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, FM^m let three time-frequency atom databases and the basic principle of the algorithm in signal processing. FM^m let is the important tool of treating linear and nonlinear frequency shear signals, and FM^m 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 FM^m 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; FM^m 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