DocumentCode
3533449
Title
Signal Denoising Based on EMD
Author
Huang Chengti ; Wang Houjun ; Long Bing
Author_Institution
Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear
2009
fDate
28-29 April 2009
Firstpage
1
Lastpage
4
Abstract
Although the empirical mode decomposition (EMD) is a new time-frequency analysis technique, it has a wide-ranging application in last decade. In this paper, we proposed a combined signal denoising method based on EMD and use the denoising method to recover the corrupted test signal. Three traditional denoising methods are combined with EMD to implement the signal denoising. The simulation validate the signal denoising method based on EMD is effective.
Keywords
Hilbert transforms; signal denoising; signal restoration; EMD; empirical mode decomposition; signal denoising; signal recovery; time-frequency analysis technique; Appropriate technology; Biomedical signal processing; Noise reduction; Signal analysis; Signal denoising; Signal design; Signal processing; Switches; Testing; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Testing and Diagnosis, 2009. ICTD 2009. IEEE Circuits and Systems International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-2587-7
Type
conf
DOI
10.1109/CAS-ICTD.2009.4960873
Filename
4960873
Link To Document