Performance of Elliptic Filter on Multi-Spectral Signal Based on Divided Zone

• Published in: 2022 International Conference on Electrical Engineering and Informatics (ICELTICs) pp. 178 - 183
• Main Authors: Syahrial, Syahrial, Melinda, Melinda, Irhamsyah, Muhammad, Sheiba, Thalia
• Format: Conference Proceeding
• Language: English
• Published: IEEE 27.09.2022
• Subjects: divided zone; Electrical engineering; elliptic filter; Filtering; Fluctuations; Informatics; Low-pass filters; multispectral; Programming; Water
• DOI: 10.1109/ICELTICs56128.2022.9932079

A multispectral signal fluctuation pattern is a signal pattern with fluctuations numbering more than one wave or frequency. This paper uses the HHF (High-High Fluctuation) matrix pattern of the chemicals H2O and H2O mixed with HCl, which was obtained through Capacitive Multispectral Mechanism acquisition on the previously mentioned substances. It is known that the resulting data is very large, thus needing a method to enhance or read the special characteristics of the fluctuation pattern produced. The method used in this paper is called the Divided Zone, which will divide the HHF matrix data into two parts and divide each into two more parts, giving six parts. Every part that has been divided will be called zones. After, the result of the method will be divided into two parts. The first will be used as a comparison, and the second will be applied low-pass elliptical filtering, which will be done using Python programming. The comparison observed that the highest amplitude point from every zone differs between the first and the second method. Where the first method has multiple highest amplitude points, the second has only one. And the highest amplitude point from the original data is more than either. This paper succeeds in seeing the characteristics of the original data using the methods used.