Title :
Partial period crosscorrelations of geometric sequences
Author_Institution :
Dept. of Comput. Sci., Kentucky Univ., Lexington, KY, USA
fDate :
1/1/1996 12:00:00 AM
Abstract :
The expectations and variances of partial period crosscorrelations for certain geometric sequences are estimated. The expectations of the partial period crosscorrelations are shown to be proportional to the periodic crosscorrelations. Bounds are found for the variance that show that with high probability the partial period crosscorrelations are small if the sequences are balanced
Keywords :
binary sequences; correlation theory; expectations; geometric sequences; partial period crosscorrelations; periodic crosscorrelations; variances; Associate members; Autocorrelation; Binary sequences; Galois fields; Hamming weight; Hardware; Multiaccess communication; Parity check codes; Random sequences; Upper bound;
Journal_Title :
Information Theory, IEEE Transactions on
