Results 1 to 10 of about 3,413 (211)

An Identification Method of Melting Layer Using the Covariance Wavelet Transform Based on GPM‐DPR Observations [PDF]

Earth and Space Science, 2022
A knowledge of melting layer (ML) is crucial for studying precipitation and hydrometeor. Based on the measurements of dual‐frequency ratio (DFRm) from the dual‐frequency precipitation radar on board the Global Precipitation Measurement satellite, we use ...
Junqi Qiao, Weihua Ai, Xiong Hu, Maohong Liu, Shensen Hu   +4 more
doaj   +3 more sources

Retrieval of the planetary boundary layer height from lidar measurements by a deep-learning method based on the wavelet covariance transform

Optics Express, 2022
Understanding and characterization of the planetary boundary layer (PBL) are of great importance in terms of air pollution management, weather forecasting, modelling of climate change, etc. Although many lidar-based approaches have been proposed for the retrieval of the PBL height (PBLH) in case studies, development of a robust lidar-based algorithm ...
Liang, Mei, Xiaoqi, Wang, Zhenfeng, Gong, Kun, Liu, Dengxin, Hua, Xiaona, Wang   +5 more
openaire   +3 more sources

Lidar measurements and wavelet covariance transform method to estimate the atmospheric boundary layer heights in Medellín, Colombia

Optica Pura y Aplicada, 2014
The Atmospheric Boundary Layer (ABL) includes the portion of the atmosphere which is directly influenced by the presence of the Earth´s surface, and usually has much higher aerosol concentration than free troposphere above. Lidar system measures the intensity of backscattered light mainly from aerosol particles as a function of distance.
Daniel Nisperuza
openaire   +2 more sources

Recognition of EEG Features in Autism Disorder Using SWT and Fisher Linear Discriminant Analysis [PDF]

Diagnostics
Background/Objectives: An ASD diagnosis from EEG is challenging due to non-stationary, low-SNR signals and small cohorts. We propose a compact, interpretable pipeline that pairs a shift-invariant Stationary Wavelet Transform (SWT) with Fisher’s Linear ...
Fahmi Fahmi, Melinda Melinda, Prima Dewi Purnamasari, Elizar Elizar, Aufa Rafiki   +4 more
doaj   +2 more sources

An Interpretable Method for Asphalt Pavement Skid Resistance Performance Evaluation Under Sand-Accumulated Conditions Based on Multi-Scale Fractals [PDF]

Sensors
The skid resistance of asphalt pavement is vital for traffic safety and reducing accidents. Existing research using only wavelet transforms or fractal theory to study the pavement surface texture-skid resistance relationship has limitations.
Yuhan Weng, Zhaoyun Sun, Huiying Liu, Yingbin Gu   +3 more
doaj   +2 more sources

Channel component correlation analysis for multi-channel EEG feature component extraction [PDF]

Frontiers in Neuroscience
IntroductionElectroencephalogram (EEG) analysis has shown significant research value for brain disease diagnosis, neuromodulation and brain-computer interface (BCI) application.
Wenqiang Yan, Wenqiang Yan, Qi Luo, Chenghang Du   +3 more
doaj   +2 more sources

Evaluation of spatial–temporal characteristics of precipitation using discrete maximal overlap wavelet transform and spatial clustering tools

Hydrology Research, 2021
In the present study, classical and proposed methods were used to investigate the monthly precipitation characteristics of 30 stations in the southeastern United States during 1968–2018. Maximal overlap discrete wavelet transform (MODWT) as preprocessing
Kiyoumars Roushangar, Mohsen Moghaddas, Roghayeh Ghasempour, Farhad Alizadeh   +3 more
doaj   +1 more source

Spectral diagonal ensemble Kalman filters [PDF]

Nonlinear Processes in Geophysics, 2015
A new type of ensemble Kalman filter is developed, which is based on replacing the sample covariance in the analysis step by its diagonal in a spectral basis.
I. Kasanický, J. Mandel, M. Vejmelka
doaj   +1 more source

Gain-Phase Error-Calibrated Piezoelectric Sensor Array-Based Impact Localization on Stiffened Curved Composite Structures

Sensors, 2022
Stiffened structure-induced gain-phase errors degrade the performance of the high-resolution two-dimensional multiple signal classification (2D-MUSIC) algorithm, which makes it impossible to ensure the high accuracy of impact localization results.
Zhiling Wang, Jinyu Zhou, Yongteng Zhong, Chaoyue Li   +3 more
doaj   +1 more source

Multi-Resolution Discrete Cosine Transform Fusion Technique Face Recognition Model

Data, 2022
This work presents a Multi-Resolution Discrete Cosine Transform (MDCT) fusion technique Fusion Feature-Level Face Recognition Model (FFLFRM) comprising face detection, feature extraction, feature fusion, and face classification.
Bader M. AlFawwaz, Atallah AL-Shatnawi, Faisal Al-Saqqar, Mohammad Nusir   +3 more
doaj   +1 more source