XXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

This paper presents an enhanced belief propagation (BP) decoding algorithm and a reinforcement learning-based BP decoding algorithm for polar codes. The enhanced BP algorithm weighs each Processing Element (PE) input based on their signals and Euclidean distances using a heuristic metric. The proposed reinforcement learning-based BP decoding strategy...

Este trabalho tem como objetivo apresentar a implementação de um algoritmo de processamento digital de sinais em um FPGA (Field-Programmable Gate Array) utilizando a placa de desenvolvimento Altera DE0. O algoritmo implementado é o de filtro digital do tipo Resposta ao Impulso Finita (FIR - Finite Impulse Response), mais especificamente um filtro...

Quadrature Amplitude Modulation Filterbank Multicarrier (QAM-FBMC) has been a promising technology for 5G communication systems. However, to achieve the desired performance, it is necessary to deal with the intrinsic interference observed at the receiver. Aiming to overcome the intrinsic interference, in this paper, we evaluate the applicability of a...

O presente trabalho considera a utilização de Aprendizagem de Máquina Automatizada para investigar o problema da previsão de novos casos de COVID-19 no Brasil com uma semana de antecedência. Utilizando uma abordagem de programação genética e validação cruzada do tipo Time Series Split, foi possível obter um regressor por Vetores de Suporte Linear para...

A dinâmica caótica pode ser explorada para a implementação de sistemas de comunicação não convencionais. Uma das formas de fazê-lo consiste em utilizar o sincronismo que ocorre entre osciladores caóticos, para transmitir informações adequadamente codificadas dentro do conjunto invariante. Sendo assim, no decorrer das últimas décadas, muitos métodos de...

This article presents the development of a device that works as a light detector in the visible range, an "optical antenna". The idea is to use a small segment of plastic optical fiber (POF) made from PMMA or fluorescent polystyrene in LiFi (Light Fidelity) systems.

The Hilbert-Huang transform (HHT) is a time-frequency (TF) analysis technique based on empirical mode decomposition (EMD), which has been successfully applied to non-stationary signals and non-linear systems, including passive SONAR signals. However, the performance of HHT/EMD can be greatly degraded under conditions of low signal-to-noise ratio (SNR)....

This paper introduces an improved spectrum sensing technique that exploits the existing information in the signals received from both electric power grids and wireless media to allow power line communication systems to monitor the spectrum occupancy/holes in the frequency band between 1.7 and 100 MHz. The applied procedure for implementing the proposed...

This paper introduces a practical approach to analyze and quantify the benefits of using the waste-to-energy concept to improve power quality and energy efficiency in electric power systems. Also, we introduce the so-called Passive Filtering Energy Recovery, which aims to perform the energy recovery in undesirable components present in electric...

This paper presents the training of a state-of-the-art neural network model, Tacotron-2, using a open-source voice dataset from the Common Voice project. Results from training the model from scratch and by applying transfer learning of a pre-trained english model were evaluated. The results show that it is possible to train the model with limited data...