一种新的信号估计方法匹配对偶树复小波系统

2009 International Multimedia, Signal Processing and Communication Technologies Pub Date : 2009-03-14 DOI:10.1109/MSPCT.2009.5164170

S. Swamy, S. Joshi, E.Y. Naresh kumar

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引用次数: 1

摘要

双树复小波变换(CWT)是对离散小波变换(DWT)的一种较新的增强。它在二维和高维中几乎是平移不变的，并且具有方向选择性。首先研究了A.Gupta关于实小波的研究成果，并在相似的直线上推导了两通道复滤波器组的实信号和复值滤波器系数方程。其次，给出了复杂输入和复杂滤波器的方程。通过推导出的方程，对对偶树系统实现了匹配小波滤波器组的概念。

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A new method for estimating signal matched dual tree complex wavelet system

The dual-tree complex wavelet transform (CWT) is a relatively recent enhancement to the discrete wavelet transform (DWT). It is nearly shift invariant and directionally selective in two and higher dimensions. Firstly the works of A.Gupta is studied for real wavelets and on the similar lines equations are formulated for real signal and complex -valued filter coefficients for 2-channel complex filter bank. Secondly the equations are written for complex inputs and complex filters. The matched wavelet filter bank concept is implemented for the dual tree system with the help of derived equations.

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2009 International Multimedia, Signal Processing and Communication Technologies

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