2026-09-20T05:16:42Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/405392022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Cardinal Warde.
Wise, Raydiance (Raydiance Raychele)
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2008-02-27T22:45:14Z
2008-02-27T22:45:14Z
2007
2007
http://hdl.handle.net/1721.1/40539
192002497
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (leaves 76-79).
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.
by Raydiance Wise.
S.M.
79 leaves
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Optoelectronic implementations of Pulse-Coupled Neural Networks : challenges and limitations
Optoelectronic implementations of PCNNs
Thesis
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