Fast Algorithms for Iterative Adaptive Approach Spectral Estimation Techniques
Glentis, George-Othan and Jakobsson, Andreas LU
(2011)
36th International Conference on Acoustics, Speech and Signal Processing
- Abstract
- This paper presents computationally efficient implementations for Iterative Adaptive Approach (IAA) spectral estimation techniques for uniformly sampled data sets. By exploiting the methods inherent low displacement rank, together with the development of suitable Gohberg-Semencul representations, and the use of data dependent trigonometric polynomials, the proposed implementations are shown to offer a reduction of the necessary computational complexity with at least one order of magnitude. Numerical simulations together with theoretical complexity measures illustrate the achieved performance gain.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2158486
- author
- Glentis, George-Othan
and Jakobsson, Andreas
LU
- organization
- publishing date
- 2011
- type
- Contribution to conference
- publication status
- published
- subject
- conference name
- 36th International Conference on Acoustics, Speech and Signal Processing
- conference dates
- 2011-05-22 - 2011-05-27
- external identifiers
-
- scopus:80051642498
- language
- English
- LU publication?
- yes
- id
- 4c950c8e-19f8-498c-8645-1f32429b260d (old id 2158486)
- date added to LUP
- 2016-04-04 13:43:25
- date last changed
- 2022-01-30 00:45:55
@misc{4c950c8e-19f8-498c-8645-1f32429b260d,
abstract = {{This paper presents computationally efficient implementations for Iterative Adaptive Approach (IAA) spectral estimation techniques for uniformly sampled data sets. By exploiting the methods inherent low displacement rank, together with the development of suitable Gohberg-Semencul representations, and the use of data dependent trigonometric polynomials, the proposed implementations are shown to offer a reduction of the necessary computational complexity with at least one order of magnitude. Numerical simulations together with theoretical complexity measures illustrate the achieved performance gain.}},
author = {{Glentis, George-Othan and Jakobsson, Andreas}},
language = {{eng}},
title = {{Fast Algorithms for Iterative Adaptive Approach Spectral Estimation Techniques}},
year = {{2011}},
}