搜索结果: 1-11 共查到“wavelets”相关记录11条 . 查询时间(0.14 秒)
A dynamic hybrid model based on wavelets and fuzzy regression for time series estimation
Financial time series Wavelet decomposition Fuzzy regression SP500 index
2011/3/25
In the present paper, a fuzzy logic based method is combined with wavelet decomposition to develop a step-by-step dynamic hybrid model for the estimation of financial time series. Empirical tests on ...
Comparison of daubechies wavelets for hurst parameter estimation
Daubechies wavelets fractional gaussian noise hurst estimation vanishing moment
2010/10/12
Time scale dependence on the working nature of wavelet analysis makes it a valuable tool for Hurst parameter estimation. Similar to other wavelet-based signal processing applications, the selection of...
Two-Dimensional Orthogonal Filter-Banks and Wavelets with Linear Phase
Filter banks linear phase symmetry 2-D wavelets wavelets
2010/1/7
Two-dimensional (2-D) compactly supported, orthogonal wavelets and filter banks having linear phase are presented. Two cases are discussed: wavelets with two-fold symmetry (centrosymmetric) and wavel...
Two-Dimensional Orthogonal Filter-Banks and Wavelets with Linear Phase
Filter banks linear phase symmetry 2-D wavelets wavelets
2010/1/7
Two-dimensional (2-D) compactly supported, orthogonal wavelets and filter banks having linear phase are presented. Two cases are discussed: wavelets with two-fold symmetry (centrosymmetric) and wavel...
Two-Dimensional Orthogonal Wavelets with Vanishing Moments
Two-Dimensional Orthogonal Wavelets Vanishing Moments
2010/1/7
We investigate a very general subset of 2-D, orthogonal, compactly supported wavelets. This subset includes all the wavelets with a corresponding wavelet (polyphase) matrix that can be factored as a p...
Two-Dimensional Orthogonal Wavelets with Vanishing Moments
Two-Dimensional Orthogonal Wavelets Vanishing Moments
2010/1/7
We investigate a very general subset of 2-D, orthogonal, compactly supported wavelets. This subset includes all the wavelets with a corresponding wavelet (polyphase) matrix that can be factored as a p...
A Hybrid Approach of Using Wavelets and Fuzzy Clustering for Classifying Multispectral Florescence In Situ Hybridization Images
Classifying Multispectral Florescence Situ Hybridization Images
2009/9/8
Multicolor or multiplex fluorescence in situ hybridization (M-FISH) imaging is a recently developed molecular cytogenetic diagnosis technique for rapid visualization of genomic aberrations at the chro...
On the usefulness of Meyer wavelets for deconvolution and density estimation
Density estimation Deconvolution Inverse problem Wavelet thresholding Random thresholds Oracle inequalities
2010/3/18
The aim of this paper is to show the usefulness of Meyer wavelets for the classical problem of
density estimation and for density deconvolution fromnoisy observations. By using suchwavelets, the comp...
A DISTORTION INPUT PARAMETER IN IMAGE DENOISING ALGORITHMS WITH WAVELETS
Signal Processing denoising filtering
2010/1/11
The problem of image denoising based on wavelets is considered. The paper
proposes an image denoising method by imposing a distortion input parameter instead
of threshold. The method has two algorit...
AN ALGORITHM FOR THRESHOLDING IN THE CONTEXT OF SIGNAL DENOISING WITH WAVELETS
signal processing analysis denoising filtering
2010/1/11
The problem of estimating a signal corrupted by additive noise has been of
interest to many researchers for practical as well as theoretical reasons. Wavelet based
methods have become increasingly p...
From wavelets to adaptive approximations: time-frequency parametrization of EEG
wavelets adaptive approximations time-frequency parametrization EEG
2010/3/1
This paper presents a summary of time-frequency analysis of the electrical activity of the brain (EEG). It covers in details two major steps: introduction of wavelets and adaptive approximations. Pres...