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

Analisis penerapan tapis Wiener pada segmentasi pola fluktuasi spektral

Analysis of the Wiener filters application to the spectral fluctuation patterns segmentation

Department of Electrical and Computer Engineering, Universitas Syiah Kuala. Jl. Tgk Syech Abdurrauf No.7, Darussalam, Banda Aceh 23111, Indonesia

Received: 18 Aug 2020; Revised: 20 Nov 2020; Accepted: 27 Nov 2020; Available online: 7 Dec 2020; Published: 31 Jan 2021.
Open Access Copyright (c) 2021 The Authors. Published by Department of Computer Engineering, Universitas Diponegoro
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to cite (IEEE): M. Melinda, E. Elizar, Y. Yunidar, and M. Irhamsyah, "Analisis penerapan tapis Wiener pada segmentasi pola fluktuasi spektral," Jurnal Teknologi dan Sistem Komputer, vol. 9, no. 1, pp. 22-30, Jan. 2021. https://doi.org/10.14710/jtsiskom.2020.13868
Citation Format:
Abstract
The Wiener filter is an adaptive filter which able to produce the desired estimates. Besides, this filter can also suppress noise in digital signal processing. This study aims to 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 High Fluctuation (HF) pattern by dividing the pattern into several segments according to the input frequency. It 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 Signal to Noise Ratio (SNR) value will also be analyzed, which shows that the signal quality is getting better after applying the Wiener filter. Then, the analysis of the Mean Square Error (MSE) results can provide more consistent results with a smaller average error.
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Keywords: multi-spectral; flutuation; noise; Wiener filter; adaptive filter
Funding: Universitas Syiah Kuala under contract No. 118/UN11.2.1/PT.01.03/PNBP/2020.

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Section: Original Research Articles
Language : ID
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