Optoelectronic implementations of Pulse-Coupled Neural Networks : challenges and limitations
Name
192002497-MIT.pdf
Description
Full printable version
Size
8.48 MB
Format
Adobe PDF
Checksum (MD5)
2aadfdc75d088e54ac901bf21e2c194b
Author(s)
Wise, Raydiance (Raydiance Raychele)
Advisor(s)
Cardinal Warde.
Alternative Title
Optoelectronic implementations of PCNNs
Date Issued
2007
Publisher
Massachusetts Institute of Technology
Abstract
This thesis examines Pulse Coupled Neural Networks (PCNNs) and their applications, and the feasibility of a compact, rugged, cost-efficient optoelectronic implementation. Simulation results are presented. Proposed optical architectures are discussed and analyzed. A new optoelectronic PCNN architecture is also presented. Tradeoffs of optical versus electronic implementations of PCNNs are discussed. This work combines concepts from optical information processing and pulse-coupled neural networks to examine the challenges, limitations, and opportunities of developing an optoelectronic pulse coupled neural network. The analysis finds that, despite advances in optoelectronic technology, fully electronic implementations will still outperform today's proposed optoelectronic implementations in cost, size, flexibility, and ease of implementation.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (leaves 76-79).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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