Fault Detection Based on Orthonormal Wavelet Transform of System Impulse Response

1997 ◽  
Vol 30 (11) ◽  
pp. 1135-1138
Author(s):  
Ye Hao ◽  
Wang Guizeng ◽  
Fang Chongzhi
Author(s):  
ASHOKA JAYAWARDENA ◽  
PAUL KWAN

In this paper, we focus on the design of oversampled filter banks and the resulting framelets. The framelets obtained exhibit improved shift invariant properties over decimated wavelet transform. Shift invariance has applications in many areas, particularly denoising, coding and compression. Our contribution here is on filter bank completion. In addition, we propose novel factorization methods to design wavelet filters from given scaling filters.


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