Time-updating IAA-based spectral estimates with missing samples using data interpolation
(2013) The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) p.6205-6209- Abstract
- In this work, we propose a computationally efficient time-updating algorithm for estimating the spectral content of a signal with missing samples. The algorithm extends earlier work on the topic by formulating a data-interpolation scheme reducing the required complexity to a fraction of the earlier efficient implementation, without resulting in any noticeable loss of performance for even a quite large degree of missing samples.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3991085
- author
- Glentis, George-Othan ; Jakobsson, Andreas LU and Angelopoulos, Kostas
- organization
- publishing date
- 2013
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Spectrum estimation theory and methods, Iterative Adaptive Approach (IAA), fast algorithms
- host publication
- Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
- pages
- 5 pages
- 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
-
- scopus:84890495540
- DOI
- 10.1109/ICASSP.2013.6638858
- language
- English
- LU publication?
- yes
- id
- 4d484a4f-dde5-49a3-acdb-a7420b0ae176 (old id 3991085)
- date added to LUP
- 2016-04-04 10:49:06
- date last changed
- 2022-01-29 20:53:10
@inproceedings{4d484a4f-dde5-49a3-acdb-a7420b0ae176, abstract = {{In this work, we propose a computationally efficient time-updating algorithm for estimating the spectral content of a signal with missing samples. The algorithm extends earlier work on the topic by formulating a data-interpolation scheme reducing the required complexity to a fraction of the earlier efficient implementation, without resulting in any noticeable loss of performance for even a quite large degree of missing samples.}}, author = {{Glentis, George-Othan and Jakobsson, Andreas and Angelopoulos, Kostas}}, booktitle = {{Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on}}, keywords = {{Spectrum estimation theory and methods; Iterative Adaptive Approach (IAA); fast algorithms}}, language = {{eng}}, pages = {{6205--6209}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Time-updating IAA-based spectral estimates with missing samples using data interpolation}}, url = {{https://lup.lub.lu.se/search/files/5628179/3991202.pdf}}, doi = {{10.1109/ICASSP.2013.6638858}}, year = {{2013}}, }