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‎Daubechies wavelets

Application of Daubechies wavelets for solving Kuramoto-Sivashinsky‎ type equations

Application of Daubechies wavelets for solving Kuramoto-Sivashinsky‎ type equations

... called wavelets, which are localized both in location and ...used wavelets are those with compact support introduced by Daubechies ...of Daubechies wavelets to solve partial differ- ...

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A quantitative method for choosing optimal Daubechies wavelets

A quantitative method for choosing optimal Daubechies wavelets

... We end this section by discussing a recent algorithm [12] which has been developed for calculating exact values of Daubechies wavelets, which can be viewed as an improvement of the Cascade algorithm ...

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Studying the Influence of the Number Vanishing Moments of Daubechies Wavelets for the Analysis of Microstrip Lines

Studying the Influence of the Number Vanishing Moments of Daubechies Wavelets for the Analysis of Microstrip Lines

... Abstract—Using Daubechies wavelet with one, two, three, and four vanishing moments, basis functions for the efficient solution of electromagnetic integral equations are ...of Daubechies wavelets are ...

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New Techniques for Daubechies Wavelets and Multiwavelets Implementation using Quantum Computing

New Techniques for Daubechies Wavelets and Multiwavelets Implementation using Quantum Computing

... In this paper, new techniques to implement the Daubechies wavelets and multiwavelets are presented using quantum computing synthesis structures. Also, a new quantum implementation of inverse ...

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Modeling Long Term Memory Effect in Stock Prices: A Comparative Analysis with GPH Test and Daubechies Wavelets

Modeling Long Term Memory Effect in Stock Prices: A Comparative Analysis with GPH Test and Daubechies Wavelets

... on wavelets analysis provide WOLS estimator for the memory ...the Daubechies-20, Daubechies-12, the Daubechies-4 and the Haar wavelets and compares the results of the WOLS estimators ...

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ECG Signal Denoising and Ischemic Event Feature Extraction using Daubechies Wavelets

ECG Signal Denoising and Ischemic Event Feature Extraction using Daubechies Wavelets

... using Daubechies Wavelet transform ...that Daubechies wavelets are best suitable for small datasets and are able to clearly demark the healthy and disease subjects such as myocardial ischemia ...

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Comparative Analysis of Coiflet and Daubechies Wavelets in Fingerprint Image Compression

Comparative Analysis of Coiflet and Daubechies Wavelets in Fingerprint Image Compression

... orthogonal Daubechies and Coiflet wavelet bases were applied at different orders and decomposition levels to decompose fingerprint image into approximation and detail ...of Daubechies and Coiflet ...

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Multiscale higher-order TV operators for L1 regularization

Multiscale higher-order TV operators for L1 regularization

... with wavelets, which we believe has generally gone unrecognized, is shown to hold in several numerical results, although notable improvements are seen with our approach over both wavelets and classical ...

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On the Zeros of Daubechies Orthogonal and Biorthogonal Wavelets

On the Zeros of Daubechies Orthogonal and Biorthogonal Wavelets

... decade, Daubechieswavelets have been successfully used in many signal processing ...these wavelets via two channel perfect reconstruction filter bank requires the identification of necessary ...

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Nonstationary Wavelets Related to the Walsh Functions

Nonstationary Wavelets Related to the Walsh Functions

... function fminsearch to solve the optimization problems in Equations (18) and (19). The results of these numerical experiments are presented in Tables 1 and 2. We see that in several cases the introduced nonstationary ...

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BONE CRACK DETECTION IN MEDICAL IMAGES USING MULTI MODEL IMAGE FUSION

BONE CRACK DETECTION IN MEDICAL IMAGES USING MULTI MODEL IMAGE FUSION

... In the present work, we have proposed a new weighted fusion scheme using Daubechies complex wavelet transform (DCxWT). Shift invariance and availability of phase information properties improved the performance of ...

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Review on Significance Research on Enhancing the Quality of the Brain Image Using Neuro-Fuzzy System

Review on Significance Research on Enhancing the Quality of the Brain Image Using Neuro-Fuzzy System

... (discrete wavelets, complex wavelets, and median filter), artificial neural network approach for image reconstruction and Median filtering technique, also discussed other denoising and deblurring ...

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INTERPOLATING WAVELETS ON THE SPHERE

INTERPOLATING WAVELETS ON THE SPHERE

... of wavelets on the sphere are constructed and studied in a number of ...of wavelets on spheres in S 2 and S 3 , the tensor product of bases of one-dimensional wavelets is used including a basis of ...

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Daubechies Wavelet Tool: Application For Human Face Recognition

Daubechies Wavelet Tool: Application For Human Face Recognition

... Face recognition accuracy depends heavily on how well the input images have been compensated for pose illumination and facial expressions. Variation among the images of same face due to illumination and viewing direction ...

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Feature Extraction of Lung Sounds Using Daubechies Wavelet

Feature Extraction of Lung Sounds Using Daubechies Wavelet

... Abstract - Diagnosis of lung sound using the stethoscope has the many limitation. It depends on the experience and skill of the medical practitioners. Lung sound classification has two parts, first is the feature ...

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Performance Analysis of Daubechies Wavelet in Image Deblurring and Denoising

Performance Analysis of Daubechies Wavelet in Image Deblurring and Denoising

... Abstract: Images get blurred when they are acquired and contaminated by noise while being transmitted,hence it is necessary to restore the image and remove the noise present in the image.The deconvoluion is performed for ...

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CONSTRUCTION OF SHIFT INVARIANT M-BAND TIGHT FRAMELET PACKETS

CONSTRUCTION OF SHIFT INVARIANT M-BAND TIGHT FRAMELET PACKETS

... The traditional wavelet frames provide poor frequency localization in many applications as they are not suitable for signals whose domain frequency channels are focused only on the middle frequency region. Therefore, in ...

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An application of nonstationary wavelets

An application of nonstationary wavelets

... ness parameter s. It is well known that Besov spaces contain a large number of fundamen- tal spaces, such as Sobolev spaces, Hölder spaces, Lipschitz spaces etc. [, ]. They are frequently used in certain PDEs as the ...

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Comparison of SNR Improvement for Lower Atmospheric Signals Using Wavelets

Comparison of SNR Improvement for Lower Atmospheric Signals Using Wavelets

... ABSTRACT: Lower Atmosphere Wind Profiler (LAWP) radar is to provide wind profiles in the atmospheric boundary layer (ABL) and lower troposphere. It gives important data for research on winds and atmospheric boundary ...

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Wavelets operational methods for fractional differential equations and systems of fractional differential equations

Wavelets operational methods for fractional differential equations and systems of fractional differential equations

... Furthermore, wavelets are just another basis sets that offers considerable advantages over alternative basis sets and allow us to tackle problems not accessible with conventional numerical methods, these main ...

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