Artifact Free Signal Denoising With Wavelets
, 2001 Recent years have seen the development of signal denoising algorithms based on wavelet transform. It has been shown that thresholding the wavelet coefficients of a noisy signal allows to restore the smoothness of the original signal.
Sylvain Durand, Sylvain Durand Cmla
core
LRR-UNet: A Deep Unfolding Network With Low-Rank Recovery for EEG Signal Denoising. [PDF]
CNS Neurosci TherYue X, Lu L, Liu H, Zang Y.
europepmc +1 more source
Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns
Advanced Intelligent Discovery, EarlyView.Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer +6 more
wiley +1 more source
PDRNet: A Novel Physical Feature-Driven Residual Network for Motor Vibration Signal Denoising. [PDF]
Sensors (Basel)Yu K, Wu X, Yang M, Lin F, Liang Z.
europepmc +1 more source
Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets
Advanced Intelligent Discovery, EarlyView.An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh +4 more
wiley +1 more source
On Denoising Electrocardiogram Signals
ADVANCES IN ENGINEERING, SCIENCE AND TECHNOLOGY, 2019 Pascal Bedrossian +3 more
openaire +1 more source
Comparative evaluation of filtration techniques for ECG signal denoising with emphasis on stationary wavelet transform. [PDF]
Sci RepÁdám N +4 more
europepmc +1 more source
Majority‐Voting Overlapping Method for Error Correction in DNA Data Storage
Advanced Intelligent Discovery, EarlyView.We propose an overlapping‐based majority‐voting method for DNA data storage error correction. By aligning multiple reads and choosing the most frequent base per position, it suppresses substitution errors without prior models. Validated on synthetic and real sequencing data, it achieves high‐fidelity, scalable, and cost‐effective reconstruction ...
Thi Bich Ngoc Nguyen +5 more
wiley +1 more source
A Novel LiDAR Echo Signal Denoising Method Based on the VMD-CPO-IWT Algorithm. [PDF]
Sensors (Basel)Zha J +5 more
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source