• 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