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Publication: IIP Proceedings Year: 2022, Month: November Page No: 107-125, ISSN/ISBN: 978-93-95632-68-3, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl2023738315B56616EDB.pdf
THE NOISE REDUCTION AND COMPRESSION OF VERY LOW FREQUENCY (VLF) TRANSIENTS USING WAVELET BASED TECHNIQUES
Area/Stream: Physical Sciences, Authors: Dr. D. K. Sondhiya, Dr. Preeti Singh, Dr. S. K. Kasde Keywords: VLF signal, Wavelet Transform, wavelet thresholding, Filter bank Book Name /series: Futuristic Trends in Physical Sciences, Volume 2, Book 14, Part 2, Chapter 2Publication: IIP Proceedings Year: 2022, Month: November Page No: 107-125, ISSN/ISBN: 978-93-95632-68-3, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl2023738315B56616EDB.pdf
Abstract:
Noises in the signal were generated due to various natural and manmade causes like excess use of heavy machines, spacecraft and lighting and sometimes due to volcanic eruption and earthquakes. These noises degrade the quality of observed signals and responsible for the loss of information. To retrieve the information from these noisy signals various methods based on Linear Band Pass Filter (BPF) were used, but efficiency of BPF was compromised when dealing with Non-Gaussian like natural Very Low Frequency (VLF) signals. Here, we have used wavelet thresholding based denoising method for denoising of the VLF signal. It was found that wavelet the thresholding method denoise the signal without affecting it original shape.
Cite this: Dr. D. K. Sondhiya, Dr. Preeti Singh, Dr. S. K. Kasde,"THE NOISE REDUCTION AND COMPRESSION OF VERY LOW FREQUENCY (VLF) TRANSIENTS USING WAVELET BASED TECHNIQUES", Futuristic Trends in Physical Sciences, Volume 2, Book 14, Part 2, Chapter 2, November, 2022, 107-125, 978-93-95632-68-3, https://www.rsquarel.org/assets/docupload/rsl2023738315B56616EDB.pdf
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