Results 181 to 190 of about 27,924 (308)
Correction: A hybrid approach for regionalization of precipitation based on maximal discrete wavelet transform and growing neural gas network clustering. [PDF]
Tao X, Ben M, Xuan HCY, Arshaghi A.
europepmc +1 more source
Biological rhythms coordinate physiology, from genes to behavior. Study of circadian rhythms in brain tissue is constrained by limited throughput and spatial and temporal information quality. A new platform for high‐throughput, long‐term multiplexed fluorescent live imaging of circadian rhythms in brain slices is introduced.
Marco Ferrari +3 more
wiley +1 more source
A hybrid approach for regionalization of precipitation based on maximal discrete wavelet transform and growing neural gas network clustering. [PDF]
Tao X, Ben M, Xuan HCY, Arshaghi A.
europepmc +1 more source
Nuclear mechanical properties are inherently scale‐dependent, arising from a hierarchical architecture that spans DNA, chromatin, the nuclear envelope, and condensates. Experimental techniques and theoretical models are integrated into a cohesive multiscale framework linking nanoscale structural features to organelle‐level mechanical behavior.
Xinran Liu +15 more
wiley +1 more source
A two-factor model for electricity prices with dynamic volatility [PDF]
The wavelet transform is used to identify a biannual and an annual seasonality in the Phelix Day Peak and to separate the long-term trend from its short-term motion.
Schlüter, Stephan
core
Multidimensional Quantification of Macular Cone Activity in Pattern Electroretinography Using Discrete Wavelet Transform. [PDF]
Shwetar YJ, Haendel MA.
europepmc +1 more source
Wavefront Line‐Scan Imaging Via a Single‐Pixel Detector
We propose and demonstrate a wavefront line‐scan imaging paradigm that integrates 1D spatial light modulation with single‐pixel detection. Benefiting from 1D modulation, not only is the imaging speed improved, but also the storage of modulation patterns is reduced by several orders of magnitude.
Nuo Liu +4 more
wiley +1 more source
Comments on "phase-shifting for nonseparable 2-D haar wavelets"
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
Degradation Prediction of PEMFCs Based on Discrete Wavelet Transform and Decoupled Echo State Network. [PDF]
Sun J +7 more
europepmc +1 more source
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 +7 more
wiley +1 more source

