Results 41 to 50 of about 43,839 (225)

Wavelets in mathematical physics: q-oscillators

, 2003
We construct representations of a q-oscillator algebra by operators on Fock space on positive matrices. They emerge from a multiresolution scaling construction used in wavelet analysis.
Anna Paolucci, Bozejko M, Bratteli O, Bratteli O, Bratteli O, Chari V, Daubechies I, Jorgensen P E T, Jorgensen P E T, Jorgensen P E T, Palle E T Jorgensen, Sneddon I, Swarttouw R F, Swarttouw R F, Werner R F   +14 more
core   +1 more source

A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients

Entropy, 2014
The characterization of the dynamics associated with electroencephalogram (EEG) signal combining an orthogonal discrete wavelet transform analysis with quantifiers originated from information theory is reviewed.
Mariel Rosenblatt, Alejandra Figliola, Gustavo Paccosi, Eduardo Serrano, Osvaldo A. Rosso   +4 more
doaj   +1 more source

Predicting Stock Movements: Using Multiresolution Wavelet Reconstruction and Deep Learning in Neural Networks

Information, 2021
Stock movement prediction is important in the financial world because investors want to observe trends in stock prices before making investment decisions. However, given the non-linear non-stationary financial time series characteristics of stock prices,
Lifang Peng, Kefu Chen, Ning Li
doaj   +1 more source

Hermite Transform Based Algorithm for Detection and Classification of High Impedance Faults

IEEE Access, 2022
This work proposes a new algorithm to classify high impedance faults (HIFs) in distribution systems. HIFs can be represented by small current magnitudes with non-linear variations, which complicate their detection in distribution grids.
Daniel Guillen, Jimena Olveres, Vicente Torres-Garcia, Boris Escalante-Ramirez   +3 more
doaj   +1 more source

Relationships among Interpolation Bases of Wavelet Spaces and Approximation Spaces [PDF]

, 2012
A multiresolution analysis is a nested chain of related approximation spaces.This nesting in turn implies relationships among interpolation bases in the approximation spaces and their derived wavelet spaces.
Kon, Mark A., Zhang, Zhiguo
core  

Adaptive multiresolution schemes with local time stepping for two-dimensional degenerate reaction-diffusion systems

, 2008
We present a fully adaptive multiresolution scheme for spatially two-dimensional, possibly degenerate reaction-diffusion systems, focusing on combustion models and models of pattern formation and chemotaxis in mathematical biology.
Baier, Ricardo Ruiz, Bendahmane, Mostafa, Bürger, Raimund, Schneider, Kai   +3 more
core   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

WMR-DepthwiseNet: A Wavelet Multi-Resolution Depthwise Separable Convolutional Neural Network for COVID-19 Diagnosis

Diagnostics, 2022
Timely discovery of COVID-19 could aid in formulating a suitable treatment plan for disease mitigation and containment decisions. The widely used COVID-19 test necessitates a regular method and has a low sensitivity value. Computed tomography and chest X-
Happy Nkanta Monday, Jianping Li, Grace Ugochi Nneji, Md Altab Hossin, Saifun Nahar, Jehoiada Jackson, Ijeoma Amuche Chikwendu   +6 more
doaj   +1 more source

Dual‐Scale Transformer Fusion With Meta Learning for Micro Metastasis Detection in Thyroid Cancer

Advanced Intelligent Systems, EarlyView.
A dual‐scale transformer model enhanced by meta‐learning enables accurate detection of tiny metastatic lesions in thyroid cancer. By combining cellular and tissue‐level features, the method outperforms existing models and shows strong adaptability to rare cases with limited data.
Jingtao Wang, Junhai Shi, Hengli Ni, Limei Zhao, Jing Huang, Jianming Li   +5 more
wiley   +1 more source

Automated Feature Extraction and Classification of Submerged Cultural Heritage Assets in the Puck Lagoon via Multisensor Remote Sensing

Archaeological Prospection, EarlyView.
ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski, Andrzej Pydyn, Mateusz Popek, Anna M. Kotarba‐Morley, Paweł Tysiąc   +4 more
wiley   +1 more source