The Use of Wavelet Transformation in Conjunction with a Heuristic Algorithm as a Tool for Feature Extraction from Signals

Authors

  • Dawid Połap Institute of Mathematics, Silesian University of Technology
  • Marcin Woźniak Institute of Mathematics, Silesian University of Technology

DOI:

https://doi.org/10.5755/j01.itc.46.3.17582

Keywords:

Neural networks, voice recognition, wavelet transformation, heuristic algorithm, feature extraction, image processing

Abstract

The use of algorithms is helpful in analysis of various data samples. Examples of these applications are sound and graphics processing that are used in authentication and analysis of images. In this work, we propose technique of extracting data from image file created based on voice sample. Proposed method makes use of mathematical model of wavelet transformation and it’s graphical visualization like scaleogram combined with computational intelligence methods like neural network and heuristic algorithm. In order to verify operation of proposed technique we present experimental results.

DOI: http://dx.doi.org/10.5755/j01.itc.46.3.17582

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Published

2017-09-07

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Section

Articles