8 September 2004 New wavelet-based method for optical data analysis
Author Affiliations +
Proceedings Volume 5576, Lightguides and their Applications II; (2004); doi: 10.1117/12.581874
Event: Lightguides and their Applications II, 2003, Krasnobrod, Poland
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 big amount of data in 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 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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Slawomir Przylucki, "New wavelet-based method for optical data analysis", Proc. SPIE 5576, Lightguides and their Applications II, (8 September 2004); doi: 10.1117/12.581874; https://doi.org/10.1117/12.581874

Feature selection

Data analysis

Discrete wavelet transforms

Feature extraction


Data processing

Optical testing

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