Spectral Compressive Sensing with Polar Interpolation

Karsten Fyhn, Hamid Dadkhahi, Marco F. Duarte

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

17 Citationer (Scopus)
278 Downloads (Pure)

Resumé

Existing approaches to compressive sensing of frequency-sparse signals focuses on signal recovery rather than spectral estimation. Furthermore, the recovery performance is limited by the coherence of the required sparsity dictionaries and by the discretization of the frequency parameter space. In this paper, we introduce a greedy recovery algorithm that leverages a band-exclusion function and a polar interpolation function to address these two issues in spectral compressive sensing. Our algorithm is geared towards line spectral estimation from compressive measurements and outperforms most existing approaches in fidelity and tolerance to noise.
OriginalsprogEngelsk
TitelProceedings of the 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) : ICASSP
ForlagIEEE Press
Publikationsdato2013
Sider6225-6229
ISBN (Trykt)9781479903573
ISBN (Elektronisk)978-1-4799-0356-6, 9781479903559
StatusUdgivet - 2013
Begivenhed2013 IEEE International Conference on Acoustics, Speech, and Signal Processing - Vancouver, Canada
Varighed: 26 maj 201331 maj 2013
Konferencens nummer: 38

Konference

Konference2013 IEEE International Conference on Acoustics, Speech, and Signal Processing
Nummer38
LandCanada
ByVancouver
Periode26/05/201331/05/2013
NavnI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN1520-6149

Fingerprint

Interpolation
Recovery
Glossaries

Citer dette

Fyhn, K., Dadkhahi, H., & F. Duarte, M. (2013). Spectral Compressive Sensing with Polar Interpolation. I Proceedings of the 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP): ICASSP (s. 6225-6229). IEEE Press. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
Fyhn, Karsten ; Dadkhahi, Hamid ; F. Duarte, Marco. / Spectral Compressive Sensing with Polar Interpolation. Proceedings of the 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP): ICASSP. IEEE Press, 2013. s. 6225-6229 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).
@inproceedings{ccefcdfc1e0b47f9ab3fb6bc0018e31b,
title = "Spectral Compressive Sensing with Polar Interpolation",
abstract = "Existing approaches to compressive sensing of frequency-sparse signals focuses on signal recovery rather than spectral estimation. Furthermore, the recovery performance is limited by the coherence of the required sparsity dictionaries and by the discretization of the frequency parameter space. In this paper, we introduce a greedy recovery algorithm that leverages a band-exclusion function and a polar interpolation function to address these two issues in spectral compressive sensing. Our algorithm is geared towards line spectral estimation from compressive measurements and outperforms most existing approaches in fidelity and tolerance to noise.",
author = "Karsten Fyhn and Hamid Dadkhahi and {F. Duarte}, Marco",
year = "2013",
language = "English",
isbn = "9781479903573",
pages = "6225--6229",
booktitle = "Proceedings of the 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)",
publisher = "IEEE Press",

}

Fyhn, K, Dadkhahi, H & F. Duarte, M 2013, Spectral Compressive Sensing with Polar Interpolation. i Proceedings of the 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP): ICASSP. IEEE Press, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, s. 6225-6229, Vancouver, Canada, 26/05/2013.

Spectral Compressive Sensing with Polar Interpolation. / Fyhn, Karsten; Dadkhahi, Hamid; F. Duarte, Marco.

Proceedings of the 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP): ICASSP. IEEE Press, 2013. s. 6225-6229.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Spectral Compressive Sensing with Polar Interpolation

AU - Fyhn, Karsten

AU - Dadkhahi, Hamid

AU - F. Duarte, Marco

PY - 2013

Y1 - 2013

N2 - Existing approaches to compressive sensing of frequency-sparse signals focuses on signal recovery rather than spectral estimation. Furthermore, the recovery performance is limited by the coherence of the required sparsity dictionaries and by the discretization of the frequency parameter space. In this paper, we introduce a greedy recovery algorithm that leverages a band-exclusion function and a polar interpolation function to address these two issues in spectral compressive sensing. Our algorithm is geared towards line spectral estimation from compressive measurements and outperforms most existing approaches in fidelity and tolerance to noise.

AB - Existing approaches to compressive sensing of frequency-sparse signals focuses on signal recovery rather than spectral estimation. Furthermore, the recovery performance is limited by the coherence of the required sparsity dictionaries and by the discretization of the frequency parameter space. In this paper, we introduce a greedy recovery algorithm that leverages a band-exclusion function and a polar interpolation function to address these two issues in spectral compressive sensing. Our algorithm is geared towards line spectral estimation from compressive measurements and outperforms most existing approaches in fidelity and tolerance to noise.

UR - http://www.scopus.com/inward/record.url?scp=84889070645&partnerID=8YFLogxK

M3 - Article in proceeding

SN - 9781479903573

SP - 6225

EP - 6229

BT - Proceedings of the 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

PB - IEEE Press

ER -

Fyhn K, Dadkhahi H, F. Duarte M. Spectral Compressive Sensing with Polar Interpolation. I Proceedings of the 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP): ICASSP. IEEE Press. 2013. s. 6225-6229. (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).