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Correntropy-Based Data Selective Adaptive Filtering

IEEE Transactions on Circuits and Systems I: Regular Papers 2024年第2期71卷 754-766页

作者： Chien, Ying-Ren Wu, Sheng-Teng Tsao, Hen-Wai Diniz, Paulo S.R. Adaptive and Autonomous Communication Laboratory Department of Electrical Engineering National Ilan University Yilan City260007 Taiwan College of Electrical Engineering and Computer Science Graduate Institute of Communication Engineering National Taiwan University Taipei10617 Taiwan Program of Electrical Engineering Department of Electronics and Computer Engineering COPPE/Poli Universidade Federal do Rio de Janeiro Rio de Janeiro68504 Brazil

Data selection can be used in conjunction with adaptive filtering algorithms to avoid unnecessary weight updating and thereby reduce computational overhead. This paper presents a novel correntropy-based data selection method as an alternative to conventional data selection mechanisms based on squared error values. We developed a variable correntropy sensing algorithm to maximize the instantaneous correntropy function for the Gaussian kernel function to mitigate the impact of impulse noise and other forms of noise that can be disregarded in data selection. The proposed data selection mechanism can be implemented with any adaptive filtering algorithm. In simulations, the proposed method (implemented with the least mean squared algorithm) outperformed comparable error-based data selection schemes in terms of hit rate and miss rate, and the resulting weight updating ratio was close to the expected weight updating ratio. © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

关键词： Adaptive filters

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Reachability Analysis of Nonlinear Discrete-Time Systems Using Polyhedral Relaxations and Constrained Zonotopes

arXiv

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arXiv 2025年

作者： Rego, Brenner S. Raffo, Guilherme V. Terra, Marco H. Scott, Joseph K. Department of Chemical and Biomolecular Engineering Georgia Institute of Technology 311 Ferst Dr. AtlantaGA30318 United States Department of Electrical and Computer Engineering University of São Paulo SP São Carlos13566-590 Brazil Department of Electronics Engineering the Graduate Program in Electrical Engineering Federal University of Minas Gerais MG Belo Horizonte31270-901 Brazil

This paper presents a novel algorithm for reachability analysis of nonlinear discrete-time systems. The proposed method combines constrained zonotopes (CZs) with polyhedral relaxations of factorable representations of nonlinear functions to propagate CZs through nonlinear functions, which is normally done using conservative linearization techniques. The new propagation method provides better approximations than those resulting from linearization procedures, leading to significant improvements in the computation of reachable sets in comparison to other CZ methods from the literature. Numerical examples highlight the advantages of the proposed algorithm. © 2025, CC BY-NC-ND.

关键词： Numerical methods

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Power efficient error control for bluetooth-based sensor networks

Power efficient error control for bluetooth-based sensor net...

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IEEE Conference on Local computer Networks - 30th Anniversary, LCN 2005

作者： Kleinschmidt, João H. Borelli, Walter C. Pellenz, Marcelo E. School of Electrical and Computer Engineering State University of Campinas - UNICAMP Graduate Program in Computer Science Pontifical Catholic University of Paraná - PUCPR

ISBN: (纸本)0769524214

This paper- studies different error control schemes in wireless sensor networks with Bluetooth technology. The tradeoff between reliability and energy consumption of Bluetooth packets are analyzed, using different error control techniques, such as retransmission and channel coding The AUX1 packet is utilized for custom coding and also are proposed adaptive techniques based on the number of hops of the network. The wireless channel is modeled with Rayleigh fading. The results obtained may be used as references to determine the packet type in a sensor application. © 2005 IEEE.

