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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
openaire +7 more sources
Combinations of Adaptive Filters: Performance and convergence properties [PDF]
Adaptive filters are at the core of many signal processing applications, ranging from acoustic noise supression to echo cancelation [1], array beamforming [2], channel equalization [3], to more recent sensor network applications in surveillance, target ...
J. Arenas-García +4 more
semanticscholar +1 more source
Meta-AF: Meta-Learning for Adaptive Filters [PDF]
Adaptive filtering algorithms are pervasive throughout signal processing and have had a material impact on a wide variety of domains including audio processing, telecommunications, biomedical sensing, astrophysics and cosmology, seismology, and many more.
Jonah Casebeer +2 more
semanticscholar +1 more source
Efficient FPGA Implementation of Recursive Least Square Adaptive Filter Using Non- Restoring Division Algorithm [PDF]
In this paper, Recursive Least Square (RLS) and Affine Projection (AP) adaptive filters are designed using Xilinx System Generator and implemented on the Spartan6 xc6slx16- 2csg324 FPGA platform.
Harith H. Thannoon, Ivan A. Hashim
doaj +1 more source
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.
Kari, Dariush +4 more
openaire +4 more sources
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
doaj +1 more source
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
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source
Adaptive acoustooptic filter [PDF]
A new adaptive filter utilizing acoustooptic devices in a space integrating architecture is described. Two configurations are presented; one of them, suitable for signal estimation, is shown to approximate the Wiener filter, while the other, suitable for detection, is shown to approximate the matched filter.
D, Psaltis, J, Hong
openaire +2 more sources

