A study on optimal pattern recognition filters implementable on spatial light modulators with annular response regions

Author

Muttiah, F.S. ; Rajan, P.K.

Author_Institution

Dept. of Electr. Eng., Tennessee Technol. Univ., Cookeville, TN, USA

fYear

1994

fDate

20-22 Mar 1994

Firstpage

480

Lastpage

484

Abstract

Studies on optical pattern recognition filters concern the use of spatial light modulators (SLMs) having unconstrained response regions or infinite contrast ratios. In this paper, constrained optimal saturated filters (SFs) are designed to accommodate two dimensional SLMs having annular response regions with finite contrast ratios. The signal-to-noise ratio (SNR) is used as the performance criterion in evaluating the performance of these filters. A further study is made on optimal saturated filters (OSFs) with multiple response regions and suboptimal saturated filters (sub-OSFs). Simulation results are also given

Keywords

filtering and prediction theory; pattern recognition; spatial filters; spatial light modulators; annular response regions; constrained optimal saturated filters; infinite contrast ratios; optical pattern recognition filters; optimal pattern recognition filters; signal-to-noise ratio; spatial light modulators; suboptimal saturated filters; unconstrained response regions; Filtering theory; Missiles; Optical filters; Optical modulation; Optical saturation; Optical signal processing; Pattern recognition; Real time systems; Signal to noise ratio; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1994., Proceedings of the 26th Southeastern Symposium on

Conference_Location

Athens, OH

ISSN

0094-2898

Print_ISBN

0-8186-5320-5

Type

conf

DOI

10.1109/SSST.1994.287829

Filename

287829