Results 151 to 160 of about 96,830 (337)

Topology Optimization Enables Freeform Matrix Fourier Optics

Advanced Optical Materials, EarlyView.
A topology‐optimized freeform metasurface is designed and fabricated to realize matrix Fourier optics, enabling the diffraction of multiple polarization states into distinct far‐field orders. By combining forward design with gradient‐based inverse optimization, high polarization contrast of up to 98.7% is achieved.
Yu‐Tzu Liu, Yun‐Chien Wu, Chang‐Yi Lin, Huan‐Teng Su, Yu‐Qi Zhou, Yao‐Wei Huang   +5 more
wiley   +1 more source

Feature Extraction of 3T3 Fibroblast Microtubule Based on Discrete Wavelet Transform and Lucy-Richardson Deconvolution Methods. [PDF]

Micromachines (Basel), 2022
Bai H, Che B, Zhao T, Zhao W, Wang K, Zhang C, Bai J.   +6 more
europepmc   +1 more source

Exact Reconstruction Algorithms for the Discrete Wavelet Transform Using Spline Wavelets

, 1995
Tor Berger, Jan Olov Strömberg
openalex   +1 more source

VLSI architecture for discrete wavelet transform based on B-spline factorization [PDF]

, 2004
Chao-Tsung Huang, Po-Chih Tseng, Liang‐Gee Chen   +2 more
openalex   +1 more source

Improvements in the Wavelet Transform and Its Variations: Concepts and Applications in Diagnosing Gearbox in Non-Stationary Conditions

Applied Sciences
Wavelet transform is a powerful time-frequency-based analysis method often used in gear fault diagnostics. The development of wavelet transform is closely linked to the improvement of resolution.
Trong-Du Nguyen, Phong-Dien Nguyen
doaj   +1 more source

Review of Coherent Anti‐Stokes Raman Scattering Nonresonant Background Removal and Phase Retrieval Approaches: From Experimental Methods to Deep Learning Algorithms

Advanced Photonics Research, EarlyView.
Coherent anti‐stokes Raman spectroscopy (CARS) enables high‐resolution vibrational imaging, yet non‐resonant background (NRB) distorts spectral fidelity. This review highlights NRB removal methods—from experimental strategies and numerical algorithms to emerging deep learning techniques.
Rajendhar Junjuri, Thomas Bocklitz
wiley   +1 more source

Supervised Machine-Learning Methodology for Industrial Robot Positional Health Using Artificial Neural Networks, Discrete Wavelet Transform, and Nonlinear Indicators. [PDF]

Sensors (Basel), 2023
Galan-Uribe E, Amezquita-Sanchez JP, Morales-Velazquez L.   +2 more
europepmc   +1 more source

Effect of Nanoparticle Distribution on Photothermal Absorption in Binary Mixtures of Colloidal Supraballs

Advanced Photonics Research, EarlyView.
This work combines molecular dynamics and finite‐difference time‐domain computational approaches to study the photothermal properties of melanin nanoparticle–based supra‐assemblies. Based on the results of this study, the binary mixtures of melanin and silica with higher concentrations of melanin and with more segregated levels of mixing are able to ...
Hanieh Mohsenzadeh Hedeshi, Anvay Patil, Christian M. Heil, Nitant Gupta, Shahrzad Dehghani, Arthi Jayaraman, Ali Dhinojwala   +6 more
wiley   +1 more source

Evaluating Monthly Flow Prediction Based on SWAT and Support Vector Regression Coupled with Discrete Wavelet Transform. [PDF]

Water (Basel), 2022
Yuan L, Forshay KJ.
europepmc   +1 more source

Wavelet Method for Locally Stationary Seasonal Long Memory Processes [PDF]

Long memory processes have been extensively studied over the past decades. When dealing with the financial and economic data, seasonality and time-varying long-range dependence can often be observed and thus some kind of non-stationarity can exist inside
Dominique Guegan, Zhiping Lu
core