نتایج جستجو برای: general linear chirplet transform glct

تعداد نتایج: 1246548  

Journal: :algebraic structures and their applications 2014
azizollah azad nafiseh elahinezhad

let $g$ be a non-abelian group and let $z(g)$ be the center of $g$. associate with $g$ there is agraph $gamma_g$ as follows: take $gsetminus z(g)$ as vertices of$gamma_g$ and joint two distinct vertices $x$ and $y$ whenever$yxneq yx$. $gamma_g$ is called the non-commuting graph of $g$. in recent years many interesting works have been done in non-commutative graph of groups. computing the clique...

Journal: :IEEE Trans. Signal Processing 2002
Soo-Chang Pei Jian-Jiun Ding

The linear canonical transform (the LCT) is a useful tool for optical system analysis and signal processing. It is parameterized by a 2 2 matrix . Many operations, such as the Fourier transform (FT), fractional Fourier transform (FRFT), Fresnel transform, and scaling operations are all the special cases of the LCT. In this paper, we will discuss the eigenfunctions of the LCT. The eigenfunctions...

Journal: :Journal of the Optical Society of America. A, Optics, image science, and vision 2000
T Alieva M L Calvo

In this study the general algorithm for the fractionalization of the linear cyclic integral transforms is established. It is shown that there are an infinite number of continuous fractional transforms related to a given cyclic integral transform. The main properties of the fractional transforms used in optics are considered. As an example, two different types of fractional Hartley transform are...

2013
Euan A. Spence

Synonyms Transform methods, separation of variables, eigenfunction expansions, spectral representations. Transform methods replace differentiation in one variable with multiplication by a " transform " variable. Description The utility of transform methods essentially stems from the fact that they replace differentiation in one variable with multiplication by a transform variable. Hence, a PDE ...

M. A. Aghaei, M. Moradzadeh fard, N. Mousazadeh Abbasi,

The goal of this research is to predict total stock market index of Tehran Stock Exchange, using the compound method of ARIMA and neural network in order for the active participations of finance market as well as macro decision makers to be able to predict trend of the market. First, the series of price index was decomposed by wavelet transform, then the smooth's series  predicted by using...

2005
R. Mutihac

R. Mutihac Electricity and Biophysics, University of Bucharest, Bucharest, Romania Objective Analysis of an fMRI block-based visual stimulation paradigm was comparatively performed by wavelet analysis and statistical parametric mapping (SPM) [1] based on Gaussian Random Field Theory (RFT). The voxels were isotropic and the same general linear model (GLM) was employed in both SPM and the discret...

Journal: :J. Applied Mathematics 2012
Rui-Feng Bai Bing-Zhao Li Qi-Yuan Cheng

The linear canonical transform is shown to be one of the most powerful tools for nonstationary signal processing. Based on the properties of the linear canonical transform and the classical Wigner-Ville transform, this paper investigates theWigner-Ville distribution in the linear canonical transform domain. Firstly, unlike the classical Wigner-Ville transform, a new definition of WignerVille di...

Journal: :IEEE Trans. Signal Processing 1996
Ricardo L. de Queiroz Truong Q. Nguyen K. Raghunath Rao

The general factorization of a linear-phase paraunitary filter bank (LPPUFB) is revisited. From this new perspective, a class of lapped orthogonal transforms with extended overlap (generalized linear-phase lapped orthogonal transforms (GenLOT’s)) is developed as a subclass of the general class of LPPUFB. In this formulation, the discrete cosine transform (DCT) is the order-1 GenLOT, the lapped ...

2011
Emad M. Grais Hakan Erdogan

This paper introduces a speaker adaptation algorithm for nonnegative matrix factorization (NMF) models. The proposed adaptation algorithm is a combination of Bayesian and subspace model adaptation. The adapted model is used to separate speech signal from a background music signal in a single record. Training speech data for multiple speakers is used with NMF to train a set of basis vectors as a...

Journal: :EURASIP Journal on Advances in Signal Processing 2018

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