DOI: https://doi.org/10.14710/jtsiskom.2020.13868

Analisis Penerapan Filter Wiener pada Segmentasi Pola Fluktruasi Spektral

Analysis of the Wiener Filters Application to the Spectral Fluctuation Patterns Segmentation

*Melinda Melinda scopus  -  Universitas Syiah Kuala, Indonesia
Elizar Elizar  -  Universitas Syiah Kuala, Indonesia
Yunidar Yunidar  -  Universitas Syiah Kuala, Indonesia
Muhammad Irhamsyah  -  Universitas Syiah Kuala, Indonesia
Received: 18 Aug 2020; Revised: 20 Nov 2020; Accepted: 27 Nov 2020; Published: 31 Jan 2021; Available online: 7 Dec 2020.
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Abstract
The Wiener filter is an adaptive filter that can be used to produce the desired estimates. Besides, this filter can also suppress noise in digital signal processing. In this study, we will segment the fluctuation pattern, which results from data acquisition from a capacitive sensor with the object H2O. The fluctuation pattern to be processed is the HF (High Fluctuation) fluctuation pattern by dividing the pattern into several segments according to the input frequency. This aims to see in more detail and clearly the state of each segmentation of the pattern. The results will show noise attenuation and suppression after filtering with a Wiener filter. The SNR (Signal to Noise Ratio) value will also be analyzed, which shows that the signal quality is getting better after applying the Wiener filter. Then, the analysis of the MSE (Mean Square Error) results can provide more consistent results with a smaller average error.
Keywords: Multi-Spectral; Flutuation; Noise; Wiener Filter
Funding: Universitas Syiah Kuala under contract No. 118/UN11.2.1/PT.01.03/PNBP/2020.

Article Metrics:

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Last update: 2021-03-07 11:18:21

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