Adaptive feature enhancement of retinal vascular images using wavelet-based multiresolution analysis

1998 ◽  
Author(s):  
Lei Xu ◽  
Xiaoxiang Zheng ◽  
Yajun Yu ◽  
Hengyi Zhang
Keyword(s):  
Multiresolution Analysis ◽  
Feature Enhancement

Driver's Mental Stress Visualization by Discrete Wavelet Multiresolution Analysis.

2000 ◽  
Vol 20 (79) ◽  
pp. 356-364
Author(s):  
Taro SEKINE ◽  
Masahiro TAKEI ◽  
Michiharu OKANO ◽  
Hiroyasu NAGAE ◽  
Yoshifuru SAITO ◽  
...  
Keyword(s):  
Multiresolution Analysis ◽  
Mental Stress ◽  
Discrete Wavelet ◽  
Wavelet Multiresolution Analysis

scholarly journals Wavelet Transform Based Fault Identification and Reconfiguration for a Reduced Switch Multilevel Inverter Fed Induction Motor Drive

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1023
Author(s):  
Arigela Satya Veerendra ◽  
Akeel A. Shah ◽  
Mohd Rusllim Mohamed ◽  
Chavali Punya Sekhar ◽  
Puiki Leung
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Multiresolution Analysis ◽  
Short Circuit ◽  
Open Circuit ◽  
Multilevel Inverter ◽  
Fault Identification ◽  
Discrete Wavelet ◽  
The Novel ◽  
Inverter Topology

The multilevel inverter-based drive system is greatly affected by several faults occurring on switching elements. A faulty switch in the inverter can potentially lead to more losses, extensive downtime and reduced reliability. In this paper, a novel fault identification and reconfiguration process is proposed by using discrete wavelet transform and auxiliary switching cells. Here, the discrete wavelet transform exploits a multiresolution analysis with a feature extraction methodology for fault identification and subsequently for reconfiguration. For increasing the reliability, auxiliary switching cells are integrated to replace faulty cells in a proposed reduced-switch 5-level multilevel inverter topology. The novel reconfiguration scheme compensates open circuit and short circuit faults. The complexity of the proposed system is lower relative to existing methods. This proposed technique effectively identifies and classifies faults using the multiresolution analysis. Furthermore, the measured current and voltage values during fault reconfiguration are close to those under healthy conditions. The performance is verified using the MATLAB/Simulink platform and a hardware model.

Collaborative Learning with A Multi-Branch Framework for Feature Enhancement

2021 ◽  
pp. 1-1
Author(s):  
Xiao Luan ◽  
Yuanyuan Zhao ◽  
Weihua Ou ◽  
Linghui Liu ◽  
Weisheng Li ◽  
...  
Keyword(s):  
Collaborative Learning ◽  
Feature Enhancement
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