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
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;
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
DOI :
10.1109/CAS-ICTD.2009.4960873
