DocumentCode :
2937513
Title :
Compression of square integrable functions: Fourier vs. wavelets
Author :
Krichevskii, R.E. ; Potapov, V.N.
Author_Institution :
Inst. of Math., State Univ., Novosibirsk, Russia
fYear :
1995
fDate :
17-22 Sep 1995
Firstpage :
431
Abstract :
Pα is the class of functions with α-th derivative bounded in L2-norm, α>0. Kolmogorov and Tichomirov (1959) have ε-specified any f∈Pα by a O(ε-1α/) bits length code obtained from the Fourier (trigonometric) spectrum of f. We prove that the code can be derived from f in linear time. We show that wavelets are equivalent to the trigonometric basis with respect to both the length of the code and the time to get it from the spectrum (to within multiplicative constants). On the other hand, some bases of wavelets outperform Fourier´s, if we want to find the value of f at some point given the code of f
Keywords :
Fourier series; codes; data compression; integral equations; spectral analysis; wavelet transforms; Fourier spectrum; code length; linear time; multiplicative constants; square integrable functions compression; trigonometric basis; trigonometric spectrum; wavelets; Binary codes; Collaboration; Ellipsoids; Multidimensional systems; Polynomials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
Type :
conf
DOI :
10.1109/ISIT.1995.550418
Filename :
550418
Link To Document :
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