DocumentCode :
2494587
Title :
A Comparison Study on Gabor, Chirplet, FMm let Atom Databases for ECG Signal Processing
Author :
Meng, QingJie ; Sun, Nongliang
Author_Institution :
Coll. of Inf. & Electr. Eng. Sch., Shandong Univ. of Sci. & Technol., Qingdao, China
fYear :
2009
fDate :
11-13 June 2009
Firstpage :
1
Lastpage :
3
Abstract :
This paper introduces the basic characteristics of Gabor, Chirplet, FMm let three time-frequency atom databases and the basic principle of the algorithm in signal processing. FMm let is the important tool of treating linear and nonlinear frequency shear signals, and FMm let atom database first applies into ECG signal processing. We compared with the three effect of signal processing based on three time-frequency atom databases; the results indicate that FMm let is better than others, especially in the details processing.
Keywords :
database management systems; electrocardiography; medical signal processing; time-frequency analysis; Chirplet; ECG signal processing; FMm let; Gabor; linear frequency shear signal; matching pursuit sparse decomposition; nonlinear frequency shear signal; time-frequency atom database; Chirp; Databases; Educational institutions; Electrocardiography; Matching pursuit algorithms; Paper technology; Pursuit algorithms; Signal processing; Signal processing algorithms; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
Type :
conf
DOI :
10.1109/ICBBE.2009.5162158
Filename :
5162158
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=2494587
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