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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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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.
Publication Date: 4-Mar-2016
Electronic Publication Date: 4-Mar-2016
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
DOI: doi:10.1109/JPHOT.2016.2538759
Type of Material: Journal Article
Journal/Proceeding Title: IEEE Photonics Journal
Version: Final published version. This is an open access article.

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