Results 71 to 80 of about 96,682 (288)

ANALISIS PAJAK KENDARAAN BERMOTOR MENGGUNAKAN MODEL MULTISCALE AUTOREGRESSIVE DENGAN MAXIMAL OVERLAP DISCRETE WAVELET TRANSFORM (Studi Kasus di UP3AD Kab.Temanggung) [PDF]

open access: yes, 2013
Time series analysis is applied in many fields, one of them is in the economic field. In this paper will consider analysis of the time series on data income taxes motor vehicles UP3AD Kab.Temanggung using Maximal Overlap Wavelet Transform Discrete (MODWT)
WAHYUNINGRUM, SRI
core  

Extraction of coherent structures in a rotating turbulent flow experiment

open access: yes, 2004
The discrete wavelet packet transform (DWPT) and discrete wavelet transform (DWT) are used to extract and study the dynamics of coherent structures in a turbulent rotating fluid.
Eran Sharon   +11 more
core   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

open access: yesAdvanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades   +7 more
wiley   +1 more source

Discrete wavelet transforms for Toeplitz matrices

open access: yesLinear Algebra and its Applications, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ching, WK, Ng, MK, Lin, FR
openaire   +4 more sources

Self‐Assembled Inorganic Nanomembrane Tubes: Rolled‐Up Piezoelectrics for Microacoustic Wave‐Based Actuators and Sensors

open access: yesAdvanced Materials, EarlyView.
This study demonstrates a self‐assembly process to generate free‐standing piezoelectric nanomembranes, forming ultracompact microtubular acoustic wave sensors and actuators. The miniaturized 3D piezoelectric platform reported in this work can be applied in telecommunication, energy harvesting, and acoustofluidics. Moreover, the 3D self‐assembly can add
Raphaël C. L‐M. Doineau   +9 more
wiley   +1 more source

Classification of fetal abnormalities based on CTG signal

open access: yesمجلة بغداد للعلوم, 2014
The fetal heart rate (FHR) signal processing based on Artificial Neural Networks (ANN),Fuzzy Logic (FL) and frequency domain Discrete Wavelet Transform(DWT) were analysis in order to perform automatic analysis using personal computers.
Baghdad Science Journal
doaj   +1 more source

Reversible implementation of a disrete linear transformation [PDF]

open access: yes, 2010
Discrete linear transformations form important steps in processing information. Many such transformations are injective and therefore are prime candidates for a physically reversible implementation into hardware. We present here the first steps towards a
Burignat, Stéphane   +2 more
core   +1 more source

Intelligent Acousto‐Electrical Metamaterials (IAM) for Sound Source Detection

open access: yesAdvanced Materials, EarlyView.
Our proposed metamaterial concept enables sound source detection using a single material, in contrast to conventional arrays that require dozens or even hundreds of transducers. We show that the coupled acoustic–vibrational–electrical responses in piezoelectric metamaterials give rise to topology‐governed charge transport, producing distinct voltage ...
Victor Couëdel   +7 more
wiley   +1 more source

Unravelling the Secret of Sulfur Confinement and High Sulfur Utilization in Hybrid Sulfur‐Carbons

open access: yesAdvanced Materials, EarlyView.
Thermal condensation of inverse vulcanized sulfur‐carbon hybrids enables a bottom‐up sulfur confinement strategy, in which a protective carbon phase is progressively constructed around sulfur species. The resulting carbon nanodomains covalently tether sulfur chains and stabilize radical intermediates. This integrated architecture effectively suppresses
Tim Horner   +9 more
wiley   +1 more source

Lightweight Wavelet Convolutional U-Net for Seismic Phase Recognition

open access: yesIEEE Access
To reconcile the conflict between phase-picking accuracy and edge-deployment efficiency, this study proposes a Lightweight Wavelet Convolutional U-Net. The core originality lies in replacing standard sampling with an invertible wavelet paradigm.
Jianxian Cai   +4 more
doaj   +1 more source

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