Selection of scales for continuous wavelet transform for improving patterns detectability
Main Article Content
Abstract
The task of scales selection for continuous wavelet transform is analyzed in brief. The technique of computation the minimal and maximal required scales for better pattern localization in a signal is proposed. The proposed technique is employed for time localization of epileptiform patterns in the electroencephalogram
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
I. Daubechies, Society for Industrial and Applied Mathematics, 1992. DOI:10.1137/1.9781611970104
S. Mallat, “Wavelet zoom”, in A Wavelet Tour of Signal Processing, Elsevier, 1999, pp. 163–219. DOI:10.1016/B978-012466606-1/50008-8
A. Popov, M. Zhukov, R. S. Romaniuk, and K. S. Kulpa, “Computation of continuous wavelet transform of discrete signals with adapted mother functions”, in Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, Wilga, Poland, 2009, p. 75021E. DOI:10.1117/12.837436
A. Popov, “Constructing mother wavelet functions by eigenvectors method”, Electronics and communications, no. 2, pp. 54–58, 2006.
A. Popov and M. Zhukov, “Continuous Wavelet Transform of Discrete Signals without Integration”, Electronics and communications, no. 4-5, pp. 151–155, 2009.