Review and comparison of smoothing algorithms for one-dimensional data noise reduction

The paper considers the choice of parameters of smoothing algorithms for data denoising. The impact of the window size on smoothing accuracy was analyzed. The parameters of denoising filters were selected with respect to the mean-square error between the computed linear regression and the noisy sign...

Full description

Saved in:

Bibliographic Details
Published in:	2018 International Interdisciplinary PhD Workshop (IIPhDW) pp. 277 - 281
Main Authors:	Kowalski, Pawel, Smyk, Robert
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2018
Subjects:	denoising filters Gaussian filter Kalman filter Kalman filters Kernel kernel smoothing least-square mean filter median filter Microsoft Windows Noise reduction Savitzky-Golay signal processing Signal processing algorithms smoothing smoothing algorithms Smoothing methods
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!