Results 11 to 20 of about 4,986,765 (359)
Adaptive Debanding Filter [PDF]
IEEE Signal Processing Letters, 2020 Banding artifacts, which manifest as staircase-like color bands on pictures or video frames, is a common distortion caused by compression of low-textured smooth regions. These false contours can be very noticeable even on high-quality videos, especially when displayed on high-definition screens. Yet, relatively little attention has been applied to this
Zhengzhong Tu +4 more
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Adaptive δ-Generalized Labeled Multi-Bernoulli Filter for Multi-Object Detection and Tracking
IEEE Access, 2021 The δ-generalized labeled multi-Bernoulli (δ-GLMB) filter is an efficient approach for multiobject tracking in case of high clutter density and low detection probability.
Zong-Xiang Liu +3 more
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Communications, 2023 Adaptive algorithms are used in updating the filter coefficients for active noise cancellation applications in reduction of vehicle cabin noise. The performance of the adaptive algorithms in low-frequency noise cancellation depends on how efficiently it ...
Janak Kapoor +3 more
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Rejection of PSK interference in DS-SS/PSK system using adaptive transversal filter with conditional response recalculation [PDF]
Serbian Journal of Electrical Engineering, 2003 PSK interference rejection using complex adaptive filter with conditional response recalculation in DS-SS/PSK system is considered in this paper. New adaptive filter decreases error probability for several orders of magnitude when compared to the ...
Nikolić Zorica +2 more
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Play and Prune: Adaptive Filter Pruning for Deep Model Compression [PDF]
International Joint Conference on Artificial Intelligence, 2019 While convolutional neural networks (CNN) have achieved impressive performance on various classification/recognition tasks, they typically consist of a massive number of parameters.
Pravendra Singh +3 more
semanticscholar +1 more source
Boosted adaptive filters [PDF]
Digital Signal Processing, 2018 Abstract We introduce the boosting notion of machine learning to the adaptive signal processing literature. In our framework, we have several adaptive filtering algorithms, i.e., the weak learners, that run in parallel on a common task such as equalization, classification, regression or filtering.
Dariush Kari +4 more
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Detection Algorithm For Active Filters Based On Adaptive Inverse Control
Journal of Applied Science and Engineering, 2023 In order to accurately compensate the harmonics and reactive power of the active power filter, a paralleltype active filter detection algorithm based on adaptive inverse control is proposed to control and follow the DC capacitor voltage, obtain the ...
Longhai Fu
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Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems [PDF]
IEEE Transactions on Signal Processing, 2017 We present a framework for the simultaneous estimation of state and parameters of partially observed Boolean dynamical systems (POBDS). Simultaneous state and parameter estimation is achieved through the combined use of the Boolean Kalman filter and ...
Mahdi Imani, U. Braga-Neto
semanticscholar +1 more source
ACM Journal of Experimental Algorithmics, 2018 We introduce the adaptive cuckoo filter (ACF), a data structure for approximate set membership that extends cuckoo filters by reacting to false positives, removing them for future queries. As an example application, in packet processing queries may correspond to flow identifiers, so a search for an element is likely to be followed by repeated searches ...
Mitzenmacher M +2 more
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On the Relation Between Smooth Variable Structure and Adaptive Kalman Filter
Frontiers in Applied Mathematics and Statistics, 2020 This article is addressed to the topic of robust state estimation of uncertain nonlinear systems. In particular, the smooth variable structure filter (SVSF) and its relation to the Kalman filter is studied.
Mark Spiller, Dirk Söffker
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