World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
6991
World Ranking
13394
National Ranking
64

Research.com Recognitions

  • 2000 - IEEE Fellow For fundamental contributions to the design and implementation of fixed and adaptive filters and Electrical Engineering Education.

Overview

Paulo S. R. Diniz is affiliated with the Federal University of Rio de Janeiro in Brazil. Their research spans multiple disciplines primarily within computer science and engineering, with significant contributions in electrical and electronic engineering, signal processing, artificial intelligence, aerospace engineering, and computational mechanics.

Their scholarly work includes a focus on advanced adaptive filtering techniques, speech and audio processing, blind source separation, anomaly detection, PAPR reduction in OFDM, advanced wireless communication techniques, and adversarial robustness in machine learning.

Frequent publication venues for their work include:

  • IEEE Signal Processing Letters
  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Circuits & Systems II Express Briefs

Notable recent papers authored by or connected to Paulo S. R. Diniz include:

  • HRLE-SARDet: A Lightweight SAR Target Detection Algorithm Based on Hybrid Representation Learning Enhancement (2023), IEEE Transactions on Geoscience and Remote Sensing
  • Feature Adaptive Filtering: Exploiting Hidden Sparsity (2020), IEEE Transactions on Circuits and Systems I Regular Papers
  • Correntropy-Based Data Selective Adaptive Filtering (2023), IEEE Transactions on Circuits and Systems I Regular Papers
  • A Unified Affine-Projection-Like Adaptive Algorithm for System Identification (2023), IEEE Transactions on Circuits & Systems II Express Briefs
  • VFL3D: A Single-Stage Fine-Grained Lightweight Point Cloud 3D Object Detection Algorithm Based on Voxels (2024), IEEE Transactions on Intelligent Transportation Systems

Frequent co-authors collaborating with Paulo S. R. Diniz include:

  • Markus V. S. Lima
  • Wallace A. Martins
  • Marcele O. K. Mendonça
  • Marcello L. R. de Campos
  • Jose A. Apolinário

Their analytical work has extended into book publications, including "Online Learning and Adaptive Filters" published by Cambridge University Press in 2022.

Paulo S. R. Diniz has been recognized with the IEEE Fellow award since 2000 for contributions to the design and implementation of fixed and adaptive filters and in Electrical Engineering education.

Best Publications

  • Adaptive Filtering: Algorithms and Practical Implementation

    Paulo Sergio Diniz

  • Digital Signal Processing: System Analysis and Design

    Paulo Diniz;Sergio Netto;Eduardo Da Silva

  • A Survey of Underwater Wireless Communication Technologies

    Camila M. G. Gussen;Paulo S. R. Diniz;Marcello L. R. Campos;Wallace A. Martins

  • Set-membership affine projection algorithm

    S. Werner;P.S.R. Diniz

  • Set-membership binormalized data-reusing LMS algorithms

    P.S.R. Diniz;S. Werner

  • Energy Detection Technique for Adaptive Spectrum Sensing

    Iker Sobron;Paulo S. R. Diniz;Wallace A. Martins;Manuel Velez

  • The Compression of Electric Signal Waveforms for Smart Grids: State of the Art and Future Trends

    Michel P. Tcheou;Lisandro Lovisolo;Moises V. Ribeiro;Eduardo A. B. da Silva

  • Partial-update NLMS algorithms with data-selective updating

    S. Werner;M.L.R. de Campos;P.S.R. Diniz

  • Convergence analysis of the binormalized data-reusing LMS algorithm

    J. Apolinario;M.L.R. Campos;P.S.R. Diniz

  • Set-Membership Adaptive Algorithms Based on Time-Varying Error Bounds for CDMA Interference Suppression

    R.C. de Lamare;P. Diniz

  • New structures for adaptive filtering in subbands with critical sampling

    M.R. Petraglia;R.G. Alves;P.S.R. Diniz

  • Sparsity-Aware Data-Selective Adaptive Filters

    Markus V. S. Lima;Tadeu N. Ferreira;Wallace Alves Martins;Paulo S. R. Diniz

  • Adaptive Filtering

    Paulo S. R. Diniz

  • Efficient coherent adaptive representations of monitored electric signals in power systems using damped sinusoids

    L. Lovisolo;E.A.B. da Silva;M.A.M. Rodrigues;P.S.R. Diniz

  • Low-complexity constrained affine-projection algorithms

    S. Werner;J.A. Apolinario;M.L.R. de Campos;P.S.R. Diniz

  • A new delayless subband adaptive filter structure

    R. Merched;P.S.R. Diniz;M.R. Petraglia

  • Constrained normalized adaptive filters for CDMA mobile communications

    J. A. Apolinario;S. Werner;P. S. R. Diniz;T. I. Laakso

  • Analysis of LMS-Newton adaptive filtering algorithms with variable convergence factor

    P.S.R. Diniz;M.L.R. de Campos;A. Antoniou

  • Adaptive IIR filtering algorithms for system identification: a general framework

    S.L. Netto;P.S.R. Diniz;P. Agathoklis

  • Adaptive Pilot-Symbol Patterns for MIMO OFDM Systems

    Michal Simko;Paulo S. R. Diniz;Qi Wang;Markus Rupp

  • Set-Membership Proportionate Affine Projection Algorithms

    Stefan Werner;José A. Apolinário;Paulo S. R. Diniz

  • Partial-update NLMS algorithms with data-selective updating

    Stefan Werner;Marcello L. R. de Campos;Paulo S. R. Diniz

Frequent Co-Authors

Andreas Antoniou
Andreas Antoniou University of Victoria
R.C. de Lamare
R.C. de Lamare Pontifical Catholic University of Rio de Janeiro
Tapio Saramaki
Tapio Saramaki Tampere University
Are Hjorungnes
Are Hjorungnes University of Oslo
Marc Moonen
Marc Moonen KU Leuven
Keiichi Tokuda
Keiichi Tokuda Nagoya Institute of Technology
Abeer Alwan
Abeer Alwan University of California, Los Angeles
Markku Renfors
Markku Renfors Tampere University
Josef A. Nossek
Josef A. Nossek Technical University of Munich

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