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Cuiran Li, Yongjie Lu, Jianli Xie and Zepeng Zhang
This paper proposes an intelligent reflecting surface (IRS)-assisted energy efficiency optimization algorithm to address the problem of energy efficiency (EE) degradation in high-speed rail communication systems caused by line-of-sight link blockages bet...
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Hai Huyen Dam and Sven Nordholm
This paper proposes a new adaptive algorithm for the second-order blind signal separation (BSS) problem with convolutive mixtures by utilising a combination of an accelerated gradient and a conjugate gradient method. For each iteration of the adaptive al...
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Kemal Güven and Andaç Töre Samiloglu
Neural networks are one of the methods used in system identification problems. In this study, a NARX network with a serial-parallel structure was used to identify an unknown aerial delivery system with a ram-air parachute. The dataset was created using t...
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Raúl Ulices Silva-Ávalos, Hugo Enrique Júnez-Ferreira, Julián González-Trinidad and Carlos Bautista-Capetillo
In Mexico, agriculture in semi-arid regions is highly dependent on groundwater resources, where most of the aquifers? characterization is a pending task. In particular, the depth to the basement is unknown for most of the Mexican territory. Hence, the de...
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Dmitry Lukyanenko, Valentin Shinkarev and Anatoly Yagola
This paper discusses a method for taking into account rounding errors when constructing a stopping criterion for the iterative process in gradient minimization methods. The main aim of this work was to develop methods for improving the quality of the sol...
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