Results 151 to 160 of about 28,052 (308)

Intelligent Extraction of Salient Feature From Electroencephalogram Using Redundant Discrete Wavelet Transform. [PDF]

Front Neurosci, 2022
Wang XY, Li C, Zhang R, Wang L, Tan JL, Wang H.   +5 more
europepmc   +1 more source

Using wavelets for time series forecasting: Does it pay off? [PDF]

By means of wavelet transform a time series can be decomposed into a time dependent sum of frequency components. As a result we are able to capture seasonalities with time-varying period and intensity, which nourishes the belief that incorporating the ...
Schlüter, Stephan, Deuschle, Carola
core  

Comments on "phase-shifting for nonseparable 2-D haar wavelets" [PDF]

, 2009
In their recent paper, Alnasser and Foroosh derive a wavelet-domain (in-band) method for phase-shifting of 2-D "nonseparable" Haar transform coefficients. Their approach is parametrical to the (a priori known) image translation.
Andreopoulos, Y
core  

Simultaneous Wastewater‐to‐Hydrogen Upgrading via Mechanically Driven Piezocatalysis Over Ag‐ZnO Nanorods

Advanced Science, EarlyView.
A piezocatalytic strategy enables simultaneous wastewater purification and hydrogen generation by harnessing mechanical energy. Complementary piezo‐induced charges are selectively directed toward oxidation and reduction pathways, achieving efficient pollutant degradation and continuous H2 evolution.
Yiqing Wei, Jianghai Huang, Yejunchi Zhang, Yang Wang, Dongmei Li, Chaogang Ban, Peng Yu, Jiangping Ma, Zhenxiang Cheng   +8 more
wiley   +1 more source

Circulant Singular Spectrum Analysis and Discrete Wavelet Transform for Automated Removal of EOG Artifacts from EEG Signals. [PDF]

Sensors (Basel), 2023
Yedukondalu J, Sharma LD.
europepmc   +1 more source

Hyperanalytic denoising [PDF]

, 2007
A new threshold rule for the estimation of a deterministic image immersed in noise is proposed. The full estimation procedure is based on a separable wavelet decomposition of the observed image, and the estimation is improved by introducing the new ...
Olhede, SC
core  

Unraveling the Power of Disorder: A Bioinspired Cuttlebone Structure With Superior Strength, Energy Absorption and Isotropy

Advanced Science, EarlyView.
Cuttlebone‐inspired architected metamaterials introduce controlled structural disorder to simultaneously enhance strength, energy absorption, and compressive stability. Tunable disorder suppresses shear anisotropy, outperforms periodic lattices, and establishes discrete randomness as a robust route to high‐performance lightweight mechanical ...
Zengqin Shi, Peng Jiang, Xiaoyan Zhu, Suyun Li, Wenqing Wang, Tian Zhao, Rujie He, Ying Li   +7 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

Metasurface‐Enabled Active‐Like Passive Radar

Advanced Science, EarlyView.
A programmable space‐time‐coding metasurface embeds distinct spatiotemporal tags into ambient wireless signals, allowing passive radar to operate in an active‐like manner. By enabling code‐correlated reconstruction under interference, the approach supports robust real‐time UAV tracking in complex environments and points to intelligent, low‐power ...
Mingyi Li, Jiawen Xu, Hanting Zhao, Xu Zhao, Yanjin Chen, Tie Jun Cui, Vincenzo Galdi, Lianlin Li   +7 more
wiley   +1 more source

Detection of Parkinson's disease from EEG signals using discrete wavelet transform, different entropy measures, and machine learning techniques. [PDF]

Sci Rep, 2022
Aljalal M, Aldosari SA, Molinas M, AlSharabi K, Alturki FA.   +4 more
europepmc   +1 more source