Text extraction in video image based on wavelet modulus maximum

Author(s):  
Xueyan Li ◽  
Shuxu Guo ◽  
Fengli Gao
2011 ◽  
Vol 130-134 ◽  
pp. 2160-2165
Author(s):  
Hua Qiang ◽  
Rui Yang ◽  
Guo Dong Zhang

In this paper, in accordance with several common signal interference in sleep EEG detection, it is processed by wavelet transform. It mainly includes: ①.remove white noise from EEG using wavelet threshold method; ②.remove baseline drift from EEG using wavelet decomposition and reconstruction method; ③.remove sharp pulse interference using wavelet modulus maximum algorithm; ④.remove EMG from EEG using wavelet decomposition and reconstruction as well as modulus maximum method. The results of simulation study show that: it can filter a variety of common interference in EEG detection preferably by wavelet transform.


Author(s):  
S.Nithya dhevi ◽  
◽  
R Venkatesan ◽  
B Mahendran ◽  
M.Mohamed Nijasudeen
Keyword(s):  

2009 ◽  
Vol 29 (1) ◽  
pp. 57-59
Author(s):  
Wei DAI ◽  
Shen-sheng ZHANG

Sign in / Sign up

Export Citation Format

Share Document