DocumentCode :
1796441
Title :
Signal processing with optically-inspired algorithms
Author :
Csaba, Gyorgy ; Papp, Adam ; Porod, Wolfgang
Author_Institution :
Center for Nano Sci. & Technol., Univ. of Notre Dame (NDnano), Notre Dame, IN, USA
fYear :
2014
fDate :
29-31 July 2014
Firstpage :
1
Lastpage :
2
Abstract :
We introduce holographic (optically inspired) algorithms, which are suited for implementation on massively parallel, locally interconnected arrays of nanoscale devices. This computing method is inspired by optical signal processing, but it neither relies on optical wave propagation nor optical hardware. We describe implementations on digital semiconductor circuitry and on magnetoelectronic devices.
Keywords :
holography; magnetoelectronics; optical computing; digital semiconductor circuitry; holographic algorithms; interconnected arrays; magnetoelectronic devices; nanoscale devices; optical signal processing; optically-inspired algorithms; Holographic optical components; Holography; Image reconstruction; Nonlinear optics; Optical signal processing; Pattern matching; Signal processing algorithms; Cellular Networks; Nanocomputing; Non-Boolean Computing; Optical computing; Pattern recognition; Spin waves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
Conference_Location :
Notre Dame, IN
Type :
conf
DOI :
10.1109/CNNA.2014.6888663
Filename :
6888663
Link To Document :
بازگشت