Silicon microring weight banks for multivariate RF photonics

A. N. Tait, T. Ferreira De Lima, A. X. Wu, E. Zhou, M. A. Nahmias, B. J. Shastri, M. P. Chang, P. R. Prucnal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Microring weight banks enable novel analog processing approaches in integrated photonics. Incorporating multivariate statistical techniques, microring weight banks can implement wideband, analog dimensionality reduction. We demonstrate principal component analysis of three 1GHz signals performed in a silicon microring weight bank.

Original languageEnglish (US)
Title of host publication2016 IEEE Photonics Conference, IPC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages11-12
Number of pages2
ISBN (Electronic)9781509019069
DOIs
StatePublished - Jan 23 2017
Event29th IEEE Photonics Conference, IPC 2016 - Waikoloa, United States
Duration: Oct 2 2016Oct 6 2016

Publication series

Name2016 IEEE Photonics Conference, IPC 2016

Other

Other29th IEEE Photonics Conference, IPC 2016
CountryUnited States
CityWaikoloa
Period10/2/1610/6/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

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  • Cite this

    Tait, A. N., De Lima, T. F., Wu, A. X., Zhou, E., Nahmias, M. A., Shastri, B. J., Chang, M. P., & Prucnal, P. R. (2017). Silicon microring weight banks for multivariate RF photonics. In 2016 IEEE Photonics Conference, IPC 2016 (pp. 11-12). [7830958] (2016 IEEE Photonics Conference, IPC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPCon.2016.7830958