Atrial fibrillatory signal estimation using blind source extraction algorithm based on high-order statistics

2008 ◽  
Vol 51 (10) ◽  
pp. 1572-1584 ◽  
Author(s):  
Gang Wang ◽  
NiNi Rao ◽  
Ying Zhang
Keyword(s):  
Order Statistics ◽  
High Order ◽  
Signal Estimation ◽  
Blind Source Extraction ◽  
Extraction Algorithm ◽  
High Order Statistics ◽  
Source Extraction

A Method for Extracting Signals with Specific Normalized Kurtosis Range

2013 ◽  
Vol 756-759 ◽  
pp. 3845-3848
Author(s):  
Yong Jian Zhao ◽  
Mei Xia Qu ◽  
Hai Ning Jiang
Keyword(s):  
A Priori ◽  
Signal Separation ◽  
Blind Signal Separation ◽  
Validity And Reliability ◽  
Original Source ◽  
Blind Source Extraction ◽  
Blind Signal ◽  
Extraction Algorithm ◽  
Fastica Algorithm ◽  
Source Extraction

The famous FastICA algorithm has been widely used for blind signal separation. For every process, it only converges to an original source which has the maximum negentropy of the underlying signals. To ensure the first output is the desired signal, we incorporate a priori knowledge as a constraint into the FastICA algorithm to construct a robust blind source extraction algorithm. One can extract the desired signal if its normalized kurtosis is known to lie in a specific range, whereas other unwanted signals do not belong to this range. Experimental results on biomedical signals illustrate the validity and reliability of the proposed method.

A Novel Audio Steganalysis Based on High-Order Statistics of a Distortion Measure with Hausdorff Distance

2008 ◽  
pp. 487-501 ◽  
Author(s):  
Yali Liu ◽  
Ken Chiang ◽  
Cherita Corbett ◽  
Rennie Archibald ◽  
Biswanath Mukherjee ◽  
...  
Keyword(s):  
Order Statistics ◽  
Hausdorff Distance ◽  
High Order ◽  
Distortion Measure ◽  
Audio Steganalysis ◽  
High Order Statistics
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