• DocumentCode
    3310303
  • Title

    Cooley-Tukey FFT like algorithm for the discrete triangle transform

  • Author

    Püschel, Markus ; Rötteler, Martin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2004
  • fDate
    1-4 Aug. 2004
  • Firstpage
    158
  • Lastpage
    162
  • Abstract
    The discrete triangle transform (DTT) was recently introduced (Püschel, M. and Rötteler, M., Proc. ICASSP, 2004) as an example of a non-separable transform for signal processing on a two-dimensional triangular grid. The DTT is built from Chebyshev polynomials in two variables in the same way as the DCT, type III, is built from Chebyshev polynomials in one variable. We show that, as a consequence, the DTT has, like the type III DCT, a Cooley-Tukey FFT type fast algorithm. We derive this algorithm and an upper bound for the number of complex operations it requires. Similar to most separable two-dimensional transforms, the operations count of this algorithm is O(n2 log(n)) for an input of size n×n.
  • Keywords
    discrete transforms; fast Fourier transforms; multidimensional signal processing; polynomials; Chebyshev polynomials; Cooley-Tukey FFT algorithm; DCT; discrete triangle transform; nonseparable transform; signal processing; two-dimensional signal processing; two-dimensional transforms; two-dimensional triangular grid; Algebra; Boundary conditions; Chebyshev approximation; Diffusion tensor imaging; Discrete cosine transforms; Discrete transforms; Field-flow fractionation; Polynomials; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop, 2004 and the 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th
  • Print_ISBN
    0-7803-8434-2
  • Type

    conf

  • DOI
    10.1109/DSPWS.2004.1437933
  • Filename
    1437933