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 |
|---|---|
| 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 | |
|---|---|
| ISSN (tryckt) | 1520-6149 |
Konferens
| Konferens | The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) |
|---|---|
| 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