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 :
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