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Minimum kernel risk sensitive mean p-power loss algorithms and their performance analysis
Digital Signal Processing
◽
10.1016/j.dsp.2020.102797
◽
2020
◽
Vol 104
◽
pp. 102797
Author(s):
Tao Zhang
◽
Xuewei Huang
◽
Shiyuan Wang
Keyword(s):
Performance Analysis
◽
Power Loss
◽
Risk Sensitive
Download Full-text
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Complex multi-kernel random Fourier adaptive algorithms under the complex kernel risk-sensitive p-power loss
Digital Signal Processing
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10.1016/j.dsp.2021.103087
◽
2021
◽
pp. 103087
Author(s):
Gangyi Huang
◽
Minglin Shen
◽
Tao Zhang
◽
Fuliang He
◽
Shiyuan Wang
Keyword(s):
Power Loss
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Adaptive Algorithms
◽
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Performance Analysis of Learning Rate Parameter on Prediction of Signal Power Loss for Network Optimization and Better Generalization
Wireless Personal Communications
◽
10.1007/s11277-020-08061-z
◽
2021
◽
Author(s):
Virginia C. Ebhota
◽
Viranjay M. Srivastava
Keyword(s):
Performance Analysis
◽
Network Optimization
◽
Power Loss
◽
Learning Rate
◽
Signal Power
◽
Rate Parameter
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Practical simulator development for power loss performance analysis of soft switching and hard switching PWM inverters using IGBTs
IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243)
◽
10.1109/iecon.2001.975872
◽
2002
◽
Cited By ~ 4
Author(s):
E. Hiraki
◽
M. Nakaoka
Keyword(s):
Performance Analysis
◽
Power Loss
◽
Soft Switching
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Minimum Kernel Risk-Sensitive Mean P-Power Loss Algorithm Based Seamless Control of Grid-Tied PV-Battery System
10.1109/gucon50781.2021.9573791
◽
2021
◽
Author(s):
Mukul Chankaya
◽
Aijaz Ahmad
◽
Ikhlaq Hussain
◽
Bhim Singh
Keyword(s):
Power Loss
◽
Battery System
◽
Risk Sensitive
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Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification
Applied Intelligence
◽
10.1007/s10489-021-02852-y
◽
2021
◽
Author(s):
Zhen-Xin Niu
◽
Cui-Na Jiao
◽
Liang-Rui Ren
◽
Rong Zhu
◽
Juan Wang
◽
...
Keyword(s):
Extreme Learning Machine
◽
Power Loss
◽
Sample Classification
◽
Risk Sensitive
◽
Learning Machine
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Performance Analysis of a Hybrid Algorithm for Power Loss Reduction by Distribution Network Reconfiguration
Emerging Trends in Electrical, Electronic and Communications Engineering - Lecture Notes in Electrical Engineering
◽
10.1007/978-3-319-52171-8_10
◽
2017
◽
pp. 132-143
Author(s):
Sarah Marappa Naiken
◽
Robert T. F. Ah King
Keyword(s):
Performance Analysis
◽
Power Loss
◽
Hybrid Algorithm
◽
Distribution Network
◽
Network Reconfiguration
◽
Loss Reduction
◽
Distribution Network Reconfiguration
◽
Power Loss Reduction
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Design basis and hydrodynamic performance analysis of single‐screw extruders. II – viscous power loss
Industrial Lubrication and Tribology
◽
10.1108/00368790910960020
◽
2009
◽
Vol 61
(4)
◽
pp. 197-202
Author(s):
Oğuz Demiryürek
◽
Erdem Koç
Keyword(s):
Performance Analysis
◽
Power Loss
◽
Hydrodynamic Performance
◽
Single Screw
◽
Design Basis
◽
Single Screw Extruders
◽
Screw Extruders
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Performance Analysis of Communications Networks and Systems
10.1017/cbo9780511616488
◽
2006
◽
Cited By ~ 117
Author(s):
Piet Van Mieghem
Keyword(s):
Performance Analysis
◽
Communications Networks
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Human Performance Analysis Tool (HPAT)
PsycEXTRA Dataset
◽
10.1037/e564862012-056
◽
2009
◽
Author(s):
Milt Stretton
Keyword(s):
Performance Analysis
◽
Human Performance
◽
Analysis Tool
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Performance analysis of a slow FH/MFSK acquisition scheme in random partial band noise jamming
IEE Proceedings - Communications
◽
10.1049/ip-com:19941464
◽
1994
◽
Vol 141
(6)
◽
pp. 396
Author(s):
C.-D. Chung
Keyword(s):
Performance Analysis
◽
Band Noise
◽
Acquisition Scheme
◽
Partial Band Noise Jamming
Download Full-text
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