Results 291 to 300 of about 4,986,765 (359)
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On adaptive IIR filters and parallel adaptive identifiers with adaptive error filtering
ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005Presently, for provable global stability and unbiasedness in the presence of zero-mean, colored output measurement noise, adaptive infinite impulse response (IIR) filters (or adaptive output error identifiers) require a restrictive SPR condition on the transfer function dividing the error smoothing coefficient polynomial by the unknown desired ...
C. Richard Johnson Jr. +3 more
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Secure Adaptive-Event-Triggered Filter Design With Input Constraint and Hybrid Cyber Attack
IEEE Transactions on Cybernetics, 2020The problem of secure adaptive-event-triggered filter design with input constraint and hybrid cyber attack is investigated in this article. First, a new model of hybrid cyber attack, which considers a deception attack, a replay attack, and a denial-of ...
Jinliang Liu +4 more
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A Slide Window Variational Adaptive Kalman Filter
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2020A slide window variational adaptive Kalman filter is presented in this brief based on adaptive learning of inaccurate state and measurement noise covariance matrices, which is composed of the forward Kalman filtering, the backward Kalman smoothing, and ...
Yulong Huang +3 more
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Gaussian-Adaptive Bilateral Filter
IEEE Signal Processing Letters, 2020Recent studies have demonstrated that a bilateral filter can increase the quality of edge-preserving image smoothing significantly. Different strategies or mechanisms have been used to eliminate the brute-force computation in bilateral filters.
Bo-Hao Chen, Yi-Syuan Tseng, Jia-Li Yin
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Automatica, 1969
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Adaptive Fixed-Time Control of Nonlinear MASs With Actuator Faults
IEEE/CAA Journal of Automatica Sinica, 2023The adaptive fixed-time consensus problem for a class of nonlinear multi-agent systems (MASs) with actuator faults is considered in this paper. To approximate the unknown nonlinear functions in MASs, radial basis function neural networks are used.
Hongru Ren +3 more
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IEEE Transactions on Information Forensics and Security, 2011
In an increasingly connected world, the protection of digital data when it is processed by other parties has arisen as a major concern for the general public, and an important topic of research. The field of Signal Processing in the Encrypted Domain (SPED) has emerged in order to provide efficient and secure solutions for preserving privacy of signals ...
Juan Ramón Troncoso-Pastoriza +1 more
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In an increasingly connected world, the protection of digital data when it is processed by other parties has arisen as a major concern for the general public, and an important topic of research. The field of Signal Processing in the Encrypted Domain (SPED) has emerged in order to provide efficient and secure solutions for preserving privacy of signals ...
Juan Ramón Troncoso-Pastoriza +1 more
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Energy, 2019
This paper focuses on the state of charge (SOC) estimation of a lithium-ion battery based on a fractional-order adaptive extended Kalman filter (FO-AEKF).
Qiao Zhu +3 more
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This paper focuses on the state of charge (SOC) estimation of a lithium-ion battery based on a fractional-order adaptive extended Kalman filter (FO-AEKF).
Qiao Zhu +3 more
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An adaptive transversal filter
ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005A real time electronically programmable transversal filter with parallel architecture is described. The device is capable of operating at sampling rates in excess of 500KHz while maintaining high dynamic range. The device is built around an analog delay line designed using operational amplifiers and switching circuitry.
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On Regularization in Adaptive Filtering
IEEE Transactions on Audio, Speech, and Language Processing, 2011Regularization plays a fundamental role in adaptive filtering. An adaptive filter that is not properly regularized will perform very poorly. In spite of this, regularization in our opinion is underestimated and rarely discussed in the literature of adaptive filtering. There are, very likely, many different ways to regularize an adaptive filter. In this
Jacob Benesty +2 more
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