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The control system described in this work implements automatically a digital controller that achieves the highest possible cross-over frequency for the specified phase margin by applying a design method based on the measured frequency response of the DC/DC converter, identified by the system itself. The algorithms for the design, identification process and control of the converter are implemented...
The objective of this work is to select artificial neural network models (ANN) automatically with sigmoid basis units for multiclassification tasks. These models are designed using a Memetic Pareto Differential Evolution Neural Network algorithm (MPDENN) based on the Pareto dominance concept. We propose different methodologies to obtain the best model from the Pareto front obtained with the MPDENN...
This paper studies the suitability of Extreme Learning Machines (ELM) for resolving bioinformatic and biomedical classification problems. In order to test their overall performance, an experimental study is presented based on five gene microarray datasets found in bioinformatic and biomedical domains. The Fast Correlation-Based Filter (FCBF) was applied in order to identify salient expression genes...
This paper presents the design of a DVB-T2 modulator algorithm supporting multiple PLP and auxiliary streams. The algorithm works over an asynchronous modulator design, presenting per stream scheduling policies, T2 Frames capacity management, and DFL computation. A software tool was developed in order to create system configurations, validate input parameters, and manage per stream capacity distribution,...
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