关键词： Wireless telecommunication systems

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Neural Constraints on Cognitive Experience and Mental Health

arXiv

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arXiv 2025年

作者： Shariatpanahi, Bita Nozari, Erfan Daftarian, Soroush Arab, Fahimeh Kheirkhah, Mina Bernhard, Felix P. Khodadadi, Shiva Giltay, Erik J. Hebbrecht, Kaat Hofmann, Stefan G. Hahn, Tim Jamalabadi, Hamidreza Department of Psychiatry and Psychotherapy University of Marburg Germany Department of Mechanical Engineering University of California RiversideCA United States Department of Electrical and Computer Engineering University of California Riverside RiversideCA United States Department of Bioengineering University of California Riverside RiversideCA United States Neuroscience Graduate Program University of California Riverside RiversideCA United States Experimental Therapeutics and Pathophysiology Branch National Institute of Mental Health Bethesda MD United States University of Antwerp Belgium Department of Psychiatry Leiden University Medical Center Netherlands Department of Psychology University of Marburg Germany Institute for Translational Psychiatry University of Münster Germany University of Marburg Germany

Understanding how neural dynamics shape cognitive experiences remains a central challenge in neuroscience and psychiatry. Here, we present a novel framework leveraging state-to-output controllability from dynamical systems theory to model the interplay between cognitive perturbations, neural activity, and subjective experience. We demonstrate that large-scale fMRI signals are constrained to low-dimensional manifolds, where affective and cognitive states are naturally organized. Furthermore, we provide a theoretically robust method to estimate the controllability Gramian from steady-state neural responses, offering a direct measure of the energy required to steer cognitive outcomes. In five healthy participants viewing 2,185 emotionally evocative short videos, our analyses reveal a strong alignment between neural activations and affective ratings, with an average correlation of r ≈ 0.7. In a clinical cohort of 255 patients with major depressive disorder, biweekly Hamilton Rating Scale trajectories over 11 weeks significantly mapped onto these manifolds, explaining approximately 20% more variance than chance (p −10, numerically better than chance in 93% reaching statistical significance in one-third of subjects). Our work bridges dynamical systems theory and clinical neuroscience, providing a principled approach to optimize mental health treatments by targeting the most efficient neural pathways for cognitive change. © 2025, CC BY-NC-SA.

关键词： System theory

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Genetic programming with Incremental Learning for Grammatical Inference

Genetic Programming with Incremental Learning for Grammatica...

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International Conference on Hybrid Intelligent Systems (HIS)

作者： Ernesto Rodrigues Heitor Silverio Lopes Graduate Program in Electrical Engineering and Computer Science Federal University of Technology of Paraná (UTFPR) Curitiba Brazil

We present an evolutionary algorithm for the inference of context-free grammars from positive and negative examples. The algorithm is based on genetic programming and uses a local optimization operator that is capable of improving the learning task. Ordinary genetic operators are modified so as to bias the search. The system was evaluated using Tomitas language examples and results were compared with another similar approach. Results show that the proposed approach is promising and more robust than the other one.

关键词： Grammar Production Genetic programming Sociology Statistics Inference algorithms

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Optical OFDM transmission based on phase modulation and fiber bragg grating

Optical OFDM transmission based on phase modulation and fibe...

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IEEE/LEOS International Conference on Optical MEMS

作者： Paulo de Tarso Neves Junior Luis Carlos Vieira Alexandre de Almeida Prado Pohl Graduate Program in Electrical and Computer Engineering (CPGEI) Federal University of Technology - Paraná (UTFPR) Curitiba Brazil

In this work, we propose an optical OFDM system using phase modulation followed by optical filtering and direct detection. A fiber Bragg grating is used as an optical filter for phase to amplitude conversion. The performance of the proposed system is investigated for both 16 QAM- and 64 QAM-OFDM signals considering different numbers of training signals for frequency-domain channel estimation. With adequate choice of the training sequence length, BER results below 10 −4 are reported for the 16 QAM based signal.

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Simulating the transport of heavy oil derivatives in a Brazilian pipeline network

Simulating the transport of heavy oil derivatives in a Brazi...

