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Proceedings Paper

Real-valued composite filters for optical pattern recognition
Author(s): Anushia Balendra; P. Karivaratha Rajan
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Paper Abstract

The design of real-valued composite filters for optical pattern recognition and classification is considered. A procedure to design a real-valued minimum average correlation energy (MACE) filter is developed. Also, the design of a real MVSDF-MACE filter that minimizes the output variance due to input noise while maintaining a sharp correlation peak is developed. Computer simulation indicates that the performance of these real filters is almost as good as that of the complex filters.

Paper Details

Date Published: 12 January 1993
PDF: 8 pages
Proc. SPIE 1772, Optical Information Processing Systems and Architectures IV, (12 January 1993); doi: 10.1117/12.140928
Show Author Affiliations
Anushia Balendra, Tennessee Technological Univ. (United States)
P. Karivaratha Rajan, Tennessee Technological Univ. (United States)


Published in SPIE Proceedings Vol. 1772:
Optical Information Processing Systems and Architectures IV
Bahram Javidi, Editor(s)

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