Analysis of the Wiener filters application to the spectral fluctuation patterns segmentation
Open Access
- 27 November 2020
- journal article
- Published by Institute of Research and Community Services Diponegoro University (LPPM UNDIP) in Jurnal Teknologi dan Sistem Komputer
- Vol. 9 (1), 22-30
- https://doi.org/10.14710/jtsiskom.2020.13868
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.Keywords
This publication has 11 references indexed in Scilit:
- Performance of consistency parameters analysis using fourier and wavelet transform on multi spectral fluctuation signalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Grouped data analysis of H2O and H2O mixed with NaOH on multi spectral high fluctuation patternPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- The Influence of Wideband Amplifier Supply on the Consistency Level of Multi-Spectral Fluctuation PatternAdvanced Science Letters, 2017
- Analysis of consistence level using new method of statistical transformation approach in multi-spectral fluctuation patternPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Application of Wavelet and Wiener Filtering Algorithm in Image De-NoisingOALib, 2016
- Performance of Wiener Filter and Adaptive Filter for Noise Cancellation in Real-Time EnvironmentInternational Journal of Computer Applications, 2014
- Speech enhancement based on combination of wiener filter and subspace filterPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Robust adaptive Wiener filteringPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Unsteady Turbulent Simulation and Pressure Fluctuation Analysis for Centrifugal PumpsChinese Journal of Mechanical Engineering, 2009
- New insights into the noise reduction Wiener filterIEEE Transactions on Audio, Speech, and Language Processing, 2006