Results 51 to 60 of about 6,623 (299)

A discrete wavelet analysis of freak waves in the ocean

open access: yesJournal of Applied Mathematics, 2004
A freak wave is a wave of very considerable height, ahead of which there is a deep trough. A case study examines some basic properties developed by performing wavelet analysis on a freak wave.
En-Bing Lin, Paul C. Liu
doaj   +1 more source

WAVOS: a MATLAB toolkit for wavelet analysis and visualization of oscillatory systems

open access: yesBMC Research Notes, 2012
Background Wavelets have proven to be a powerful technique for the analysis of periodic data, such as those that arise in the analysis of circadian oscillators.
Harang Richard   +2 more
doaj   +1 more source

Efficient Multi-Biometric Secure-Storage Scheme Based on Deep Learning and Crypto-Mapping Techniques

open access: yesMathematics, 2023
Cybersecurity has been one of the interesting research fields that attract researchers to investigate new approaches. One of the recent research trends in this field is cancelable biometric template generation, which depends on the storage of a cipher ...
Ahmed Sedik   +5 more
doaj   +1 more source

3D Printing Innovations in Polymeric Porous and Patterned Architecture

open access: yesAdvanced Functional Materials, EarlyView.
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil   +13 more
wiley   +1 more source

Continuous and discrete Bessel wavelet transforms

open access: yes, 2003
Using the theory of Hankel convolution, continuous and discrete Bessel wavelet transforms are defined. Certain boundedness results and inversion formula for the continuous Bessel wavelet transform are obtained. Important properties of the discrete Bessel
Pathak, R.S., Dixit, M.M.
core   +1 more source

Chiral Phase Change Nanomaterials

open access: yesAdvanced Functional Materials, EarlyView.
This work demonstrates reversible, non‐volatile phase transitions in chiral Ge2${\rm Ge}_2$Sb2${\rm Sb}_2$Te5${\rm Te}_5$ (GST) nanohelices for high‐speed optical modulation of chirality and dynamic control of the state of polarization (SOP). The chiral nanostructures are fabricated using a highly directional, wafer‐scale physical vapor deposition ...
Joshua A. Burrow   +11 more
wiley   +1 more source

On the initialization of the discrete wavelet transform algorithm [PDF]

open access: yesIEEE Signal Processing Letters, 1994
The authors show that making use of the discrete wavelet transform to analyse data implies performing a preliminary initialization of the fast pyramidal algorithm. An approximation enabling easy performance of such an initialization is proposed. >
Patrice Abry, Patrick Flandrin
openaire   +1 more source

Unraveling MXene Oxidation Mechanisms Under Realistic Gas Environments by In Situ Gas‐Cell TEM

open access: yesAdvanced Functional Materials, EarlyView.
Real‐time visualization of MXene degradation reveals a fundamental oxidation mechanism under oxygen and moisture environments. Using in situ gas‐cell electron microscopy, this study demonstrates that oxygen degradation drives a thermodynamically controlled high‐temperature transformation into mixed rutile/anatase phases.
Yongfa Cheng   +8 more
wiley   +1 more source

Bearing fault detection in a 3 phase induction motor using stator current frequency spectral subtraction with various wavelet decomposition techniques

open access: yesAin Shams Engineering Journal, 2018
Induction motors consumes 90% of total power consumed by industries due to large scale utilisation. Even though these motors are rugged in structure, they often face unexpected failure due to long usage without maintenance.
K.C. Deekshit Kompella   +2 more
doaj   +1 more source

Quadrature prefilters for the discrete wavelet transform [PDF]

open access: yesIEEE Transactions on Signal Processing, 2000
Summary: Discrepancies between the discrete wavelet transform and the coefficients of the wavelet series are known to be reducible by initialization of input data. Prefilters based on Lagrange interpolants are derived here for biorthogonal compact support wavelet systems, providing exact subspace projection in cases of local polynomial smoothness.
Bruce R. Johnson, James L. Kinsey
openaire   +2 more sources

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