Block-Recursive IAA-based Spectral Estimates with Missing Samples using data interpolation

George Glentis; Andreas Jakobsson; Kostas Angelopoulos

doi:10.1109/ICASSP.2014.6853616

Block-Recursive IAA-based Spectral Estimates with Missing Samples using data interpolation

George Glentis, Andreas Jakobsson, Kostas Angelopoulos

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

4 Citations (SciVal)

Abstract

In this work, we examine a computationally efficient block-updating scheme for estimating the spectral content of signals with missing samples. The work is an extension of our recent single-sample data interpolation updating of the Iterative Adaptive Approach (IAA), being reformulated to incorporate blocks of samples. The proposed implementation offers a substantial complexity reduction as compared to earlier presented updating schemes, without sacrificing the quality of the resulting spectral estimates more than marginally (if at all).

Original language	English
Title of host publication	Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	350-354
Number of pages	5
ISBN (Print)	978-1-4799-2892-7
DOIs	https://doi.org/10.1109/ICASSP.2014.6853616
Publication status	Published - 2014
Event	2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014) - Florence, Italy Duration: 2014 May 4 → 2014 May 9

Conference

Conference	2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)
Country/Territory	Italy
City	Florence
Period	2014/05/04 → 2014/05/09

Subject classification (UKÄ)

Probability Theory and Statistics

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10.1109/ICASSP.2014.6853616

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6853616

Cite this

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title = "Block-Recursive IAA-based Spectral Estimates with Missing Samples using data interpolation",

abstract = "In this work, we examine a computationally efficient block-updating scheme for estimating the spectral content of signals with missing samples. The work is an extension of our recent single-sample data interpolation updating of the Iterative Adaptive Approach (IAA), being reformulated to incorporate blocks of samples. The proposed implementation offers a substantial complexity reduction as compared to earlier presented updating schemes, without sacrificing the quality of the resulting spectral estimates more than marginally (if at all).",

author = "George Glentis and Andreas Jakobsson and Kostas Angelopoulos",

year = "2014",

doi = "10.1109/ICASSP.2014.6853616",

language = "English",

isbn = "978-1-4799-2892-7",

pages = "350--354",

booktitle = "Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014) ; Conference date: 04-05-2014 Through 09-05-2014",

}

Glentis, G, Jakobsson, A & Angelopoulos, K 2014, Block-Recursive IAA-based Spectral Estimates with Missing Samples using data interpolation. in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on. IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 350-354, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, Italy, 2014/05/04. https://doi.org/10.1109/ICASSP.2014.6853616

Block-Recursive IAA-based Spectral Estimates with Missing Samples using data interpolation. / Glentis, George; Jakobsson, Andreas; Angelopoulos, Kostas.

Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on. IEEE - Institute of Electrical and Electronics Engineers Inc., 2014. p. 350-354.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Block-Recursive IAA-based Spectral Estimates with Missing Samples using data interpolation

AU - Glentis, George

AU - Jakobsson, Andreas

AU - Angelopoulos, Kostas

PY - 2014

Y1 - 2014

N2 - In this work, we examine a computationally efficient block-updating scheme for estimating the spectral content of signals with missing samples. The work is an extension of our recent single-sample data interpolation updating of the Iterative Adaptive Approach (IAA), being reformulated to incorporate blocks of samples. The proposed implementation offers a substantial complexity reduction as compared to earlier presented updating schemes, without sacrificing the quality of the resulting spectral estimates more than marginally (if at all).

AB - In this work, we examine a computationally efficient block-updating scheme for estimating the spectral content of signals with missing samples. The work is an extension of our recent single-sample data interpolation updating of the Iterative Adaptive Approach (IAA), being reformulated to incorporate blocks of samples. The proposed implementation offers a substantial complexity reduction as compared to earlier presented updating schemes, without sacrificing the quality of the resulting spectral estimates more than marginally (if at all).

U2 - 10.1109/ICASSP.2014.6853616

DO - 10.1109/ICASSP.2014.6853616

M3 - Paper in conference proceeding

SN - 978-1-4799-2892-7

SP - 350

EP - 354

BT - Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)

Y2 - 4 May 2014 through 9 May 2014

ER -

Block-Recursive IAA-based Spectral Estimates with Missing Samples using data interpolation

Abstract

Conference

Subject classification (UKÄ)

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