DocumentCode
1190760
Title
Statistical Properties of Random Digital Sequences
Author
Booth, Taylor L.
Author_Institution
IEEE
Issue
5
fYear
1968
fDate
5/1/1968 12:00:00 AM
Firstpage
452
Lastpage
461
Abstract
Abstract—Recent studies have shown that many noise processes in sequential networks can be described as a multinomial process, a Markov process, or a linearly dependent process. This paper extends the results of those studies to show how the statistics of any sequence selected from processes of this type can be calculated.
Keywords
Index terms—Linearly dependent processes, logical composition of sequences, Markov processes, probabilistic automata, random digital sequences, random processes, sequence statistics.; Automata; Boats; Centralized control; Character generation; Markov processes; Probability; Random processes; Random sequences; Statistics; Underwater vehicles; Index terms—Linearly dependent processes, logical composition of sequences, Markov processes, probabilistic automata, random digital sequences, random processes, sequence statistics.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/TC.1968.226909
Filename
1687374
Link To Document