Computationally efficient damped Capon and APES spectral estimation
Glentis, George-Othan and Jakobsson, Andreas LU
(2013)
21st European Signal Processing Conference (EUSIPCO 2013)
- Abstract
- In this paper, we introduce computationally efficient imple-
mentations of the data-dependent non-parametric damped
Capon (dCapon) and APES (dAPES) spectral estimators.
These estimators form two-dimensional frequency represen-
tations over both frequency and damping, and have been
shown to enable an efficient separation of closely spaced
spectral lines with different line widths. The proposed imple-
mentations are formed using an FFT-based fast polynomial
reformulation exploiting the displacement structure of the
matrices associated with the trigonometric polynomials that
appear in the nominator and the denominator of the spec-
tral... (More) - In this paper, we introduce computationally efficient imple-
mentations of the data-dependent non-parametric damped
Capon (dCapon) and APES (dAPES) spectral estimators.
These estimators form two-dimensional frequency represen-
tations over both frequency and damping, and have been
shown to enable an efficient separation of closely spaced
spectral lines with different line widths. The proposed imple-
mentations are formed using an FFT-based fast polynomial
reformulation exploiting the displacement structure of the
matrices associated with the trigonometric polynomials that
appear in the nominator and the denominator of the spec-
tral estimators. The resulting implementations are exact and
notably reduces the required computational complexity of
the estimators. Numerical simulations illustrates the perfor-
mance and the achieved complexity gain of the proposed
implementations (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3991197
- author
- Glentis, George-Othan
and Jakobsson, Andreas
LU
- organization
- publishing date
- 2013
- type
- Contribution to conference
- publication status
- in press
- subject
- keywords
- Spectral estimation, damped sinusoidals, Capon, APES, computationally efficient implementations
- conference name
- 21st European Signal Processing Conference (EUSIPCO 2013)
- conference location
- Marrakech, Morocco
- conference dates
- 2013-09-09 - 2013-09-13
- language
- English
- LU publication?
- yes
- id
- 99be0a1c-58d9-46fb-a342-e9ba569b642f (old id 3991197)
- date added to LUP
- 2016-04-04 14:27:01
- date last changed
- 2018-11-21 21:20:23
@misc{99be0a1c-58d9-46fb-a342-e9ba569b642f,
abstract = {{In this paper, we introduce computationally efficient imple-<br/><br>
mentations of the data-dependent non-parametric damped<br/><br>
Capon (dCapon) and APES (dAPES) spectral estimators.<br/><br>
These estimators form two-dimensional frequency represen-<br/><br>
tations over both frequency and damping, and have been<br/><br>
shown to enable an efficient separation of closely spaced<br/><br>
spectral lines with different line widths. The proposed imple-<br/><br>
mentations are formed using an FFT-based fast polynomial<br/><br>
reformulation exploiting the displacement structure of the<br/><br>
matrices associated with the trigonometric polynomials that<br/><br>
appear in the nominator and the denominator of the spec-<br/><br>
tral estimators. The resulting implementations are exact and<br/><br>
notably reduces the required computational complexity of<br/><br>
the estimators. Numerical simulations illustrates the perfor-<br/><br>
mance and the achieved complexity gain of the proposed<br/><br>
implementations}},
author = {{Glentis, George-Othan and Jakobsson, Andreas}},
keywords = {{Spectral estimation; damped sinusoidals; Capon; APES; computationally efficient implementations}},
language = {{eng}},
title = {{Computationally efficient damped Capon and APES spectral estimation}},
url = {{https://lup.lub.lu.se/search/files/6363195/3991201.pdf}},
year = {{2013}},
}