Results 91 to 100 of about 964,564 (291)

Orthogonality Conditions for Non-Dyadic Wavelet Analysis [PDF]

open access: yes
The conventional dyadic multiresolution analysis constructs a succession of frequency intervals in the form of ( π  / 2  j , π  / 2  j  - 1 ); j  = 1, 2, . . . ,  n of which the bandwidths are halved repeatedly in the descent from high frequencies to low
Stephen Pollock, Iolanda Lo Cascio
core  

Ion Concentration and Voltage Imaging With Fluorescent Nanodiamonds

open access: yesAdvanced Materials, EarlyView.
We demonstrate reversible switching between the fluorescent NV0 and the dark NV+ state, in sub‐30 nm FNDs via surface oxidation and hydrogenation, respectively. In an electrochemical cell, we show that the fluorescence from hydrogenated particles enables all‐optical imaging of voltages and ion concentrations at the micrometer scale.
Patrick Voorhoeve   +8 more
wiley   +1 more source

New Algorithm For Calculating Wavelet Transforms [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2009
In this article we introduce a new algorithm for computing Discrete Wavelet Transforms (DWT). The algorithm aims at reducing the number of multiplications, required to compute a DWT.
Piotr Lipinski, Mykhaylo Yatsymirskyy
doaj  

Extreme Bond Ionicity in Mg─Te Chalcogenides for Ultrathin Low Voltage Selector‐Only Memory beyond the Leakage Scaling Limit

open access: yesAdvanced Materials, EarlyView.
Mg─Te chalcogenides address the leakage scaling trade‐off in ultrathin selector‐only memory. Structural partitioning in multiphase Mg─Te, combined with highly ionic Mg─Te bonding and Hf interfacial engineering, supports reliable 5 nm thickness operation at low write voltage with suppressed leakage current, narrow threshold voltage distributions, 10 ns ...
Yoori Seo   +5 more
wiley   +1 more source

The Adequateness of Wavelet Based Model for Time Series [PDF]

open access: yes, 2013
In general, time series is modeled as summation of known information i.e. historical information components, and unknown information i.e. random component. In wavelet based model, time series is represented as linear model of wavelet coecients. Wavelet
Rosadi, Dedi   +3 more
core   +1 more source

BIOMETRIC KEYSTROKE RECOGNITION BASED ON HYBRID SVD AND WAVELET FOR FEATURE TRANSFORMATION

open access: yesJournal of Engineering and Sustainable Development, 2016
The main aim of this work is to use a keystroke biometric system as a behavioral type of biometrics and to improve the accuracy and dependability of the system.
Zeina Waleed Abaas
doaj  

The WaveD Transform in R: Performs Fast Translation-Invariant Wavelet Deconvolution [PDF]

open access: yes
This paper provides an introduction to a software package called waved making available all code necessary for reproducing the figures in the recently published articles on the WaveD transform for wavelet deconvolution of noisy signals. The forward WaveD
Michael Stewart, Marc Raimondo
core  

Wavelet shrinkage using adaptive structured sparsity constraints [PDF]

open access: yes, 2015
Structured sparsity approaches have recently received much attention in the statistics, machine learning, and signal processing communities. A common strategy is to exploit or assume prior information about structural dependencies inherent in the data ...
Tomassi, Diego Rodolfo   +7 more
core   +1 more source

Dental Microwear Texture Analysis on Radular Teeth

open access: yesAdvanced Materials Interfaces, EarlyView.
3D microwear textures reveal how gastropod radular teeth respond to controlled abrasive contact. Distinct surface signatures distinguish regular abrasion from fracture‐dominated material removal, showing how mineralized coatings, fibrous cores, and substrate properties jointly shape wear and failure in a biological scraping interface.
Wencke Krings   +2 more
wiley   +1 more source

The Discrete Wavelet Transform

open access: yes, 2021
In this thesis we will explore the theory behind wavelets. The main focus is on the discrete wavelet transform, although to reach this goal we will also introduce the discrete Fourier transform as it allow us to derive important properties related to wavelet theory, such as the multiresolution analysis. Based on the multiresolution it will be shown how
openaire   +1 more source

Home - About - Disclaimer - Privacy