Construction of orthonormal piecewise polynomial scaling and wavelet bases on non-equally spaced knots

  • Authors:

  • Anissa Zergaïnoh;Najat Chihab;Jean Pierre Astruc

  • Affiliations:

  • Laboratoire de Traitement et Transport de l'Information (L2TI), Institut Galilée, Université Paris 13, Villetaneuse, France and LSS/CNRS, Supélec, Plateau de Moulon, Gif sur Yvette, ...;Laboratoire de Traitement et Transport de l'Information (L2TI), Institut Galilée, Université Paris 13, Villetaneuse, France;Laboratoire de Traitement et Transport de l'Information (L2TI), Institut Galilée, Université Paris 13, Villetaneuse, France

  • Venue:
  • EURASIP Journal on Applied Signal Processing
  • Year:
  • 2007

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Abstract

This paper investigates the mathematical framework of multiresolution analysis based on irregularly spaced knots sequence. Our presentation is based on the construction of nested nonuniform spline multiresolution spaces. From these spaces, we present the construction of orthonormal scaling and wavelet basis functions on bounded intervals. For any arbitrary degree of the spline function, we provide an explicit generalization allowing the construction of the scaling and wavelet bases on the nontraditional sequences. We show that the orthogonal decomposition is implemented using filter banks where the coefficients depend on the location of the knots on the sequence. Examples of orthonormal spline scaling and wavelet bases are provided. This approach can be used to interpolate irregularly sampled signals in an efficient way, by keeping the multiresolution approach.