A probabilistic approach on estimating the number of modular sonar sequences

Ki Hyeon Park, Hong Yeop Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We report some results of an extensive computer search for m ×n modular sonar sequences and estimate the number of inequivalent examples of size m ×n using a probabilistic approach. Evidence indicates strongly that a full size example exists with extremely small probability for large m.

Original languageEnglish
Title of host publicationSequences and Their Applications - SETA 2008 - 5th International Conference, Proceedings
Pages42-50
Number of pages9
DOIs
Publication statusPublished - 2008 Nov 26
Event5th International Conference on Sequences and Their Applications, SETA 2008 - Lexington, KY, United States
Duration: 2008 Sep 142008 Sep 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5203 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Sequences and Their Applications, SETA 2008
CountryUnited States
CityLexington, KY
Period08/9/1408/9/18

Fingerprint

Sonar
Probabilistic Approach
Estimate
Evidence

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Park, K. H., & Song, H. Y. (2008). A probabilistic approach on estimating the number of modular sonar sequences. In Sequences and Their Applications - SETA 2008 - 5th International Conference, Proceedings (pp. 42-50). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5203 LNCS). https://doi.org/10.1007/978-3-540-85912-3_4
Park, Ki Hyeon ; Song, Hong Yeop. / A probabilistic approach on estimating the number of modular sonar sequences. Sequences and Their Applications - SETA 2008 - 5th International Conference, Proceedings. 2008. pp. 42-50 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Park, KH & Song, HY 2008, A probabilistic approach on estimating the number of modular sonar sequences. in Sequences and Their Applications - SETA 2008 - 5th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5203 LNCS, pp. 42-50, 5th International Conference on Sequences and Their Applications, SETA 2008, Lexington, KY, United States, 08/9/14. https://doi.org/10.1007/978-3-540-85912-3_4

A probabilistic approach on estimating the number of modular sonar sequences. / Park, Ki Hyeon; Song, Hong Yeop.

Sequences and Their Applications - SETA 2008 - 5th International Conference, Proceedings. 2008. p. 42-50 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5203 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Park KH, Song HY. A probabilistic approach on estimating the number of modular sonar sequences. In Sequences and Their Applications - SETA 2008 - 5th International Conference, Proceedings. 2008. p. 42-50. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-85912-3_4