TY - JOUR
T1 - Lightwave neuromorphic signal processing
AU - Fok, Mable
AU - Rosenbluth, David
AU - Kravtsov, Konstantin
AU - Prucnal, Paul
N1 - Funding Information:
This work is also contributed to by Hannah Deming, Mitchell Nahmias, Nicole Rafidi, Alexander Tait, and Yue Tian from Princeton University. The authors gratefully acknowledge the gen erous support of the Lockheed Martin Advanced Technology Laboratory through their IRAD program, as well as the Lockheed Martin Corporation through their Corporate University Research Program. The authors also acknowledge the support of NSF MIRTHE Center at Princeton University.
PY - 2010/11
Y1 - 2010/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84930904288&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84930904288&partnerID=8YFLogxK
U2 - 10.1109/MSP.2010.938098
DO - 10.1109/MSP.2010.938098
M3 - Article
AN - SCOPUS:84930904288
SN - 1053-5888
VL - 27
SP - 160+157-158
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
IS - 6
M1 - 5563105
ER -