Lightwave neuromorphic signal processing

Mable Fok, David Rosenbluth, Konstantin Kravtsov, Paul Prucnal

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


As reported by Information Week [1], the recent oil spill in the Gulf of Mexico saw another application of supercomputers running computational intensive signal processing algorithms to model natural phenomena (albeit this case originated in a man-made disaster). Nevertheless, the use of computational intensive signal processing algorithms permeates modern society on a daily basis (as, for example, in weather forecasting or the development of new drugs), making the development of faster and better supercomputers a matter of constant interest. In this article, we discuss a technique that promises to deliver these improvements: optical computing. Specifically, we discuss how neuromorphic engineering can inspire novel optical computing devices.

Original languageEnglish (US)
Article number5563105
Pages (from-to)160+157-158
JournalIEEE Signal Processing Magazine
Issue number6
StatePublished - Nov 2010

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics


Dive into the research topics of 'Lightwave neuromorphic signal processing'. Together they form a unique fingerprint.

Cite this