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Lifting schemes for wavelets.

机译:小波提升方案。

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摘要

Wavelets are used in such areas of modern science as signal processing, image recognitions, data compressing, etc. With the increasing popularity of wavelets, new methods of creating wavelet bases with predefined properties from elementary wavelets such as the Lazy wavelet, defined in the text, are being developed. This work represents a substantial expansion of one of the popular such methods, called the Lifting Scheme. It is known that any biorthogonal wavelet basis whose matrix functions associated with the low-pass and high-pass filters have Laurent polynomial entries and determinant equal to 1, can be built from the Lazy wavelet using the alternating lifting and dual lifting steps. We extend the method to the case when the entries of the matrix functions associated with the wavelet filters are quotients of Laurent polynomials and relax the determinant condition to the requirement that determinant is not identically equal to zero, but a certain function of the frequency variable. Hence, we show that the extended Lifting Scheme can be used for building of any biorthogonal wavelet basis whose low-pass and high-pass filters are quotients of Laurent polynomials.
机译:小波被用于现代科学领域,例如信号处理,图像识别,数据压缩等。随着小波的日益普及,从基本小波(如Lazy小波)中创建具有预定义属性的小波基的新方法已在本文中定义。 ,正在开发中。这项工作代表了一种流行的方法(称为提升方案)的实质性扩展。众所周知,可以使用交替提升和对偶提升步骤,从Lazy小波建立任何双正交小波基,其与低通和高通滤波器相关的矩阵函数具有Laurent多项式项并且行列式等于1。我们将方法扩展到与小波滤波器关联的矩阵函数的项是Laurent多项式的商的情况,并将行列式条件放宽到要求行列式不等于零,而是频率变量的某个函数的要求。因此,我们表明扩展的提升方案可以用于构建任何双正交小波基,其低通滤波器和高通滤波器是洛朗特多项式的商。

著录项

  • 作者

    Svidersky, Ilona Yurii.;

  • 作者单位

    The University of Iowa.;

  • 授予单位 The University of Iowa.;
  • 学科 Mathematics.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 70 p.
  • 总页数 70
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 数学;
  • 关键词

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