ECG SIGNAL EXTRACTION AS A VIABLE POOL OF EXAMPLES FOR QUICK REFERENCE IN A CLASS-ROOM DEMONSTRATION OF A SIGNAL PROCESSING COURSE

2014 ◽  
Vol 1 (2) ◽  
pp. 10-19
Author(s):  
Tariq Mahmood ◽  
◽  
Mohammad Khan ◽  
Rehmat Kundi
Keyword(s):  
Signal Processing ◽  
Signal Extraction ◽  
Ecg Signal ◽  
Class Room

scholarly journals Reducing of noise structure influence on an accuracy of a desired signal extraction

2018 ◽  
Vol 15 (3) ◽  
pp. 365-370 ◽  
Author(s):  
Vladimir Marchuk
Keyword(s):  
Signal Processing ◽  
Mathematical Expectation ◽  
Random Processes ◽  
Parameters Estimation ◽  
Signal Extraction ◽  
Scientific Contribution ◽  
Noise Component ◽  
Component Structure ◽  
Noise Structure ◽  
Theoretical Results

In the paper, the issues regarding the analysis of the noise component structure are addressed and methods for reducing the error in estimating of the mathematical expectation of the noise component are proposed. The use of the proposed method of ?noise purification? makes possibility to reduce the error introduced by the noise structure when estimating the mathematical expectation and dispersion of the noise component during research. The main scientific contribution in this paper in accuracy increasing of random processes parameters estimation. These theoretical results can be applied in different spheres of data analyzing and signal processing when random processes have some structure.

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