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.
Originalspråk | engelska |
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Titel på värdpublikation | [Host publication title missing] |
Förlag | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Sidor | 6210-6214 |
Status | Published - 2013 |
Evenemang | The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) - Vancouver, Kanada Varaktighet: 2013 maj 26 → 2013 maj 31 |
Publikationsserier
Namn | |
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ISSN (tryckt) | 1520-6149 |
Konferens
Konferens | The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) |
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Land/Territorium | Kanada |
Ort | Vancouver |
Period | 2013/05/26 → 2013/05/31 |
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