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IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Lucas Bueno Guilherme Schnirmann William Hitoshi Tsunoda Meira Suelen Neves Boschetto Magatão Leandro Magatão Flávio Neves Lúcia Valéria Ramos de Arruda Graduate Program in Electrical and Computer Engineering (CPGEI) Federal University of Technology - Paraná (UTFPR) Curitiba PR Brazil Graduate Program in Electrical and Computer Engineering (CPGEI) Federal University of Technology Brazil

A simulation model for a Brazilian pipeline network used to transport heavy oil derivatives is presented. The network has four refineries, three intermediate depots, a harbor and seven pipelines. The transport is influenced by supply needs and operational constraints. The network schedule is generated online by a simulation model. The objectives are to generate the schedule in accordance with a nondeterministic arrival of ships and to compare this schedule with the one generated by a hybrid approach that combines optimization and simulation techniques. With the simulation-only approach herein proposed, the pipelines are modeled as continuous flow entities. The obtained results allow the validation of different probability distributions for the arrival of ships and they indicate the differences of both approaches: the hybrid and the simulation-only.

关键词： Pipelines Marine vehicles Optimization Schedules Oils Adaptation models Transportation

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Virtual instrumentation interfaces for real-time control and display of electric machine drives

Virtual instrumentation interfaces for real-time control and...

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2008 ASEE Annual Conference and Exposition

作者： Sundaram, Ramakrishnan Mak, Fong Tandle, Sunil Gannon University Department of Electrical and Computer Engineering Gannon University Gannon/GE Transportation Embedded System Graduate Program

No abstract available

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A blind deconvolution approach to discontinuity location and characterization in ultrasonic nondestructive testing

A blind deconvolution approach to discontinuity location and...

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European Signal Processing Conference (EUSIPCO)

作者： Giovanni A. Guarneri Daniel R. Pipa Flávio Neves Lúcia V. R. de Arruda Graduate Program in Electrical Engineering (PPGEE) Federal University of Technology - Paraná (UTFPR) Pato Branco Paraná Brazil Graduate Program in Electrical and Computer Engineering (CPGEI) Federal University of Technology - Paraná (UTFPR) Curitiba Paraná Brazil

This paper presents a new algorithm for discontinuity location and characterization using A-scan signals from an ultrasonic inspection system. The algorithm is based on solving an inverse problem in which the observation model is different from that traditionally used. In this model, the input vector represents the location of the geometrical center of the discontinuity and the scattering amplitude of the discontinuity is embedded in the impulse response of the ultrasonic inspection system. First, we jointly estimate the locations and the scattering amplitudes of the discontinuities from the acquired signals. Then, the geometrical parameters of the discontinuities are calculated from the estimated scattering amplitude. The method is tested to characterize side-drilled holes using both synthetic and real data. The results demonstrates the effectiveness of the algorithm.

关键词： Signal processing algorithms Synchronous digital hierarchy Scattering Transducers Acoustics Approximation algorithms Europe

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Real Time Chest X-Ray Interpretation Applying Vision Transformer for Tuberculosis Detection

Real Time Chest X-Ray Interpretation Applying Vision Transfo...

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2024 International Conference on computer engineering, Network and Intelligent Multimedia, CENIM 2024

作者： Irhamsyah, Muhammad Roslidar Yunidar Al Lail Qadrillah, M. Nasaruddin Arnia, Fitri Munadi, Khairul Universitas Syiah Kuala Post Graduate Program in Engineering Banda Aceh2311 Indonesia Faculty of Engineering Department of Electrical and Computer Engineering 2311 Indonesia

ISBN: (纸本)9798350368802

Tuberculosis (TB) is an infectious disease that can attack the lungs and other organs. In the diagnosis of TB, the interpretation of X-ray radiological images requires special skills from medical specialists. However, the lack of experience of medical personnel and focus on X-ray examinations can be a challenge for radiologists because it has the potential to cause diagnostic errors in image interpretation. Therefore, we proposed a web-based application of real-time chest X-ray interpreter by integrating the deep learning model of Vision Transformer (ViT) to interpret chest X-ray images. The inference model was trained and tested on 652 normal and 652 tuberculosis X-ray images. The data preprocessing of Contrast Adaptive Histogram Equalization (CLAHE) was implemented to increase chest X-ray image contrast as well as inference model performance. The proposed real time system can inteprete the tested chest x-ray images with an accuracy of 95% and with simulation duration time of 4.7 seconds. © 2024 IEEE.

关键词： Diagnosis

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