Results 51 to 60 of about 5,059,929 (339)
Application of Improved Sage-Husa Algorithm in SINS/GPS Integrated Navigation
Journal of Harbin University of Science and TechnologyTo 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
Applied 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
Generalized Complex Correntropy: Application to Adaptive Filtering of Complex Data
IEEE Access, 2018 Adaptive filtering for complex data has received more attentions recently. As a similarity measure for the complex random variables, complex correntropy has been shown robustness in the design of adaptive filter.
Guobing Qian, Shiyuan Wang
semanticscholar +1 more source
An Adaptive Unscented Kalman Filtering Algorithm for MEMS/GPS Integrated Navigation Systems
Journal 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
Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments [PDF]
Journal of the Franklin Institute, 2015 Sparse adaptive channel estimation problem is one of the most important topics in broadband wireless communications systems due to its simplicity and robustness.
Wentao Ma +5 more
semanticscholar +1 more source
Adaptive two-pass rank order filter to remove impulse noise in highly corrupted images [PDF]
, 2004 This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services. Internal or personal use of this material is permitted.
Dongbin Chen +4 more
core +2 more sources
Ship Radiated Noise Line Spectrum Enhancement Based on Adaptive Filtering-Deep Learning Fusion
水下无人系统学报To address the challenge of identifying line spectrum features of ship radiated noise in complex underwater acoustic environments, a line spectrum enhancement model combining adaptive filtering and deep learning(DL) was proposed.
Tingting CAI, Sunze YU, Mei ZHAO
doaj +1 more source
Local Adaptive Image Filtering Based on Recursive Dilation Segmentation
Sensors, 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
FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Energy Disaggregation via Adaptive Filtering
, 2013 The energy disaggregation problem is recovering device level power consumption signals from the aggregate power consumption signal for a building. We show in this paper how the disaggregation problem can be reformulated as an adaptive filtering problem ...
Dong, Roy +3 more
core +1 more source