Results 11 to 20 of about 1,517,624 (291)
Robust adaptive filtering algorithms based on (inverse)hyperbolic sine function. [PDF]
PLoS ONE, 2021 Recently, adaptive filtering algorithms were designed using hyperbolic functions, such as hyperbolic cosine and tangent function. However, most of those algorithms have few parameters that need to be set, and the adaptive estimation accuracy and ...
Sihai Guan +3 more
doaj +2 more sources
Adaptive Square-Root Unscented Particle Filtering Algorithm for Dynamic Navigation
Sensors, 2018 This paper presents a new adaptive square-root unscented particle filtering algorithm by combining the adaptive filtering and square-root filtering into the unscented particle filter to inhibit the disturbance of kinematic model noise and the instability
Yongmin Zhong, Chengfan Gu, Gaoge Hu
exaly +3 more sources
Improving the Efficiency of Electric Rolling Stock Operation Through the Use of Adaptive Filtering Methods for High Harmonic Current Components in Traction Drive Systems [PDF]
Problems of the Regional Energetics, 2023 The aim of this work is to investigate the efficiency of various adaptive filtering methods for higher harmonic components of stator currents in a vector-controlled traction drive system to improve the operation efficiency of electric rolling stock.
Goolak S.
doaj +1 more source
On Implementation and Design of Filter Banks for Subband Adaptive Systems [PDF]
, 1998 This paper introduces a polyphase implementation and design of an oversampled K-channel generalized DFT (GDFT) filter bank, which can be employed for subband adaptive filtering, and therefore is required to have a low aliasing level in the subband ...
Weiss, Stephan +11 more
core +5 more sources
Efficient subband adaptive filtering with oversampled GDFT filter banks [PDF]
, 1997 This paper addresses the numerical efficiency of adaptive filtering implemented in subbands. Our approach first focuses on oversampled GDFT (generalized DFT) filter banks and their potential benefits over other possible subband decompositions.
Weiss, Stephan +2 more
core +4 more sources
An approach to adaptive filtering with variable step size based on geometric algebra
IET Communications, 2022 Recently, adaptive filtering algorithms have attracted much more attention in the field of signal processing. By studying the shortcoming of the traditional real‐valued fixed step size adaptive filtering algorithm, this paper proposed the novel approach ...
Haiquan Wang +3 more
doaj +1 more source
Combinations of Adaptive Filters
CoRR, 2021 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
openaire +3 more sources
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
openaire +6 more sources
Robust adaptive estimators for nonlinear systems [PDF]
, 2013 This paper is concerned with the development of new adaptive nonlinear estimators which incorporate adaptive estimation techniques for system noise statistics with the robust technique.
R. Katebi +3 more
core +4 more sources
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
openaire +2 more sources