Scalable Wideband Principal Component Analysis via Microwave Photonics

Thomas Ferreira De Lima, Alexander N. Tait, Mitchell A. Nahmias, Bhavin J. Shastri, Paul Richard Prucnal

Research output: Contribution to journalArticle

7 Scopus citations

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.

Original languageEnglish (US)
Article number7426292
JournalIEEE Photonics Journal
Volume8
Issue number2
DOIs
StatePublished - Apr 1 2016

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

Keywords

  • Information processing
  • Microwave photonics signal processing
  • Optical neural systems

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