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Updated: Jun 12, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Mapping considerations for optimal binary correlation filters
Abstract:
The optimality of correlation filters is an important issue in applications of pattern recognition. We consider here both binary phase-only filters (BPOFs) and amplitude encoded binary phase-only filters (AE BPOFs) and study the results of optimizing the filters for a real world object (the Space Shuttle). We find that while only small improvements result from optimizing a BPOF, optimization of the AE BPOF is quite important in obtaining a useful correlation function. In the case of an AE BPOF, both signal-to-noise and peak-to-sidelobe measures must be studied. Computer simulation and experimental correlation results are presented.
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