Real-Time Transient Voltage and Frequency Sensing Strategy for Resilience Enhancement of PV-Storage Systems in Weak Grids. [PDF]
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Cascaded adaptive model predictive and PID control for integrated LFC-AVR enhancement. [PDF]
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This paper describes the adaptive deblocking filter used in the H.264/MPEG-4 AVC video coding standard. The filter performs simple operations to detect and analyze artifacts on coded block boundaries and attenuates those by applying a selected filter.
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Analysis on the adaptive filter based on LMS algorithm
Optik, 2016This article focuses on the application of adaptive filter based on the LMS algorithm. An adaptive filter of the closed-loop system is introduced, including the elimination of interference signal, the prediction of useful signal, and the approximation of
Zhen Zhu, Leilei Cao
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Logarithmic Hyperbolic Cosine Adaptive Filter and Its Performance Analysis
IEEE Transactions on Systems, Man & Cybernetics. Systems, 2021The hyperbolic cosine function with high-order errors can be utilized to improve the accuracy of adaptive filters. However, when initial weight errors are large, the hyperbolic cosine-based adaptive filter (HCAF) may be unstable.
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Design and analysis of improved high-speed adaptive filter architectures for ECG signal denoising
Biomedical Signal Processing and Control, 2021In this paper, improved high-speed adaptive filter-based denoising architectures are proposed and implemented using the Xilinx Virtex-6 series FPGA platform. The performance of the proposed DF-RDLMS, TDF-RDLMS and TF-RDLMS implementations is analyzed and
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A Robust Student’s t-Based Kernel Adaptive Filter
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2021In this brief, a kernel adaptive filter based on the Student’s ${t}$ distribution in the reproducing kernel Hilbert space (RKHS) is presented, which is distinct from the traditional kernel adaptive filtering algorithms as follows: first, a Student’s ${
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Telescoping Filter: A Practical Adaptive Filter
Embedded Systems and Applications, 2021Filters are small, fast, and approximate set membership data structures. They are often used to filter out expensive accesses to a remote set S for negative queries (that is, filtering out queries x ∉ S).
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