Proceedings ArticleDOI
Optical Finite Element Processor
David P. Casasent,Bradley K. Taylor +1 more
- Vol. 0564, pp 139-149
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TLDR
A new high-accuracy optical linear algebra processor (OLAP) with many advantageous features is described, which achieves floating point accuracy, handles bipolar data by sign-magnitude representation, performs LU decomposition using only one channel, easily partitions and considers data flow.Abstract:
A new high-accuracy optical linear algebra processor (OLAP) with many advantageous features is described. It achieves floating point accuracy, handles bipolar data by sign-magnitude representation, performs LU decomposition using only one channel, easily partitions and considers data flow. A new application (finite element (FE) structural analysis) for OLAPs is introduced and the results of a case study presented. Error sources in encoded OLAPs are addressed for the first time. Their modeling and simulation are discussed and quantitative data are presented. Dominant error sources and the effects of composite error sources are analyzed.read more
Citations
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Proceedings ArticleDOI
Optical Linear Algebra Processors: Architectures and Algorithms
TL;DR: A generic optical linear algebra processor architecture is described with attention to components and unique optical features.
Proceedings ArticleDOI
Optical laboratory solution and error model simulation of a linear time-varying finite element equation
TL;DR: The use of simplified error models to accurately simulate and evaluate the performance of an optical linear algebra processor and the laboratory hardware and AC-modulation technique used are presented.
Proceedings ArticleDOI
Optical Kalamn filtering for missile guidance
TL;DR: A new application (Kalman filtering) for such architectures is investigated: all required operations are detailed, their realization by optical and special-purpose analog electronics are specified; and the processing time of the system is quantified.
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