Results 11 to 20 of about 114,936 (246)
Scientific Reports, 2022 The adaptive block size processing method in different image areas makes block-matching and 3D-filtering (BM3D) have a very good image denoising effect. Based on these observation, in this paper, we improve BM3D in three aspects: adaptive noise variance ...
Hongbin Jia, Qingbo Yin, Mingyu Lu
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Single-Stage Adaptive Multi-Scale Point Cloud Noise Filtering Algorithm Based on Feature Information
Remote Sensing, 2022 This paper proposes a single-stage adaptive multi-scale noise filtering algorithm for point clouds, based on feature information, which aims to mitigate the fact that the current laser point cloud noise filtering algorithm has difficulty quickly ...
Zhen Zheng +5 more
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Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise
Sensors, 2018 This paper is concerned with the filtering problem caused by the inaccuracy variance of measurement noise in real nonlinear systems. A novel weighted fusion estimation method of multiple different variance estimators is presented to estimate the variance
Yuepeng Shi +4 more
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Sensors, 2010 In this paper, the fast least-mean-squares (LMS) algorithm was used to both eliminate noise corrupting the important information coming from a piezoresisitive accelerometer for automotive applications, and improve the convergence rate of the filtering ...
Eduardo Fernández +3 more
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An Alignment Method Based on KF-ASMUKF Hybrid Filtering for Ship’s SINS under Mooring Conditions
Sensors, 2021 To solve the problem that the ship’s strapdown inertial navigation system (SINS) alignment accuracy decreases with the increase of the nonlinear filtering state dimension under mooring conditions, a method based on Kalman filter (KF) and Adaptive scale ...
Pengchao Yao, Gongliu Yang, Xiafu Peng
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A New Adaptive H-Infinity Filtering Algorithm for the GPS/INS Integrated Navigation
Sensors, 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
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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
Wenhui Wei +4 more
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Sensors, 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
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Research on filtering of electromagnetic measurement while drilling signal in underground coal mine
Gong-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
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EURASIP 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
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