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Detection Using Correlation Bound and its Application to Raman Spectroscopy

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4 Author(s)
Wei Wang ; University of Maryland Baltimore County Department of CSEE 1000 Hilltop Circle, Baltimore, MD 21250 ; T. Adali ; Hualiang Li ; D. Emge

A detection approach, detection with correlation bound (DCB), is introduced based on a linear mixture model. We use the upper bound of the correlation between the target and mixing components as the detection index, and derive the expression for this correlation bound using the observed data. The proposed method is more robust and provides better detection performance than the currently used supervised and unsupervised approaches in Raman spectroscopy. We also apply the correlation bound to independent component analysis (ICA) within the framework of constrained ICA (c-ICA), and show how it can help improve the detection performance of ICA. Simulation results are presented to demonstrate the effectiveness of the proposed method in Raman spectroscopy for detection of surface-deposited chemical agents

Published in:

2005 IEEE Workshop on Machine Learning for Signal Processing

Date of Conference:

28-28 Sept. 2005