大尺寸一维信号的混合切切夫-查利尔矩分析

A. Daoui, H. Karmouni, Ayoub Azzayani, M. Sayyouri, H. Qjidaa
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引用次数: 1

摘要

本文提出了一种新的混合离散正交矩,称为切比切夫-查利尔矩。这种类型的矩是在切比切夫多项式和查利尔多项式的基础上创建的,目的是利用这些多项式中的每一个的重要性质。本文还提出了一种快速重建大尺寸一维信号的新方法。该方法需要将信号从一维空间转换到二维空间,然后使用矩阵公式在二维空间中进行重建。仿真结果清楚地表明,所提出的混合TC矩对于大尺寸一维信号的重建和感兴趣区域(ROI)的定位是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large Size 1D Signal Analysis by Hybrid Tchebichef-Charlier Moments
In this paper, we propose a new type of hybrid discrete orthogonal moments called the Tchebichef-Charlier (TC) moments. This type of moment is created on the basis of the Tchebichef and Charlier polynomials in order to exploit the important properties of each one of these polynomials. This paper also suggests a new fast method for the reconstruction of the large-size 1D signal. This proposed method requires the signal conversion from 1D to 2D space and then the use of matrix formulations for the reconstruction in the 2D space. The simulations performed clearly show the usefulness of the proposed hybrid TC moments for the reconstruction and for the localization of regions of interest (ROI) of a large-size 1D signal.
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