Title :
Binary sequences with good aperiodic autocorrelation functions obtained by neural network search
Author :
Hu, Fengping ; Fan, P.Z. ; Darnell, M. ; Jin, Fan
Author_Institution :
Coll. of Comput. & Commun. Eng., Southwest Jiaotong Univ., Sichuan
fDate :
4/10/1997 12:00:00 AM
Abstract :
Binary sequences having good aperiodic autocorrelation functions (ACFs) with low sidelobes have found many applications. However, few good binary sequences are available for large sequence lengths. Apart from the well-known Barker sequences, the best possible sequences up to a length of 48 have been obtained essentially by an exhaustive search. The authors present binary sequences up to a length of 100 with good aperiodic ACFs, derived via a neural network approach
Keywords :
Hopfield neural nets; binary sequences; correlation theory; aperiodic autocorrelation functions; binary sequences; exhaustive search; neural network search;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19970468