DocumentCode
932359
Title
On the classification of balanced binary sequences of period
(Corresp.)
Author
Golomb, Solomon W.
Volume
26
Issue
6
fYear
1980
fDate
11/1/1980 12:00:00 AM
Firstpage
730
Lastpage
732
Abstract
Let
be the set of all binary sequences of period
containing
ones and
zeros per period. There is a lattice of interesting subsets of
, the smallest of which is the set
(the maximum-length linear shift register sequences of period
). In between are sets with the run statistics of
, with the correlation properties of
, with the "span-
property" (that every nonzero subseqnonce of length
occurs in each period), and others. Results concerning the interrelationships of these subsets are obtained, examples are given to show that certain intersections of subsets are nonempty, and conjectures are formulated regarding other intersections of subsets. For example, it is conjectured that all span-
sequences with the two-level autocorrelation property are in class
. Some relationships between run properties and correlation properties of binary sequences are also obtained.
be the set of all binary sequences of period
containing
ones and
zeros per period. There is a lattice of interesting subsets of
, the smallest of which is the set
(the maximum-length linear shift register sequences of period
). In between are sets with the run statistics of
, with the correlation properties of
, with the "span-
property" (that every nonzero subseqnonce of length
occurs in each period), and others. Results concerning the interrelationships of these subsets are obtained, examples are given to show that certain intersections of subsets are nonempty, and conjectures are formulated regarding other intersections of subsets. For example, it is conjectured that all span-
sequences with the two-level autocorrelation property are in class
. Some relationships between run properties and correlation properties of binary sequences are also obtained.Keywords
Sequences; Autocorrelation; Binary sequences; Lattices; Marine vehicles; Shift registers; Statistics; Terminology; Tin;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1980.1056265
Filename
1056265
Link To Document