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Adaptive-FRESH Filtering [PDF]

open access: yes, 2011
Adaptive filters are self-designing systems for information extraction which rely for their operation on a recursive algorithm (Haykin, 2001). They find application in environments where the optimum filter cannot be applied because of lack of knowledge about the signal characteristics and/or the data to be processed.
Ojeda, Omar A. Yeste, Grajal, Jesús
openaire   +3 more sources

A New Adaptive H-Infinity Filtering Algorithm for the GPS/INS Integrated Navigation

open access: yesSensors, 2016
The Kalman filter is an optimal estimator with numerous applications in technology, especially in systems with Gaussian distributed noise. Moreover, the adaptive Kalman filtering algorithms, based on the Kalman filter, can control the influence of ...
Chen Jiang, Shu-Bi Zhang, Qiu-Zhao Zhang
doaj   +1 more source

Adaptive Square-Root Unscented Particle Filtering Algorithm for Dynamic Navigation

open access: yesSensors, 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
Wenhui Wei   +4 more
doaj   +1 more source

A Novel Adaptive H∞ Filtering Method with Delay Compensation for the Transfer Alignment of Strapdown Inertial Navigation Systems

open access: yesSensors, 2017
Transfer alignment is always a key technology in a strapdown inertial navigation system (SINS) because of its rapidity and accuracy. In this paper a transfer alignment model is established, which contains the SINS error model and the measurement model ...
Weiwei Lyu, Xianghong Cheng
doaj   +1 more source

Research on filtering of electromagnetic measurement while drilling signal in underground coal mine

open access: yesGong-kuang zidonghua, 2019
In view of problems of slow convergence speed and long computation time existed in electromagnetic wireless measurement while drilling (EM-MWD) signals extracted by adaptive filtering least mean square algorithm and recursive least squares algorithm, a ...
KANG Houqing
doaj   +1 more source

Research on geometric algebra-based robust adaptive filtering algorithms in wireless communication systems

open access: yesEURASIP Journal on Wireless Communications and Networking, 2022
Noise and interference are the two most common and basic problems in wireless communication systems. The noise in wireless communication channels has the characteristics of randomness and impulsivity, so the performance of adaptive filtering algorithms ...
Rui Wang   +3 more
doaj   +1 more source

Local Adaptive Image Filtering Based on Recursive Dilation Segmentation

open access: yesSensors, 2023
This paper introduces a simple but effective image filtering method, namely, local adaptive image filtering (LAIF), based on an image segmentation method, i.e., recursive dilation segmentation (RDS). The algorithm is motivated by the observation that for
Jialiang Zhang   +4 more
doaj   +1 more source

Application of Improved Sage-Husa Algorithm in SINS/GPS Integrated Navigation

open access: yesJournal of Harbin University of Science and Technology
To address the issues of low filtering accuracy and poor reliability encountered when employing the Sage-Husa adaptive filtering algorithm in combined navigation systems, an improved Sage-Husa adaptive filtering algorithm is proposed.
WEN Sheng   +3 more
doaj   +1 more source

Taxonomy of Vectorization Patterns of Programming for FIR Image Filters Using Kernel Subsampling and New One

open access: yesApplied Sciences, 2018
This study examines vectorized programming for finite impulse response image filtering. Finite impulse response image filtering occupies a fundamental place in image processing, and has several approximated acceleration algorithms.
Yoshihiro Maeda   +2 more
doaj   +1 more source

An Adaptive Unscented Kalman Filtering Algorithm for MEMS/GPS Integrated Navigation Systems

open access: yesJournal of Applied Mathematics, 2014
MEMS/GPS integrated navigation system has been widely used for land-vehicle navigation. This system exhibits large errors because of its nonlinear model and uncertain noise statistic characteristics.
Jianhua Cheng   +4 more
doaj   +1 more source

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