Results 11 to 20 of about 20,539 (211)

A Novel Fault Diagnosis Method for Motor Bearing Based on DTCWT and AFSO-KELM

open access: yesShock and Vibration, 2021
Aiming at the defects of wavelet transform-based feature extraction and extreme learning machine-based classification, a novel fault diagnosis method for motor bearing, based on dual tree complex wavelet transform and artificial fish swarm optimization ...
Yan Lu, Peijiang Li
doaj   +1 more source

Clearing the detail coefficient of 2-D DWT Architecture based on Lifting scheme of 5/3 and 9/7 Filters [PDF]

open access: yesمجلة التربية والعلم, 1999
In This paper, An efficient architecture for the implementation of two dimensional discrete wavelet transform based on lifting scheme for two types of JPEG2000 filters (5/3 and 9/7 filter) are proposed.
Dhafer Al-layla
doaj   +1 more source

Application of multi-dimensional wavelet transform to fluid mechanics

open access: yesTheoretical and Applied Mechanics Letters, 2020
: This paper first reviews the application research works of wavelet transform on the fluid mechanics. Then the theories of continuous wavelet transform and multi-dimensional orthogonal (discrete) wavelet transform, including wavelet multiresolution ...
Akira Rinoshika, Hiroka Rinoshika
doaj   +1 more source

Wavelet packet analysis for rotor bar breakage in an inverter induction motor

open access: yesElectrical engineering & Electromechanics, 2023
Introduction. In various industrial processes, squirrel cage induction motors are widely employed. These motors can be used in harsh situations, such as non-ventilated spaces, due to their high strength and longevity.
O. Z. I. Abu Ibaid   +5 more
doaj   +1 more source

Multi-focus Image Fusion Based on Non-subsampled Discrete Wavelet Transform

open access: yesJournal of Harbin University of Science and Technology, 2018
Image fusion is widely used in military,medical and other fields. Image fusion technology is to use a specific algorithm to synthesize two or more images into a new image.
GUO Ling-xin, YUAN Li-ying, WANG Fei-yue
doaj   +1 more source

Discrete Wavelet Transform Meets Transformer: Unleashing the Full Potential of the Transformer for Visual Recognition

open access: yesIEEE Access, 2023
Traditionally, the success of the Transformer has been attributed to its token mixer, particularly the self-attention mechanism. However, recent studies suggest that replacing such attention-based token mixer with alternative techniques can yield ...
Dongwook Yang, Seung-Woo Seo
doaj   +1 more source

PENERAPAN TRANSFORMASI DATA DISCRETE WAVELET TRANSFORM PADA NEURAL NETWORK UNTUK PREDIKSI HARGA SAHAM

open access: yesJurnal Riset Informatika, 2019
Research on stock prices is still interesting for researchers. As in this study, ANTM's stock price closing data is used as a data set that is processed to be then predicted in the future. The Neural Network method is a method that is very widely used by
Indah Suryani
doaj   +1 more source

Wavelet p-analogs of the discrete Haar transform [PDF]

open access: yesИзвестия Саратовского университета. Новая серия: Математика. Механика. Информатика, 2021
Two $p$-analogs (for $p>2$) of the discrete version of the Haar system in vector symbolism are proposed and fast algorithms are constructed based on them.
Bespalov, Mikhail S.
doaj   +1 more source

Image Enhancement Based on Wavelet Transform and Contrast  Limited Adaptive Histogram Equalization

open access: yesJournal of Harbin University of Science and Technology, 2018
Contrast limited adaptive histogram equalization (CLAHE) is an efficient algorithm to improve the local details of an image In this paper, we propose an image enhancement method named CLAHE Discrete Wavelet Transform to solve the problem of contrast and
YU Tian-he   +3 more
doaj   +1 more source

Accelerating discrete wavelet transforms on GPUS [PDF]

open access: yes2017 IEEE International Conference on Image Processing (ICIP), 2017
The two-dimensional discrete wavelet transform has a huge number of applications in image-processing techniques. Until now, several papers compared the performance of such transform on graphics processing units (GPUs). However, all of them only dealt with lifting and convolution computation schemes.
David Barina   +3 more
openaire   +3 more sources

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