Extraction of Unit Pulse Response Function Based on Sparse RBF Network Applied in Rail Anchor Screw

2015 ◽  
Vol 12 (16) ◽  
pp. 5933-5945
Author(s):  
Dan Yang
Keyword(s):  
Response Function ◽  
Pulse Response ◽  
Rbf Network ◽  
Unit Pulse

Determination of an optimal unit pulse response function using real-coded genetic algorithm

2005 ◽  
Vol 303 (1-4) ◽  
pp. 199-214 ◽  
Author(s):  
Ashu Jain ◽  
Sanaga Srinivasalu ◽  
Rajib Kumar Bhattacharjya
Keyword(s):  
Genetic Algorithm ◽  
Response Function ◽  
Pulse Response ◽  
Real Coded Genetic Algorithm ◽  
Unit Pulse

Topological Characteristics of ECG Signal using Lyapunov Exponent and RBF Network

2011 ◽  
Vol 1 (9) ◽  
pp. 53-55
Author(s):  
Abinash Dahal ◽  
◽  
Deepashree Devaraj ◽  
Dr. N. Pradhan Dr. N. Pradhan
Keyword(s):  
Lyapunov Exponent ◽  
Ecg Signal ◽  
Rbf Network ◽  
Topological Characteristics

Face Detection for AIBO Using RBF Network

2010 ◽  
Vol 130 (11) ◽  
pp. 2031-2038
Author(s):  
Kohki Abiko ◽  
Hironobu Fukai ◽  
Yasue Mitsukura ◽  
Minoru Fukumi ◽  
Masahiro Tanaka
Keyword(s):  
Face Detection ◽  
Rbf Network

Fractional Vector-Order h-Realisation of the Impulse Response Function

2020 ◽  
Vol 14 (2) ◽  
pp. 108-113
Author(s):  
Ewa Pawłuszewicz
Keyword(s):  
Control Systems ◽  
Impulse Response ◽  
Response Function ◽  
Impulse Response Function ◽  
Linear Control ◽  
Linear Control Systems

AbstractThe problem of realisation of linear control systems with the h–difference of Caputo-, Riemann–Liouville- and Grünwald–Letnikov-type fractional vector-order operators is studied. The problem of existing minimal realisation is discussed.

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