Multidimensional data preprocessing for optical sensors

Slawomir Przylucki; Waldemar Wojcik; Andrzej Kotyra; Tomasz Golec

doi:10.1117/12.517134

22 September 2003 Multidimensional data preprocessing for optical sensors

Slawomir Przylucki, Waldemar Wojcik, Andrzej Kotyra, Tomasz Golec

Proceedings Volume 5124, Optoelectronic and Electronic Sensors V; (2003) https://doi.org/10.1117/12.517134
Event: Optoelectronic and Electronic Sensors V, 2002, Rzeszow, Poland

Abstract

In the article we present the idea of the data preprocessing in the optoelectronic measurement system for monitoring the industrial gas pollutants. A single optical measurement path can carry a big amount of data in an entirely parallel manner (e.g. spectral response of light in an absorbing media). To meet the requirements coming from optical system properties, the new algorithm called Local Discriminant Basis with Feature Selection - LDBFS is proposed. It's based on discrete wavelet transform and multidimensional data decomposition techniques. In order to assess the performance of the proposed method, the article presents the simulation results of data analysis of gas spectral absorption.

Citation Download Citation

Slawomir Przylucki, Waldemar Wojcik, Andrzej Kotyra, and Tomasz Golec "Multidimensional data preprocessing for optical sensors", Proc. SPIE 5124, Optoelectronic and Electronic Sensors V, (22 September 2003); https://doi.org/10.1117/12.517134

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