Comparison of three feature extraction techniques to distinguish between different infrasound signals
2007 (English)In: Progress in Pattern Recognition / [ed] Singh S; Singh M, 2007, 75-82 p.Conference paper (Refereed)
The main aim of this paper is to compare three feature extraction techniques, Discrete Wavelet Transform, Time Scale Spectrum using Continuous Wavelet Transforms, and Cepstral Coefficients and their derivatives, for the purposes of classifying time series type ;signal data. The features are classified by two types of neural networks. The paper draws a number of important conclusions on the suitability of these features for analysis, and provides a good comparative evaluation on four different data sets.
Place, publisher, year, edition, pages
2007. 75-82 p.
, Advances in pattern recognition (series), ISSN 1617-7916
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-14100DOI: 10.1007/978-1-84628-945-3_8ISI: 000250406000008ISBN: 978-1-84628-944-6OAI: oai:DiVA.org:kth-14100DiVA: diva2:329736
International Workshop on Advances in Pattern Recognition,Loughborough Univ, Loughborough, ENGLAND, 2007