THE BINOMIAL QMF-WAVELET TRANSFORM FOR MULTIRESOLUTION SIGNAL DECOMPOSITION

被引：30

作者：

AKANSU, AN ^{[1
]}

HADDAD, RA ^{[1
]}

CAGLAR, H ^{[1
]}

机构：

[1] POLYTECH UNIV,SCH ELECT ENGN & COMP SCI,HAWTHORNE,NY 10532

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1993年 / 41卷 / 01期

关键词：

Binomial filters - Maximally flat filters - Multiresolution signal decomposition - Orthogonal binomial filters - Orthogonal filters - QMF-wavelet transforms - Quadrature mirror filters (QMF) - Signal decomposition;

D O I：

10.1109/TSP.1993.193123

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper describes a class of orthogonal binomial filters that provide a set of basis functions for a bank of perfect reconstruction (PR) finite impulse response quadrature mirror filters (FIR QMF). These binomial QMF's are shown to be the same filters as those derived from a discrete orthonormal wavelet transform approach by Daubechies. These filters are the unique maximally flat magnitude square PR QMF's. It is shown that the binomial QMF outperforms the discrete cosine transform objectively for AR(1) sources and test images considered.

引用

页码：13 / 19

页数：7

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