Share Email Print

Optical Engineering

Comparison of nonlinear joint transform correlator and nonlinearly transformed matched filter based correlator for noisy input scenes
Author(s): Bahram Javidi
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We compare the performance of the nonlinear joint transform correlator, the nonlinearly transformed filter based correlator, and the conventional linear correlator. The pattern recognition systems are compared in the areas of correlation peak, peak to sidelobe ratio, and correlation width. We show that for some noisy input scenes, the linear correlator produces an autocorrelation peak that is smaller than the maximum cross-correlation signal, resulting in false signal detection. On the other hand, compared to the linear correlator, both types of nonlinear correlators produce better correlation performance.

Paper Details

Date Published: 1 September 1990
PDF: 8 pages
Opt. Eng. 29(9) doi: 10.1117/12.55703
Published in: Optical Engineering Volume 29, Issue 9
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)

© SPIE. Terms of Use
Back to Top