Switching Noise Reduction of Synchronous DC-DC Buck Converter Based on Smart Power Stages by Minimizing Parasitic Inductances

2021 ◽  
Author(s):  
Lingling Zhao ◽  
Min Sun ◽  
Fei Xu ◽  
Qi Huang ◽  
Siming Pan
Keyword(s):  
Noise Reduction ◽  
Buck Converter ◽  
Switching Noise ◽  
Smart Power

Adaptive Fuzzy Switching Noise Reduction Filter for Iris Pattern Recognition

2015 ◽  
Vol 73 (1) ◽  
Author(s):  
Arezou Banitalebi Dehkordi ◽  
Syed Abdul Rahman Abu-Bakar
Keyword(s):  
Pattern Recognition ◽  
Noise Reduction ◽  
Iris Recognition ◽  
Median Filter ◽  
Low Complexity ◽  
Light Illumination ◽  
Switching Noise ◽  
Adaptive Fuzzy ◽  
Filling Method ◽  
Iris Pattern Recognition

Noise reduction is a necessary procedure for the iris recognition systems. This paper proposes an adaptive fuzzy switching noise reduction (AFSNR) filter to reduce noise for iris pattern recognition. The proposed low complexity AFSNR filter removes noise pixels by fuzzy switching between an adaptive median filter and the filling method. The threshold values of AFSNR filter are calculated on the basis of the histogram statistics of eyelashes, pupils, eyelids, and light illumination. The experimental results on the CASIA V3.0 iris database, with genuine acceptance rate equals 99.72%, show the success of the proposed method.

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