Statistical Span Property of Binary Run Sequences

Gangsan Kim, Hong Yeop Song

Research output: Contribution to journalArticlepeer-review

Abstract

We define run sequences of period 2<italic>n</italic> - 1 as the binary sequences where the distribution of runs of 0&#x2019;s and runs of 1&#x2019;s is exactly same as that for the maximal length linear shift resister sequences of period 2<italic>n</italic> - 1. We first count the number of all the cyclically distinct run sequences of period 2<italic>n</italic> - 1. For each <italic>n</italic>-tuple, we consider the average number of occurrences over all the run sequences of period 2<italic>n</italic> - 1. We identify the <italic>n</italic>-tuples with average number 1 and, in particular, those that occur exactly once in every run sequence of period 2<italic>n</italic> - 1. We finally prove that, as <italic>n</italic> increases, the average number of every non-zero <italic>n</italic>-tuple approaches to 1.

Original languageEnglish
Pages (from-to)1
Number of pages1
JournalIEEE Transactions on Information Theory
DOIs
Publication statusAccepted/In press - 2022

Bibliographical note

Publisher Copyright:
IEEE

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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