Performance of quantized composite filters in a joint transform correlator

Chun Te Li; Mingzhe Lu; Shizhuo Yin; Francis T.S. Yu; Tracy D. Hudson; Deanna K. McMillen

doi:10.1117/1.600829

Performance of quantized composite filters in a joint transform correlator

Chun Te Li, Mingzhe Lu, Shizhuo Yin, Francis T.S. Yu, Tracy D. Hudson, Deanna K. McMillen

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

The use of a simulated annealing algorithm to design quantized composite reference function (QCRF) filters is presented. Since the QCRF filters are spatial domain filters using finite quantization levels, they can be implemented at the output spatial light modulator of a joint transform correlator. The performance of the QCRF filters has been tested, in which we have shown that the detectability, accuracy, discriminability, and reliability improve as the quantization of the filter increases.

Original language	English (US)
Pages (from-to)	2218-2226
Number of pages	9
Journal	Optical Engineering
Volume	35
Issue number	8
DOIs	https://doi.org/10.1117/1.600829
State	Published - Jan 1 1996

All Science Journal Classification (ASJC) codes

Atomic and Molecular Physics, and Optics
General Engineering

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10.1117/1.600829

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abstract = "The use of a simulated annealing algorithm to design quantized composite reference function (QCRF) filters is presented. Since the QCRF filters are spatial domain filters using finite quantization levels, they can be implemented at the output spatial light modulator of a joint transform correlator. The performance of the QCRF filters has been tested, in which we have shown that the detectability, accuracy, discriminability, and reliability improve as the quantization of the filter increases.",

author = "Li, {Chun Te} and Mingzhe Lu and Shizhuo Yin and Yu, {Francis T.S.} and Hudson, {Tracy D.} and McMillen, {Deanna K.}",

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AU - Li, Chun Te

AU - Lu, Mingzhe

AU - Yin, Shizhuo

AU - Yu, Francis T.S.

AU - Hudson, Tracy D.

AU - McMillen, Deanna K.

PY - 1996/1/1

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N2 - The use of a simulated annealing algorithm to design quantized composite reference function (QCRF) filters is presented. Since the QCRF filters are spatial domain filters using finite quantization levels, they can be implemented at the output spatial light modulator of a joint transform correlator. The performance of the QCRF filters has been tested, in which we have shown that the detectability, accuracy, discriminability, and reliability improve as the quantization of the filter increases.

AB - The use of a simulated annealing algorithm to design quantized composite reference function (QCRF) filters is presented. Since the QCRF filters are spatial domain filters using finite quantization levels, they can be implemented at the output spatial light modulator of a joint transform correlator. The performance of the QCRF filters has been tested, in which we have shown that the detectability, accuracy, discriminability, and reliability improve as the quantization of the filter increases.

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JO - Optical Engineering

JF - Optical Engineering

IS - 8

ER -

Performance of quantized composite filters in a joint transform correlator

Abstract

All Science Journal Classification (ASJC) codes

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