Research on the De-noising Algorithm

被引：0

作者：

Shi Xiao-xia ^{[1
]}

Li Jun-zhi ^{[2
]}

机构：

[1] Beijing Univ Civil Engn & Architecture, Automat Dept, Beijing 100044, Peoples R China

[2] Beijing Digital China SI TECH Informat Technol, Acad, Beijing 100085, Peoples R China

来源：

PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年

关键词：

time series; de-noising; signal processing; event; Fourier transform;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Signal processing is the most popular method for time series de-noising. But with this method, valued information with high frequency but high swing is also thrown away. This is because signal processing method just takes frequency into consideration. Furthermore, the selection of a filter and its input arguments is also difficult. To avoid the above shortages of signal processing method, de-noising algorithm based on an event is proposed. The algorithm utilizes curve features as extremum, slope and curvature to achieve de-noising. Advantages of the method are illustrated by the comparison between de-noising method based on Fourier transform and the new method through principle research and experimentations.

引用

页码：3679 / +

页数：2

共 50 条

[21] The Research on the De-Noising Method for Signals Based On CEEMD
Huang, Wei
Xu, Wei-chang
Wu, Ya-ke
Hao, Hong-li
PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2016), 2016, 50 : 711 - 714
[22] Improved image de-noising algorithm based on the direction of diffusion
Fan, Linan
Li, Qiang
He, Youguo
Wang, Feng
SEVENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2015), 2015, 9631
[23] ECG signal De-noising with Asynchronous Averaging and Filtering Algorithm
Gautam, Alka
Lee, Hoon-Jae
Chung, Wan-Young
INTERNATIONAL JOURNAL OF HEALTHCARE INFORMATION SYSTEMS AND INFORMATICS, 2010, 5 (02) : 30 - 36
[24] New spatial based MRI image de-noising algorithm
M. A. Balafar
Artificial Intelligence Review, 2013, 39 : 225 - 235
[25] An Improved Spin Echo Train De-noising Algorithm in NMRL
Liu, Feng
Ma, Shuangbao
JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2018, 14 (04): : 941 - 947
[26] Mixed Noise Image De-noising Based on EM Algorithm
Shi Guicun
Wang Feixing
MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 4734 - 4741
[27] Improved algorithm for threshold de-noising in wavelet transform domain
College of Information Science and Engineering, YanShan University, Qinhuangdao Hebei 066004
Chin. J. Sens. Actuators, 2006, 2 (534-536+540):
[28] Optimized Signal De-noising Algorithm for Acoustic Emission Leakage
Wang Xin-Hua
Yang Jie
Jiao Yu-Lin
Niu Yong-Chao
IAEDS15: INTERNATIONAL CONFERENCE IN APPLIED ENGINEERING AND MANAGEMENT, 2015, 46 : 1009 - 1014
[29] Signal De-Noising Based on Improved Matching Pursuit Algorithm
Li, Lina
Zeng, Qingxun
Gan, Xiaoye
Ma, Jun
FUZZY SYSTEMS, KNOWLEDGE DISCOVERY AND NATURAL COMPUTATION SYMPOSIUM (FSKDNC 2013), 2013, : 507 - 516
[30] Cascading De-noising Algorithm for Improving GPS Positional Accuracy
Mahesh, Ch.
Reddy, R. Pavan Kumar
Ravindra, K.
Prasad, V. Kamakshi
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION TECHNOLOGIES, IC3T 2015, VOL 1, 2016, 379 : 691 - 701

← 1 2 3 4 5 →