Paper Type |
: |
Research Paper |
Title |
: |
Study of Very Low Frequency Signal by Independent Component
Analysis Observed Form DEMETER Satellite |
Country |
: |
India |
Authors |
: |
Shivali Verma, Deepak K Sondhiya , A. K. Gwal |
 |
: |
10.9790/4861-0252128  |
Abstract: Very low frequency signals (VLF) which are observed by DEMETER satellite is often corrupted by
atmospheric and manmade noise. These noises affect the quality of the VLF signal. So for quality improvement
denoising of VLF signal is must. The denoising methods which are used for VLF signal often consider noise
nature as Gaussian. But the nature of atmospheric and manmade noise is non-gaussian. Due to this fact
denoising methods which are considering noise nature as Gaussian is not effective for the denoising of VLF
signals. So in the present work we applied a statistical signal processing method for the denoising of noise
being non-Gaussian is known as the independent component analysis (ICA) in which signal and noise
considered to be independent and non-Gaussian.ICA based preprocesses boost the higher order correlation
(bispectrum).This study also shows improvement in the signal to noise ratio (SNR) and visualized the
suppressed frequency of VLF signals in the spectrogram.
Keywords: Denoise,Gaussian,Independent componemt analysis
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