Efficient Implementation of the IAA-based Magnitude Squared Coherence Estimator
(2011) 17th International Conference on Digital Signal Processing- Abstract
- Recently, a novel Magnitude Squared Coherence (MSC) estimator was proposed using the Iterative Adaptive Approach (IAA) algorithm. In this paper, we present a computationally efficient implementation of this estimator, exploiting the inherently low displacement rank of the necessary products of Toeplitz-like matrices, thereby allowing for the development of appropriate Gohberg-Semencul (GS) representations of these matrices. Together with relevant data dependent trigonometric polynomials, the presented implementation offers a substantial computational reduction as compared to earlier implementations. Numerical simulations along with theoretical complexity estimations illustrate the performance of the proposed algorithm.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2158488
- author
- Aggelopoulos, Kostas ; Glentis, George-Othan and Jakobsson, Andreas LU
- organization
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Capon estimator, Coherence spectrum, efficient algorithms, iterative adaptive approach
- host publication
- Digital Signal Processing (DSP), 2011 17th International Conference on
- pages
- 6 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 17th International Conference on Digital Signal Processing
- conference dates
- 2011-07-06 - 2011-07-08
- external identifiers
-
- scopus:80053156424
- ISBN
- 978-1-4577-0273-0 (print)
- DOI
- 10.1109/ICDSP.2011.6004942
- language
- English
- LU publication?
- yes
- id
- b648bfbd-bdaa-47a2-b146-3152e0937252 (old id 2158488)
- date added to LUP
- 2016-04-04 09:58:43
- date last changed
- 2022-01-29 19:37:23
@inproceedings{b648bfbd-bdaa-47a2-b146-3152e0937252, abstract = {{Recently, a novel Magnitude Squared Coherence (MSC) estimator was proposed using the Iterative Adaptive Approach (IAA) algorithm. In this paper, we present a computationally efficient implementation of this estimator, exploiting the inherently low displacement rank of the necessary products of Toeplitz-like matrices, thereby allowing for the development of appropriate Gohberg-Semencul (GS) representations of these matrices. Together with relevant data dependent trigonometric polynomials, the presented implementation offers a substantial computational reduction as compared to earlier implementations. Numerical simulations along with theoretical complexity estimations illustrate the performance of the proposed algorithm.}}, author = {{Aggelopoulos, Kostas and Glentis, George-Othan and Jakobsson, Andreas}}, booktitle = {{Digital Signal Processing (DSP), 2011 17th International Conference on}}, isbn = {{978-1-4577-0273-0 (print)}}, keywords = {{Capon estimator; Coherence spectrum; efficient algorithms; iterative adaptive approach}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Efficient Implementation of the IAA-based Magnitude Squared Coherence Estimator}}, url = {{http://dx.doi.org/10.1109/ICDSP.2011.6004942}}, doi = {{10.1109/ICDSP.2011.6004942}}, year = {{2011}}, }