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Time-updating IAA-based spectral estimates with missing samples using data interpolation

Glentis, George-Othan ; Jakobsson, Andreas LU orcid and Angelopoulos, Kostas (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:
author
; and
organization
publishing date
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}},
}