Paulo S. R. Diniz
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View article: Synthetic Waveform Generation for Satellite, HAPS, and 5G Base Station Positioning Reference Signal Using QuaDRiGa
Synthetic Waveform Generation for Satellite, HAPS, and 5G Base Station Positioning Reference Signal Using QuaDRiGa Open
Waveform generation is essential for studying signal propagation and channel characteristics, particularly for objects that are conceptualized but still need to be operational. We introduce a comprehensive guide on creating synthetic signa…
View article: Adversarial Training for Jamming-Robust Channel Estimation in OFDM Systems
Adversarial Training for Jamming-Robust Channel Estimation in OFDM Systems Open
peer reviewed
View article: Adversarial training with informed data selection
Adversarial training with informed data selection Open
With the increasing amount of available data and advances in computing capabilities, deep neural networks (DNNs) have been successfully employed to solve challenging tasks in various areas, including healthcare, climate, and finance. Never…
View article: Adversarial training with informed data selection
Adversarial training with informed data selection Open
With the increasing amount of available data and advances in computing capabilities, deep neural networks (DNNs) have been successfully employed to solve challenging tasks in various areas, including healthcare, climate, and finance. Never…
View article: Electronic Identification of Cattle: Traceability for Food Safety in Madagascar
Electronic Identification of Cattle: Traceability for Food Safety in Madagascar Open
International audience
View article: Do Proportionate Algorithms Exploit Sparsity?
Do Proportionate Algorithms Exploit Sparsity? Open
Adaptive filters exploiting sparsity have been a very active research field, among which the algorithms that follow the "proportional-update principle", the so-called proportionate-type algorithms, are very popular. Indeed, there are hundr…
View article: Denoising cosmic rays radio signal using Wavelets techniques
Denoising cosmic rays radio signal using Wavelets techniques Open
Estimating a signal embedded in noise requires taking advantage of any prior information about the signal and noise. Until recently, signal processing estimation was primarily Bayesian and linear. Non-linear smoothing algorithms existed in…
View article: The use of adaptive predictor filter as a trigger mechanism in simulated cosmic rays radio signals corrupted with Gaussian noise
The use of adaptive predictor filter as a trigger mechanism in simulated cosmic rays radio signals corrupted with Gaussian noise Open
Adaptive filtering belongs to the realm of learning algorithms, widely used in our daily life in the context of machine learning, artificial intelligence, pattern recognition, etc. It is formally defined as a self-designing device with tim…
View article: Data Selection in Neural Networks
Data Selection in Neural Networks Open
In the era of big data, profitable opportunities are becoming available for many applications. As the amount of data keeps increasing, machine learning becomes an attractive tool to analyze the information acquired. However, harnessing mea…
View article: Intersymbol and Intercarrier Interference in OFDM Systems: Unified Formulation and Analysis
Intersymbol and Intercarrier Interference in OFDM Systems: Unified Formulation and Analysis Open
A new unified formulation for seven different orthogonal frequency-division multiplexing (OFDM) systems is presented. The proposed formulation relies on six parameters and encompasses conventional OFDM systems, with windowing in the transm…
View article: Intersymbol and Intercarrier Interference in OFDM Transmissions Through Highly Dispersive Channels
Intersymbol and Intercarrier Interference in OFDM Transmissions Through Highly Dispersive Channels Open
This work quantifies, for the first time, intersymbol and intercarrier interferences induced by very dispersive channels in OFDM systems. The resulting achievable data rate for \wam{suboptimal} OFDM transmissions is derived based on the co…
View article: Convex Combination of Constraint Vectors for Set-membership Affine Projection Algorithms
Convex Combination of Constraint Vectors for Set-membership Affine Projection Algorithms Open
Set-membership affine projection (SM-AP) adaptive filters have been increasingly employed in the context of online data-selective learning. A key aspect for their good performance in terms of both convergence speed and steady-state mean-sq…
View article: Achievable Data Rate of DCT-Based Multicarrier Modulation Systems
Achievable Data Rate of DCT-Based Multicarrier Modulation Systems Open
peer reviewed
View article: Intersymbol and Intercarrier Interference in OFDM Transmissions through\n Highly Dispersive Channels
Intersymbol and Intercarrier Interference in OFDM Transmissions through\n Highly Dispersive Channels Open
This work quantifies, for the first time, intersymbol and intercarrier\ninterferences induced by very dispersive channels in OFDM systems. The\nresulting achievable data rate for \\wam{suboptimal} OFDM transmissions is\nderived based on th…
View article: Low-Complexity Feature Stochastic Gradient Algorithm for Block-Lowpass Systems
Low-Complexity Feature Stochastic Gradient Algorithm for Block-Lowpass Systems Open
New approaches have been proposed to detect and exploit sparsity in adaptive systems. However, the sparsity is not always explicit among the system coefficients, thus requiring some tools to reveal it. By means of the so-called feature fun…
View article: On Fast Converging Data-Selective Adaptive Filtering
On Fast Converging Data-Selective Adaptive Filtering Open
The amount of information currently generated in the world has been increasing exponentially, raising the question of whether all acquired data is relevant for the learning algorithm process. If a subset of the data does not bring enough i…
View article: Performance Evaluation Of Adaptive Filters For Sparse Wireless Channel Estimation
Performance Evaluation Of Adaptive Filters For Sparse Wireless Channel Estimation Open
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017
View article: Implementation Issues of Adaptive Energy Detection in Heterogeneous Wireless Networks
Implementation Issues of Adaptive Energy Detection in Heterogeneous Wireless Networks Open
Spectrum sensing (SS) enables the coexistence of non-coordinated heterogeneous wireless systems operating in the same band. Due to its computational simplicity, energy detection (ED) technique has been widespread employed in SS application…
View article: A Survey of Underwater Wireless Communication Technologies
A Survey of Underwater Wireless Communication Technologies Open
The increasing exploitation of natural resources under water, particularly in the sea, has ignited the development of many technological advances in the domains of environmental monitoring, oil and gas exploration, warfare, among others. I…
View article: A Double-Threshold-Based Approach To Impulsive Noise Detection In Audio Signals
A Double-Threshold-Based Approach To Impulsive Noise Detection In Audio Signals Open
Publication in the conference proceedings of EUSIPCO, Tampere, Finland, 2000
View article: Wavelet Shrinkage Denoting Applied To Real Audio Signals Under Perceptual Evaluation
Wavelet Shrinkage Denoting Applied To Real Audio Signals Under Perceptual Evaluation Open
Publication in the conference proceedings of EUSIPCO, Tampere, Finland, 2000
View article: Energy Detection Technique for Adaptive Spectrum Sensing
Energy Detection Technique for Adaptive Spectrum Sensing Open
The increasing scarcity in the available spectrum for wireless communication is one of the current bottlenecks impairing further deployment of services and coverage. The proper exploitation of white spaces in the radio spectrum requires fa…