Analisis Penerapan Adaptive Hard Thresholding pada Denoising Sinyal Suara Jantung
| Main Author: | eka sari oktarina; Institut Bisnis dan Informatika Stikom Surabaya |
|---|---|
| Format: | Peer-reviewed Paper application/pdf Proceeding |
| Bahasa: | eng |
| Terbitan: |
SNTEKPAN
, 2017
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| Subjects: | |
| Online Access: |
http://conference.itats.ac.id/index.php/sntekpan/2017/paper/view/36 http://conference.itats.ac.id/index.php/sntekpan/2017/paper/download/36/22 |
Daftar Isi:
- Signal decomposition is a process for feature extraction of signal, and thresholding is one of the preprocessing process that must be performed before the decomposition process is performed. Manually thresholding was done in several studies. To give the optimal result, adaptive thresholding has been applied. Adaptive hard thresholding is applied in this study. Denoising process has been contaminated by the diastolic signal by Gaussian noise and White with a value of 5 dB, 10 dB and 15 dB. The type of Denoising method Used is Discreate Wavelet Transform, mother Daubechies orde 2 and orde 5, with decomposition level 10. SNR output of denoising carry out Gaussian Noise with DWT Daubechies orde 5 is 11.389, 15.592, 21.176. SNR output of denoising carry out White Noise with DWT Daubechies orde 5 is 10.061, 11.019, 16.176. SNR output of denoising carry out Gaussian Noise with DWT Daubechies orde 2 is 10.876, 14.248, 20.475. SNR output of denoising carry out White Noise with DWT Daubechies orde 2 is 6.233, 10.889, 15.266. Increasing in Signal to Noise Ratio (SNR) indicates that adaptive hard thresholding can reduce noise.