2019
DOI: 10.1002/cae.22103
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Simulink‐based teaching design for multipath‐effect elimination utilizing convolution analysis and pade approximation

Abstract: Radio signals which reach the receiving antenna by two or more paths will result in a propagation phenomenon called multipath. It is one common propagation phenomenon in wireless telecommunications. Concept of the multipath is also one of teaching contents in electronic and electrical engineering studies. Along with the rapid development of digital computational technology, CAI (“computer aided instruction”) has become one powerful tool widely applied in teaching and study. Based on convolution analysis from t… Show more

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Cited by 7 publications
(3 citation statements)
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“…Because the control bandwidth of the current loop in the system is much larger than the modal frequency of the double-flexible system, the influence of the current loop can be ignored and regarded as constant 1. In reference [26], the system transfer function was reduced by Pade method, and Equation (31) can be obtained as follows.…”
Section: The Same Damping Pole Assignment Methods Improves Pi Parametersmentioning
confidence: 99%
“…Because the control bandwidth of the current loop in the system is much larger than the modal frequency of the double-flexible system, the influence of the current loop can be ignored and regarded as constant 1. In reference [26], the system transfer function was reduced by Pade method, and Equation (31) can be obtained as follows.…”
Section: The Same Damping Pole Assignment Methods Improves Pi Parametersmentioning
confidence: 99%
“…The transportation delay often poses challenges in control system design and implementation, as it can significantly affect system performance and stability. Padé approximation offers an effective approach to approximate the transportation delay using a rational function based on the following definition [41]- [44]:…”
Section: A Petrol Transportation System Modelingmentioning
confidence: 99%
“…ere is much data information in the in-school cultivation data series or in the companies' ability requirement data series. e recognition of the relationship between the in-school cultivation and the companies' requirement needs to study some advanced intelligent analytics, such as the feature extraction techniques [22], data conversion methods [23], and convolution approaches [24]. Periconceptionally, an adaptive neural network is functional to establish models to resolve the feature relationship between different data series [25,26].…”
Section: Introductionmentioning
confidence: 99%