SVD properties of orthogonal two-channel filter banks

被引：3
|
作者：
Mansour, Mohamed F. [1 ]
机构：
[1] Texas Instruments Inc, Dallas, TX 75243 USA
来源：
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS | 2012年 / 32卷 / 01期
关键词：
Orthogonal filter banks; Wavelets; Singular Value Decomposition; Zero padding; FINITE-LENGTH SIGNALS; OPTIMIZATION; DESIGN;
D O I：
10.1016/j.acha.2011.02.004
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
We study the Singular Value Decomposition (SVD) of the three building blocks of the matrix representation of two-channel orthogonal filter banks. We show the highly structured decomposition of these blocks and derive their mutual relations. We give examples to exploit the SVD properties in the implementation and design of orthogonal filter banks and wavelets. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码：16 / 27
页数：12
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