Scalable Wideband Principal Component Analysis via Microwave Photonics
Author(s): Ferreira De Lima, T; Tait, AN; Nahmias, MA; Shastri, BJ; Prucnal, Paul R
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Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ferreira De Lima, T | - |
dc.contributor.author | Tait, AN | - |
dc.contributor.author | Nahmias, MA | - |
dc.contributor.author | Shastri, BJ | - |
dc.contributor.author | Prucnal, Paul R | - |
dc.date.accessioned | 2020-04-01T13:23:14Z | - |
dc.date.available | 2020-04-01T13:23:14Z | - |
dc.date.issued | 2016-3-4 | en_US |
dc.identifier.citation | Ferreira De Lima, T, Tait, AN, Nahmias, MA, Shastri, BJ, Prucnal, PR. (2016). Scalable Wideband Principal Component Analysis via Microwave Photonics. IEEE Photonics Journal, 8 (10.1109/JPHOT.2016.2538759 | en_US |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/pr17r44 | - |
dc.description.abstract | Microwave photonics (MWP) provides advantages in bandwidth performance and fan-in scalability that are far superior to electronic counterparts. Processing of many channels at high bandwidths is not easily achievable in any electronic implementation. We consider an MWP system that iteratively performs principal component analysis (PCA) on partially correlated, eight-channel, and 13-GBd signals. The system that is presented is able to adapt to oscillations in interchannel correlations and follow changing principal components. Wideband multidimensional techniques are relevant to > 10-GHz radio systems and could bring solutions for intelligent radio communications and information sensing. | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartof | IEEE Photonics Journal | en_US |
dc.rights | Final published version. This is an open access article. | en_US |
dc.title | Scalable Wideband Principal Component Analysis via Microwave Photonics | en_US |
dc.type | Journal Article | en_US |
dc.identifier.doi | doi:10.1109/JPHOT.2016.2538759 | - |
dc.date.eissued | 2016-3-4 | en_US |
pu.type.symplectic | http://www.symplectic.co.uk/publications/atom-terms/1.0/journal-article | en_US |
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Scalable Wideband Principal Component Analysis via Microwave Photonics.pdf | 805.87 kB | Adobe PDF | View/Download |
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