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Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.092
Abstract: Abstract This paper is devoted to the problem of compensating for errors of nonlinear dynamical systems (DSs) between observation sessions. Such a problem is connected with the coordination of solutions of the nonlinear differential equations…
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Keywords:
inverse filtering;
filtering problem;
identification;
identification inverse ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2020.3048996
Abstract: In this paper, we focus on the inverse filtering method for restoring transient heat conduction processes. First, we address the defects of contact temperature sensor used in transient high temperature test, further we expand the…
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Keywords:
inverse filtering;
method;
transient high;
temperature ... See more keywords
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Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2914092
Abstract: Seismic wave will suffer from resolution loss during its propagation in subsurface media, which is caused by the earth filtering effect. Inverse Q-filtering (IQF) is an essential scheme for eliminating earth filtering effect and enhancing…
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Keywords:
resolution;
time;
domain inverse;
inverse filtering ... See more keywords
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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3449420
Abstract: Viscoelastic attenuation occurs when seismic waves propagate through subsurface media, significantly reducing the signal-to-noise ratio (SNR) and resolution, which severely impacts the application and interpretation of seismic records. Inverse Q filtering (IQF) compensates for this…
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Keywords:
inverse filtering;
power law;
frequency dependent;
frequency ... See more keywords
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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3458870
Abstract: Affected by near-surface absorption, seismic wave energy attenuation and phase distortion greatly reduce the resolution and signal-to-noise ratio (SNR) of seismic data, causing changes in seismic attributes much greater than other factors. Inverse Q filtering…
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Keywords:
inverse filtering;
resolution;
unsupervised learning;
network ... See more keywords
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Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.3019177
Abstract: Bayesian filtering deals with computing the posterior distribution of the state of a stochastic dynamic system given noisy observations. In this paper, motivated by applications in counter-adversarial autonomous systems, we consider the following inverse filtering…
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Keywords:
autonomous systems;
applications counter;
counter adversarial;
inverse filtering ... See more keywords
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Published in 2018 at "Informatica"
DOI: 10.15388/informatica.2018.159
Abstract: The Autoregressive model-based digital inverse filtering technique is applied in noninvasive detection of vocal fold paralysis. The vocal tract filter is modelled using variable order (up to 20) AR model which is adequate to individual…
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Keywords:
inverse filtering;
detection vocal;
vocal fold;
fold paralysis ... See more keywords