Subspace-Based Estimation of Symbolic Periodicities

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Sammanfattning

In this work, we propose a novel subspace-based estimator of periodicities in symbolic sequences. The estimator exploits the harmonic structure naturally occurring in symbolic se- quences and iteratively forms the estimate of the periodicities using a MUSIC-like formulation. The estimator allows for alphabets of different sizes, but is here illustrated using both simulated and real DNA measurements, showing a notable performance gain as compared to other common estimators.
Originalspråkengelska
Titel på värdpublikation[Host publication title missing]
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor6210-6214
StatusPublished - 2013
EvenemangThe 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) - Vancouver, Kanada
Varaktighet: 2013 maj 262013 maj 31

Publikationsserier

Namn
ISSN (tryckt)1520-6149

Konferens

KonferensThe 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)
Land/TerritoriumKanada
OrtVancouver
Period2013/05/262013/05/31

Bibliografisk information

The paper is to appear in the IEEE conference proceedings
"Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on"

Ämnesklassifikation (UKÄ)

  • Sannolikhetsteori och statistik

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