Subspace-Based Estimation of Symbolic Periodicities
Swärd, Johan LU and Jakobsson, Andreas LU
(2013)
The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)
p.6210-6214
- 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 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3577197
- author
- Swärd, Johan
LU
and Jakobsson, Andreas
LU
- organization
- publishing date
- 2013
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Spectrum analysis, symbolic sequences, hidden periodicities, subspace techniques.
- host publication
- [Host publication title missing]
- pages
- 6210 - 6214
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)
- conference location
- Vancouver, Canada
- conference dates
- 2013-05-26 - 2013-05-31
- external identifiers
-
- wos:000329611506074
- scopus:84890470065
- ISSN
- 1520-6149
- language
- English
- LU publication?
- yes
- additional info
- The paper is to appear in the IEEE conference proceedings "Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on"
- id
- 6376e04b-ddee-4049-84e8-1df93654e658 (old id 3577197)
- date added to LUP
- 2016-04-01 14:51:43
- date last changed
- 2022-01-28 02:53:26
@inproceedings{6376e04b-ddee-4049-84e8-1df93654e658,
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 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.}},
author = {{Swärd, Johan and Jakobsson, Andreas}},
booktitle = {{[Host publication title missing]}},
issn = {{1520-6149}},
keywords = {{Spectrum analysis; symbolic sequences; hidden periodicities; subspace techniques.}},
language = {{eng}},
pages = {{6210--6214}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Subspace-Based Estimation of Symbolic Periodicities}},
url = {{https://lup.lub.lu.se/search/files/4203616/3577206.pdf}},
year = {{2013}},
}