Results 11 to 20 of about 10,321 (256)

Empirical Wavelet Transform

open access: yesIEEE Transactions on Signal Processing, 2013
Some recent methods, like the Empirical Mode Decomposition (EMD), propose to decompose a signal accordingly to its contained information. Even though its adaptability seems useful for many applications, the main issue with this approach is its lack of theory. This paper presents a new approach to build adaptive wavelets. The main idea is to extract the
Jerome Gilles
openaire   +5 more sources

Local transformations with a singular wavelet

open access: yesInformatika, 2020
The paper considers a local wavelet transform with a singular basis wavelet. The problem of nonparametric approximation of a function is solved by the use of the  sequence of local wavelet transforms.
V. M. Romanchak
doaj   +1 more source

Comparative analysis of integer wavelet transforms in reversible data hiding using threshold based histogram modification

open access: yesJournal of King Saud University: Computer and Information Sciences, 2021
In the secured data communication scenario, image based Reversible Data Hiding (RDH) at transform domain is receiving its due popularity now. In research works so far, evaluation of transforms in RDH is very minor compared to that of image coding.
Ahmad Shaik, V. Thanikaiselvan
doaj   +1 more source

Speech Compression using Wavelet Transforms [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2007
In this research wavelet technique was used for speech compression. It was translated and scaled to groups which represent mother wavelet function. Applying the adopted algorithm with MATLAB software using Daubechies filters family (with multi-scale for ...
Khalil Al-Saif
doaj   +1 more source

Using effective signal filtering methods to data processing from a fiber-optic temperature sensor [PDF]

open access: yesОмский научный вестник, 2021
The article deals with signal processing of a fiber-optic temperature sensor using extremal filtering and filtering with Wavelet transforms. The aim of this work is to find a way to reduce the response time in a fiber-optic temperature sensor by ...
I. A. Ershov
doaj   +1 more source

Construction of a symmetrical shifl-invariant fractional overcomplete wavelet and its application in bearing fault diagnosis

open access: yes工程科学学报, 2015
This article introduces the design of symmetrical approximately shift-invariant fractional overcomplete wavelet transforms. First, a design scheme for the symmetrical low-pass filter with minimum-length was proposed, and then the corresponding highpass ...
SHEN Zheng-wei, SHI Tian, SHEN Ya-nan
doaj   +1 more source

Regularization of EIT reconstruction based on multi-scales wavelet transforms

open access: yesCurrent Directions in Biomedical Engineering, 2016
Electrical Impedance Tomography (EIT) intends to obtain the conductivity distribution of a domain from the electrical boundary conditions. This is an ill-posed inverse problem usually solved on finite element meshes.
Gong Bo   +3 more
doaj   +1 more source

Effective lattice structures for separable two-dimensional orthogonal wavelet transforms [PDF]

open access: yesBulletin of the Polish Academy of Sciences: Technical Sciences, 2022
Discrete two-dimensional orthogonal wavelet transforms find applications in many areas of analysis and processing of digital images. In a typical scenario the separability of two-dimensional wavelet transforms is assumed and all calculations follow the ...
Dariusz Puchala
doaj   +1 more source

Image Compression Using Wavelet Methods [PDF]

open access: yesINCAS Bulletin, 2013
This paper aims to study and compare the compression efficiencies of wavelet-bitmap and wavelet-Huffman. Both methods use wavelet to deduct a portion of the information in the image that can endure losing it without a significant disturbance in the image
Safaa S. MAHDI, Yasir S. AL - MOUSAWY
doaj   +1 more source

Wavelet Transforms and Machine Learning Methods for the Study of Turbulence

open access: yesFluids, 2023
This article investigates the applications of wavelet transforms and machine learning methods in studying turbulent flows. The wavelet-based hierarchical eddy-capturing framework is built upon first principle physical models.
Jahrul M Alam
doaj   +1 more source

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