 )
1 ,and
j runs from 2 n− 1 δ 2 to 2 n− 1 (1 + δ 2 )
1 , respectively, where δ 1 2 ∈{
0 , 1
}
.
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