1 September 1990 Adaptive learning with joint transform correlators
Joseph Rosen, Uri Mahlab, Joseph Shamir
Author Affiliations +
Abstract
Iterative learning procedures can be employed to generate synthetic reference patterns for joint transform correlators. These patterns can be implemented directly on inexpensive spatial light modulators (SLMs) based on liquid crystal television sets. The algorithm takes into account random electronic noise in the system and compensates for SLM distortions. Experimental results demonstrate the advantages of the new approach with two algorithmic examples.
Joseph Rosen, Uri Mahlab, and Joseph Shamir "Adaptive learning with joint transform correlators," Optical Engineering 29(9), (1 September 1990). https://doi.org/10.1117/12.55704
Published: 1 September 1990
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Spatial light modulators

Optical correlators

Fourier transforms

Joint transforms

Binary data

Computer simulations

Spatial filters

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