Results 61 to 70 of about 600,300 (312)
Adaptive minimum error-rate filtering design: a review [PDF]
, 2008 Adaptive filtering has been an enabling technology and has found ever-increasing applications in various state-of-the-art communication systems. Traditionally, adaptive filtering has been developed based on the Wiener or minimum mean square error (MMSE ...
Sheng Chen +7 more
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IET Computers & Digital Techniques, 2021 In recent years, approximate circuit design targeting the error‐tolerant applications has gained significance. In this study, the authors propose a metric that ranks a stand‐alone approximate adder in terms of power savings obtained for a given mean ...
Celia Dharmaraj +2 more
doaj +1 more source
Adaptive Beamforming Method for MIMO Antenna Array with Constrained Mean Square Error
International Journal of Recent Technology and Engineering (IJRTE), 2020 The Adaptive beam forming with Multikernel based Bayesian learning method beam forming on Uniform Linear Array (ULA) antennas for better localization. Undetermined source localization problem is solved using the Multikernel Sparse Bayesian Learning framework.
Mamatha MC, Dr Sateesh Kumar H C
openaire +1 more source
FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Information theoretic waveform design with applications to adaptive‐on‐transmit radar
IET Radar, Sonar & NavigationThe marginal Fisher information (MFI) metric is used to design waveforms for the sake of informationally optimal adaptive‐on‐transmit radar operation. A framework for MFI waveform design is developed and the Polyphase‐Coded FM (PCFM) waveform model is ...
Daniel B. Herr +2 more
doaj +1 more source
Where Does Minimum Error Entropy Outperform Minimum Mean Square Error? A New and Closer Look
IEEE Access, 2018 The past decade has seen a rapid application of information theoretic learning (ITL) criteria in robust signal processing and machine learning problems. Generally, in ITL's literature, it is seen that, under non-Gaussian assumptions, especially when the ...
Ahmad Reza Heravi, Ghosheh Abed Hodtani
doaj +1 more source
A regression approach to zebra crossing detection based on convolutional neural networks
IET Cyber-systems and Robotics, 2021 Zebra crossing detection is a fundamental function of the electronic travel aid. It can locate the zebra crossing and estimate its direction to help the visually impaired to cross the road safely.
Xue‐Hua Wu, Renjie Hu, Yu‐Qing Bao
doaj +1 more source
Energy Reports, 2021 In this research, a new efficient method is introduced for model assessment of Solid Oxide Fuel Cell (SOFC) model using a new hybrid Elman Neural Network (ENN).
Hailong Jia, Bahman Taheri
doaj +1 more source
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
FEBS Letters, EarlyView.The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
A Comparative Study of Missing Rainfall Data Analysis Using the Methods of Inversed Square Distance and Arithmetic Mean [PDF]
, 2022 In water resources planning and management, it is essential to have reliable rainfall data. In many cases, rainfall data under the guardian national/local institution are incomplete. Some data are missing, both monthly and annually.
Yogafanny, Ekha, Legono, Djoko
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