DocumentCode
567938
Title
A new method of pulse singularity detection
Author
Zhang, Bo ; Su, Yong-li ; Xu, Yong-feng
Author_Institution
Dept. of Math., Northwest Univ., Xi´´an, China
fYear
2012
fDate
15-17 July 2012
Firstpage
266
Lastpage
268
Abstract
Based on the characteristics of the pulse singularity signals, a new method for detecting the pulse singularity signals is proposed using the Bernoulli probability to describe singularity points. The proposed method converts the detection problem to a parameter estimation problem and solves it using a maximum likelihood method. The experimental results show that the proposed method identifies pulse singularity from signals successfully and effectively.
Keywords
maximum likelihood estimation; probability; signal detection; Bernoulli probability; maximum likelihood method; parameter estimation problem; pulse singularity detection; pulse singularity signals; Maximum likelihood detection; Maximum likelihood estimation; Parameter estimation; Pattern recognition; Wavelet analysis; Wavelet transforms; Bernoulli probability; maximum likelihood estimate; pulse singularity;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
Conference_Location
Xian
ISSN
2158-5695
Print_ISBN
978-1-4673-1534-0
Type
conf
DOI
10.1109/ICWAPR.2012.6294790
Filename
6294790
Link To Document