DocumentCode :
1328378
Title :
Translation invariance and sampling theorem of wavelet
Author :
Wang, Qiao ; Wu, Lenan
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Volume :
48
Issue :
5
fYear :
2000
fDate :
5/1/2000 12:00:00 AM
Firstpage :
1471
Lastpage :
1474
Abstract :
The sampling theorem for wavelet spaces built by Walter (1992) lacks the translation invariance except for Walter´s weak translation invariant wavelet, i.e., Meyer´s wavelet. Indeed, we must know a priori the shift offset a in the samples {f(n+a);n∈Z}; otherwise, the waveform cannot be recovered since the interpolation function is dependent on this offset. In this correspondence, we generalize our metric functional to metrize weak shiftability and find a somewhat surprising result that the B spline wavelets of order n⩾3 are degenerate shiftable. Thus, we can recover approximately the waveform by double sampling without any information on shift offset a
Keywords :
bandlimited signals; interpolation; invariance; signal sampling; splines (mathematics); wavelet transforms; B spline wavelets; bandlimited signals; interpolation function; metric functional; sampling theorem; shift offset; translation invariance; waveform recovery; wavelet spaces; Concrete; Fourier transforms; Interpolation; Mechanical variables measurement; Noise reduction; Quantum mechanics; Sampling methods; Signal analysis; Signal processing algorithms; Spline;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.839994
Filename :
839994
Link To Document :
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