Wavelet Transform With Tunable Q-Factor 论文

2011IEEE Transactions on Signal Processing引用 659
Image and Signal Denoising MethodsDigital Filter Design and ImplementationMachine Fault Diagnosis Techniques

详细信息

发表期刊/会议
IEEE Transactions on Signal Processing
发表日期
2011-04-21
发表年份
2011

关键词

Image and Signal Denoising MethodsDigital Filter Design and ImplementationMachine Fault Diagnosis Techniques

摘要

This paper describes a discrete-time wavelet transform for which the Q-factor is easily specified. Hence, the transform can be tuned according to the oscillatory behavior of the signal to which it is applied. The transform is based on a real-valued scaling factor (dilation-factor) and is implemented using a perfect reconstruction over-sampled filter bank with real-valued sampling factors. Two forms of the transform are presented. The first form is defined for discrete-time signals defined on all of Z. The second form is defined for discrete-time signals of finite-length and can be implemented efficiently with FFTs. The transform is parameterized by its Q-factor and its oversampling rate (redundancy), with modest oversampling rates (e.g., three to four times overcomplete) being sufficient for the analysis/synthesis functions to be well localized.

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