A probabilistic approach on estimating the number of modular sonar sequences

Ki Hyeon Park; Hong Yeop Song

doi:10.1007/978-3-540-85912-3_4

A probabilistic approach on estimating the number of modular sonar sequences

Ki Hyeon Park, Hong Yeop Song

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Sequences and Their Applications - SETA 2008 - 5th International Conference, Proceedings
Pages	42-50
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-540-85912-3_4
Publication status	Published - 2008
Event	5th International Conference on Sequences and Their Applications, SETA 2008 - Lexington, KY, United States Duration: 2008 Sept 14 → 2008 Sept 18

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5203 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	5th International Conference on Sequences and Their Applications, SETA 2008
Country/Territory	United States
City	Lexington, KY
Period	08/9/14 → 08/9/18

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-85912-3_4

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

@inproceedings{a61e3f46851347cf9d3a0ee4c307ed91,

title = "A probabilistic approach on estimating the number of modular sonar sequences",

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.",

author = "Park, {Ki Hyeon} and Song, {Hong Yeop}",

year = "2008",

doi = "10.1007/978-3-540-85912-3_4",

language = "English",

isbn = "354085911X",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "42--50",

booktitle = "Sequences and Their Applications - SETA 2008 - 5th International Conference, Proceedings",

note = "5th International Conference on Sequences and Their Applications, SETA 2008 ; Conference date: 14-09-2008 Through 18-09-2008",

}

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 proceeding › Conference contribution

TY - GEN

T1 - A probabilistic approach on estimating the number of modular sonar sequences

AU - Park, Ki Hyeon

AU - Song, Hong Yeop

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=56449108649&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=56449108649&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-85912-3_4

DO - 10.1007/978-3-540-85912-3_4

M3 - Conference contribution

AN - SCOPUS:56449108649

SN - 354085911X

SN - 9783540859116

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 42

EP - 50

BT - Sequences and Their Applications - SETA 2008 - 5th International Conference, Proceedings

T2 - 5th International Conference on Sequences and Their Applications, SETA 2008

Y2 - 14 September 2008 through 18 September 2008

ER -

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)). doi: 10.1007/978-3-540-85912-3_4

A probabilistic approach on estimating the number of modular sonar sequences

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this