International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




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Research Paper | Geophysics | India | Volume 5 Issue 2, February 2016


VLF Waves Characterization: Wavelet Feature Extraction Method

Shivali Verma [2] | Harsha Jalori | A. K. Gwal [2]


Abstract: In an effort to provide a more efficient representation of the very low frequency (VLF) signal, the application of the wavelet analysis is considered. This research presents an effective and robust method for extracting features for VLF processing. Based on the timefrequency multiresolution property of wavelet transform, the input VLF signal is decomposed into various frequency channels. The major issues concerning the design of this Wavelet based VLF recognition system are choosing optimal wavelets for VLF signals, decomposition level in the multilevel 1-D wavelet decomposition, selecting the feature vectors from the wavelet coefficients. More specifically classification of various VLF signals using the Wavelet decomposition is described. By this effort we find the different features for the various VLF signal


Keywords: Feature extraction, Hiss, Very low frequency, Wavelet transforms, Whistler


Edition: Volume 5 Issue 2, February 2016,


Pages: 1892 - 1897


How to Cite this Article?

Shivali Verma, Harsha Jalori, A. K. Gwal, "VLF Waves Characterization: Wavelet Feature Extraction Method", International Journal of Science and Research (IJSR), Volume 5 Issue 2, February 2016, pp. 1892-1897, https://www.ijsr.net/get_abstract.php?paper_id=NOV161115

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