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Combinations of Adaptive Filters
Adaptive filters are at the core of many signal processing applications, ranging from acoustic noise supression to echo cancelation, array beamforming, channel equalization, to more recent sensor network applications in surveillance, target localization, and tracking.
Jerónimo Arenas-García +4 more
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Adaptive Debanding Filter [PDF]
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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Boosted adaptive filters [PDF]
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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In order to solve the problems of difficult control, poor stability, and low control precision in complex autonomous non‐linear systems, and some sensors have non‐linear errors in special environments.
Weibin Wu +7 more
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The three-phase DSTATCOM is prone to higher dynamics due to grid disturbances. The proportionate affine projection algorithm (PAPA) is an adaptive filter that can be used for DSTATCOM control.
Arobinda Dash +5 more
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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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Application of adaptive filters in rock separation by rotary drilling process identification [PDF]
Adaptive filters can be used for signal processing. Their utilization dwells in identifying an unknown system or process. The result of the adaptation process is finding an adaptive filter coefficient.
Patrik Flegner +3 more
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Adaptive Filtering Revisited [PDF]
This paper shows that the adaptive filtering and forecasting techniques proposed by Makridakis and Wheelwright can be viewed as approximations to a more precise filtering method in which the Kalman filter is applied to a dynamic autoregressive model which is a special case of the models of Harrison and Stevens.
Nau, Robert F, Oliver, Robert M
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Cellular automata-based approach for salt-and-pepper noise filtration
Application of cellular automata (CA) to digital image processing has achieved considerable attention in last several years. CA are now employed in noise filtration of digital images; particularly many CA-based impulse noise filters have been proposed ...
Zubair Jeelani, Fasel Qadir
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Possible solution of parallel FIR filter structure [PDF]
In this paper, a parallel form FIR adaptive filter structure with RLS (Recursive Least Squares) type adaptive algorithm is proposed. The proposed parallel form FIR structure consists of a recursive orthogonal transform stage and sparse FIR sub filters ...
Petrović Predrag
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