Performance Comparison of Reconstruction Algorithms in Discrete Blind Multi-Coset Sampling

Ruben Grigoryan, Thomas Arildsen, Deepaknath Tandur, Torben Larsen

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3 Citationer (Scopus)
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Resumé

This paper investigates the performance of different reconstruction algorithms in discrete blind multi-coset sampling. Multi-coset scheme is a promising compressed sensing architecture that can replace traditional Nyquist-rate sampling in the applications with multi-band frequency sparse signals. The performance of the existing compressed sensing reconstruction algorithms have
not been investigated yet for the discrete multi-coset sampling. We compare the following algorithms – orthogonal matching pursuit, multiple signal classification, subspace-augmented multiple signal classification, focal under-determined system solver and basis pursuit denoising. The comparison is performed via numerical simulations for different sampling conditions. According to the simulations, focal under-determined system solver outperforms all other algorithms for signals with low signal-to-noise ratio. In other cases, the multiple signal classification algorithm is more beneficial.
OriginalsprogEngelsk
TitelProceedings of the 12th IEEE International Symposium on Signal Processing and Information Technology
Antal sider6
ForlagIEEE Press
Publikationsdato2012
Sider147-152
ISBN (Trykt)978-1-4673-5604-6
DOI
StatusUdgivet - 2012
BegivenhedIEEE International Symposium on Signal Processing and Information Technology - Ho Chi Minh City, Vietnam
Varighed: 12 dec. 201215 dec. 2012

Konference

KonferenceIEEE International Symposium on Signal Processing and Information Technology
LandVietnam
ByHo Chi Minh City
Periode12/12/201215/12/2012

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Sampling
Compressed sensing
Frequency bands
Signal to noise ratio
Computer simulation

Citer dette

Grigoryan, R., Arildsen, T., Tandur, D., & Larsen, T. (2012). Performance Comparison of Reconstruction Algorithms in Discrete Blind Multi-Coset Sampling. I Proceedings of the 12th IEEE International Symposium on Signal Processing and Information Technology (s. 147-152). IEEE Press. https://doi.org/10.1109/ISSPIT.2012.6621277
Grigoryan, Ruben ; Arildsen, Thomas ; Tandur, Deepaknath ; Larsen, Torben. / Performance Comparison of Reconstruction Algorithms in Discrete Blind Multi-Coset Sampling. Proceedings of the 12th IEEE International Symposium on Signal Processing and Information Technology. IEEE Press, 2012. s. 147-152
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title = "Performance Comparison of Reconstruction Algorithms in Discrete Blind Multi-Coset Sampling",
abstract = "This paper investigates the performance of different reconstruction algorithms in discrete blind multi-coset sampling. Multi-coset scheme is a promising compressed sensing architecture that can replace traditional Nyquist-rate sampling in the applications with multi-band frequency sparse signals. The performance of the existing compressed sensing reconstruction algorithms havenot been investigated yet for the discrete multi-coset sampling. We compare the following algorithms – orthogonal matching pursuit, multiple signal classification, subspace-augmented multiple signal classification, focal under-determined system solver and basis pursuit denoising. The comparison is performed via numerical simulations for different sampling conditions. According to the simulations, focal under-determined system solver outperforms all other algorithms for signals with low signal-to-noise ratio. In other cases, the multiple signal classification algorithm is more beneficial.",
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Grigoryan, R, Arildsen, T, Tandur, D & Larsen, T 2012, Performance Comparison of Reconstruction Algorithms in Discrete Blind Multi-Coset Sampling. i Proceedings of the 12th IEEE International Symposium on Signal Processing and Information Technology. IEEE Press, s. 147-152, IEEE International Symposium on Signal Processing and Information Technology, Ho Chi Minh City, Vietnam, 12/12/2012. https://doi.org/10.1109/ISSPIT.2012.6621277

Performance Comparison of Reconstruction Algorithms in Discrete Blind Multi-Coset Sampling. / Grigoryan, Ruben; Arildsen, Thomas; Tandur, Deepaknath; Larsen, Torben.

Proceedings of the 12th IEEE International Symposium on Signal Processing and Information Technology. IEEE Press, 2012. s. 147-152.

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

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Grigoryan R, Arildsen T, Tandur D, Larsen T. Performance Comparison of Reconstruction Algorithms in Discrete Blind Multi-Coset Sampling. I Proceedings of the 12th IEEE International Symposium on Signal Processing and Information Technology. IEEE Press. 2012. s. 147-152 https://doi.org/10.1109/ISSPIT.2012.6621277