Search Results - noise reduction algorithm

Dynamic weighing method for coal and gangue in coal-gangue sorting robots by CAO Xiangang, LIU Yizhe, WU Xudong, WANG Peng, ZHANG Ye

“…Furthermore, an outlier elimination mechanism based on the interquartile range (IQR) algorithm was introduced to suppress random noise in the dynamic weighing model. …”
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A Novel Deep Learner for Human Behavior Prediction Over Public Video Surveillance by Bayan Alabdullah, Bisma Batool Fatima, Haifa F. Alhasson, Mohammed Alshehri, Yahya AlQahtani, Nouf Albhassabi, Hui Liu

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Sea Clutter Suppression for Shipborne DRM-Based Passive Radar via Carrier Domain STAP by Yijia Guo, Jun Geng, Xun Zhang, Haiyu Dong

“…In addition, we combine the proposed algorithm with the dimensionality reduction algorithm to develop the Joint Domain Localized-Space Time Adaptive Processing by Carrier (JDL-STAP-C) algorithm. …”
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Shape Optimization of Multi-chamber Acoustical Plenums Using the BEM, Neural Networks, and the GA Method by Ying-Chun CHANG, Ho-Chih CHENG, Min-Chie CHIU, Yuan-Hung CHIEN

“…Most researchers have explored noise reduction effects based on the transfer matrix method and the boundary element method. …”
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A Rattle Signal Denoising and Enhancing Method Based on Wavelet Packet Decomposition and Mathematical Morphology Filter for Vehicle by Linyuan Liang, Shuming Chen, Peiran Li

“…Buzz, squeak and rattle (BSR) noise has become apparent in vehicles due to the significant reductions in engine noise and road noise. …”
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Online Identification of Mathematical Model of Circular Plate for Vibration Cancellation by Paweł KOS

“…This step removes mean values and high-frequency noise. The second order transfer function, obtained by using described identification algorithm, was implemented in procedure of designing the optimal PID controller for suppressing vibrations of the plate. …”
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KICA-DPCA-Based Fault Detection of High-Speed Train Traction Motor Bearings by Yunkai Wu, Yu Tian, Yang Zhou

“…Firstly, DPCA is utilized to thoroughly extract fault information from the dataset while simultaneously achieving the purpose of noise reduction. Secondly, KICA is combined to project the data into a high-dimensional feature space and extract independent components, thereby separating the data into two groups following Gaussian and non-Gaussian distributions. …”
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Digital three-stage recursive-separable image processing filter with variable sizes of scanning multielement aperture by A. V. Kamenskiy, T. M. Akaeva, D. A. Grebenshchikova

“…In order to evaluate the performance of the filter, a comparison of the developed algorithm with the classical two-dimensional convolution algorithm was carried out. …”
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Analysis of injured-skin SS-OCT images based on combined attention UNet. by Xiyu Zheng, Jingyuan Wu, Qiong Ma, Diantao Luo, Qingyu Cai, Haiyang Sun, Hongxing Kang

“…To enhance image clarity, we applied noise reduction using the BM3D algorithm. We employed an improved UNet network model that incorporates SimAM and PSA modules, forming three attention mechanisms: TandemAT-UNet, ParallelAT-UNet, and NestedAT-UNet. …”
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Multi-fidelity modelling of a high bypass ratio turbofan engine with variable area nozzle by Andrea Magrini, Ernesto Benini

“…A preliminary acoustic evaluation based on semi-empirical noise models indicates a modest effect on noise emissions, with up to 1 dB reduction in microphone signature at the sideline for a nozzle area increased by 10%.…”
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The Combination of Spectrum Subtraction and Cross-power Spectrum Phase Method for Time Delay Estimation by Feng BIN, Xu LEI

“…Through theoretical analysis and MATLAB simulation, among the four common weighting functions, it is proved that the cross-power spectral phase weighting method has a good sharpening effect on the peak value of the cross-correlation function, and it is verified that the improved spectral subtraction method generally has a good noise reduction effect under different SNR environments. …”
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A visual positioning method for tunnel boring machines in underground coal mines based on anchor net features by Xuhui ZHANG, Yunkai CHI, Yuyang DU, Junying JIANG, Wenjuan YANG, Youjun ZHAO, Jicheng WAN, Yanqun WANG, Chenhui TIAN

“…The proposed method yielded a maximum error of 163 mm, indicating a 23.5% reduction compared to the 213 mm obtained using the PL-VINS algorithm. …”
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Reducing False Alarm in Target Sidelobes Using Time-Varying Trajectories in Range-Doppler Diagram With Conditional 3D-DCNN by Jiyeon Choi, Daegun Oh, Youngwook Kim

“…By adjusting a Gaussian filter in accordance with the target’s velocity in the suggested C-3D-DCNN structure, the algorithm distinguishes real targets from clutter, noise, and target sidelobes that appear along the Doppler axis. …”
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Development and Analysis of a Methodology for Selecting Infrastructure Metrics for Predictive Incident Monitoring by Andrew Egorkin

“…The growth of telemetry volume in distributed IT systems leads to "information noise" and increases the computational costs of AIOps platforms. …”
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Adaptive Modulation Tracking for High-Precision Time-Delay Estimation in Multipath HF Channels by Qiwei Ji, Huabing Wu

“…However, precise time-delay estimation in complex HF channels faces significant challenges from multipath fading, Doppler shifts, and noise. This paper proposes a Modulation Signal-based Adaptive Time-Delay Estimation (MATE) algorithm, which effectively decouples carrier and modulation signals and integrates phase-locked loop (PLL) and delay-locked loop (DLL) techniques. …”
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Neural network based active control of base isolated structure considering isolator nonlinearity by Nour Elhouda Ghanemi, Mahdi Abdeddaim, Abdelhafid Ounis, Michela Basili

“…The ANN-driven controller aims to achieve significant response reduction with fewer sensors than traditional algorithms while enhancing robustness against signal time delays and white noise contamination. …”
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Simulation of the image rejection phase method by R. R. Vishnyakov

“…Further improvement of selectivity, for example, by minimizing the phase and amplitude balances, or mutual compensation of the mixer and phase shifter branch imbalances are necessary, if there are requirements for increasing the signal-to-noise ratio. It is shown that it is possible to ensure selectivity of up to 25 dB and a noise level reduction of 2.5-3 dB if the amplitude imbalance of the circuit is up to 1 dB, and the phase imbalance is up to 5 deg. in the required frequency band.…”
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An Accurate and Low-Complexity Offset Calibration Methodology for Dynamic Comparators by Juan Cuenca, Benjamin Zambrano, Esteban Garzón, Luis Miguel Prócel, Marco Lanuzza

“…This is mainly because the window algorithm considers noise-induced output oscillations, ensuring consistent calibration across all designs. …”
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Transformer Oil Acid Value Prediction Method Based on Infrared Spectroscopy and Deep Neural Network by Linjie Fang, Chuanshuai Zong, Zhenguo Pang, Ye Tian, Xuezeng Huang, Yining Zhang, Xiaolong Wang, Shiji Zhang

“…The infrared spectral data of the transformer oil is acquired by ALPHA II FT-IR spectrometer, the high frequency noise effect of the spectrum is reduced by wavelet packet decomposition (WPD), and the bootstrapping soft shrinkage (BOSS) algorithm is used to extract the spectra with the highest correlation with the acid value content. …”
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Geoelectric structure of the Tar Fault Zone in the Middle Urals according to audiomagnetotelluric soundings by V. A. Davydov

“… Currently, the reduction of reserves and forecast resources of ore minerals due to the development of previously discovered deposits continues. …”
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