Name
Abstract | ||
|---|---|---|
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 sequences 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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2013.6638859 | Acoustics, Speech and Signal Processing |
Keywords | DocType | ISSN |
dna,estimation theory,genomics,dna measurements,music-like formulation,harmonic structure,subspace-based estimation,symbolic periodicities,symbolic sequences,spectrum analysis,hidden periodicities,subspace techniques | Conference | 1520-6149 |
Citations | PageRank | References |
2 | 0.46 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johan Sward | 1 | 37 | 11.84 |
| Andreas Jakobsson | 2 | 409 | 43.32 |