Block transform packets-an efficient approach to time-frequency decomposition

J. Horng, R. Haddad
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引用次数: 2

Abstract

A block transform packet (BTP) is an orthonormal block transform which represents an arbitrary tiling of the time-frequency plane. This paper describes procedures for synthesizing BTPs with desirable time-frequency localization from conventional block transforms while maintaining the computational progenitor transforms. Time localizable block transform packets (TLBT) are constructed from the DCT while the dual frequency localizable block transform packets are synthesized starting with the time-localized Kronecker delta basis sequences. The BTP can represent a time-varying decomposition tree but requires no transition or boundary filters. This decomposition is an efficient alternative to wavelet packet decomposition. Three examples are developed to illustrate the procedure and demonstrate the enhanced compression properties of the TLBT.
块变换包——一种有效的时频分解方法
块变换包(BTP)是一种标准正交块变换,表示时频平面的任意平铺。本文描述了在保持计算祖变换的同时,从传统的块变换中合成具有理想时频定位的btp的过程。在DCT的基础上构造时间可定位块变换包(TLBT),并从时间局部化的Kronecker δ基序列出发合成双频可定位块变换包。BTP可以表示时变分解树,但不需要过渡滤波器或边界滤波器。这种分解是小波包分解的有效替代方法。通过三个实例说明了这一过程,并证明了TLBT压缩性能的增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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