scholarly journals Suppression of noise and late reverberation based on blind signal extraction and Wiener filtering

2015 ◽  
Vol 36 (4) ◽  
pp. 302-313 ◽  
Author(s):  
Fine D. Aprilyanti ◽  
Jani Even ◽  
Hiroshi Saruwatari ◽  
Kiyohiro Shikano ◽  
Satoshi Nakamura ◽  
...  
Keyword(s):  
Signal Extraction ◽  
Wiener Filtering ◽  
Blind Signal ◽  
Blind Signal Extraction

Research on Blind Signal Extraction Based on Normalized Kurtosis

2014 ◽  
Vol 989-994 ◽  
pp. 3609-3612
Author(s):  
Yong Jian Zhao
Keyword(s):  
Biomedical Applications ◽  
Prior Information ◽  
Signal Extraction ◽  
Promising Technique ◽  
Blind Source Extraction ◽  
Blind Signal ◽  
Source Signal ◽  
Blind Signal Extraction ◽  
Source Signals ◽  
Source Extraction

Blind source extraction (BSE) is a promising technique to solve signal mixture problems while only one or a few source signals are desired. In biomedical applications, one often knows certain prior information about a desired source signal in advance. In this paper, we explore specific prior information as a constrained condition so as to develop a flexible BSE algorithm. One can extract a desired source signal while its normalized kurtosis range is known in advance. Computer simulations on biomedical signals confirm the validity of the proposed algorithm.

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