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where τ runs through 0 <τ< 2(2 n
1) and i, j vary from 2 n− 1
to 2 n
1,
respectively.
Case 6 .0
i< 2 n− 1
j< 2 n and τ
=0.
It follows from Lemma 1 and Lemma 7 that
R i,j ( τ )= 2
( 2 n
2
t =0
ω a i ( t + τ 1 ) −a j ( t ) 3 ) ,
· R
τ =2 τ 1
( 2 n
ω a i +2 n 1 ( t + τ 1 +2 n 1 ) −a j ( t ) 3 ) =2 τ 1 +1 .
2
t =0
2
· R
In a similar manner to Case 4, we arrive at the following distribution
2 2 n− 2 times
0 ,
2 n + 2 ,
2 2 n− 2 (2 n
R i,j ( τ )=
2) times
(9)
2 n + 2 , 2 2 n− 2 (2 n
2) times
with τ ranging through 0 <τ < 2(2 n
1), i and j varying from 0 to 2 n− 1
1
and 2 n− 1 to 2 n
1, respectively.
Case 7 .0 ≤ j< 2 n− 1
≤ i< 2 n and τ =0.
The correlation function is
R i,j ( τ )= 2
( 2 n
2
ω a i ( t + τ 1 )+3 −a j ( t ) ) ,
· R
τ =2 τ 1
t =0
( 2 n
ω a i 2 n 1 ( t + τ 1 +2 n 1 )+1 −a j ( t ) ) =2 τ 1 +1 ,
2
2
· R
t =0
which has the same correlation distribution as (9).
References
1. Boztas, S., Hammons, R., Kumar, P.V.: 4-phase sequences with near-optimum cor-
relation properties. IEEE Trans. Inform. Theory 38, 1101-1113 (1992)
2. Fan, P.Z., Darnell, M.: Sequence Design for Communications Applications. John
Wiley, Chichester (1996)
3. Hammons, R., Kumar, P.V., Calderbank, A.N., Sloane, N.J.A., Sole, P.: The Z 4 -
Linearity of Kerdock, Preparata, Goethals and Related Codes. IEEE Trans. Inform.
Theory 40, 301-319 (1994)
4. Helleseth, T., Kumar, P.V.: Sequences with low correlation. In: Pless, V., Huffman,
C. (eds.) Handbook of Coding Theory, Elsevier, Amsterdam (1998)
5. Johansen, A., Helleseth, T., Tang, X.H.: The correlation distribution of sequences
of period 2(2 n 1). IEEE Trans. Inform. Theory (to appear)
6. Nechaev, A.A.: Kerdock code in a cyclic form. Discrete Mathematics Appl. 1, 365-
384 (1991)
7. Udaya, P., Siddiqi, M.U.: Optimal biphase sequences with large linear complexity
derived from sequences over Z4. IEEE Trans. Inform. Theory 42, 206-216 (1996)
8. Tang, X.H., Udaya, P., Fan, P.Z.: Generalized binary Udaya-Siddiqi sequences. IEEE
Transactions on Information Theory 53, 1225-1230 (2007)
 
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