scholarly journals Late Time and Wideband Electromagnetic Signal Extraction Using Gaussian Basis Function

2014 ◽  
Vol 39A (3) ◽  
pp. 140-148
Author(s):  
Je-Hun Lee ◽  
Beong-Ju Ryu ◽  
Jinhwan Koh
Keyword(s):  
Basis Function ◽  
Signal Extraction ◽  
Electromagnetic Signal ◽  
Late Time ◽  
Gaussian Basis Function

Evolving Basis Function Networks for System Identification

2001 ◽  
Vol 5 (4) ◽  
pp. 229-238 ◽  
Author(s):  
Yuehui Chen ◽  
◽  
Shigeyasu Kawaji
Keyword(s):  
Basis Function ◽  
Learning Algorithm ◽  
Search Algorithm ◽  
Random Search ◽  
Parameter Tuning ◽  
Unified Framework ◽  
B Spline ◽  
Gaussian Basis Function ◽  
Structure Adaptation ◽  
Random Search Algorithm

This paper is concerned with learning and optimization of different basis function networks in the aspect of structure adaptation and parameter tuning. Basis function networks include the Volterra polynomial, Gaussian radial, B-spline, fuzzy, recurrent fuzzy, and local Gaussian basis function networks. Based on creation and evolution of the type constrained sparse tree, a unified framework is constructed, in which structure adaptation and parameter adjustment of different basis function networks are addressed using a hybrid learning algorithm combining a modified probabilistic incremental program evolution (MPIPE) and random search algorithm. Simulation results for the identification of nonlinear systems show the feasibility and effectiveness of the proposed method.

An OFDM Channel Estimation Method with Radial Basis Function Neural Network

2012 ◽  
Vol 263-266 ◽  
pp. 1142-1149
Author(s):  
Xiao Wei He ◽  
Rui Zhe Yang ◽  
Jie Zhang ◽  
Yan Hua Zhang
Keyword(s):  
Neural Network ◽  
Channel Estimation ◽  
Radial Basis Function ◽  
Basis Function ◽  
Estimation Method ◽  
Multipath Fading ◽  
Ofdm Systems ◽  
Multipath Fading Channel ◽  
Gaussian Basis Function ◽  
Radial Basis

For OFDM system, we proposed a channel estimation method based on radial basis function neural network (RBFNN). The neural network with Gaussian basis function is established according to the pilot pattern, where the network parameters are obtained by training channel response of pilot subcarriers as objective values for input samples. With the established network, channel coefficients of non-pilot subcarriers can be predicted. The simulation results indicate that the proposed algorithm performs well in OFDM systems under Rayleigh multipath fading channel.

scholarly journals 3-D Topology Optimization of Claw-Pole Alternator Using Gaussian-Basis Function With Global and Local Searches

2020 ◽  
Vol 56 (1) ◽  
pp. 1-4
Author(s):  
Yoshitsugu Otomo ◽  
Hajime Igarashi ◽  
Yuki Hidaka ◽  
Taiga Komatsu ◽  
Masaki Yamada
Keyword(s):  
Topology Optimization ◽  
Basis Function ◽  
Gaussian Basis Function ◽  
Local Searches ◽  
Global And Local
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