Results 11 to 20 of about 10,321 (256)
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
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Local transformations with a singular wavelet
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
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
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Speech Compression using Wavelet Transforms [PDF]
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
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Using effective signal filtering methods to data processing from a fiber-optic temperature sensor [PDF]
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
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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
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Regularization of EIT reconstruction based on multi-scales wavelet transforms
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
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Effective lattice structures for separable two-dimensional orthogonal wavelet transforms [PDF]
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
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Image Compression Using Wavelet Methods [PDF]
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
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Wavelet Transforms and Machine Learning Methods for the Study of Turbulence
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
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