LMMIP

SUPER-FAST ALGORITHMS OF DISCRETE ORTHOGONAL TRANSFORMS AND PARALLEL-RECURSIVE CONVOLUTION CALCULATION
New DFT algorithms combine the use of familiar reduction schemes (Cooley-Turkey, Good-Òhîìàs, Vinograd) with a special data representation in recurrent number systems in the algebraic number fields.

Convolution algorithms rely on:
à) new DFT algorithms and optimal partitioning,
b) parallel-recursive convolution calculation at polynomial approximation of impulse characteristics (convolution kernel).

Superfast algorithms of spectral transforms
Optimal convolution partitioning

Parallel-recursive convolution implementation

Polynomial bases
Example: : selection of convolution algorithms with Gaussian kernel

Publications:
1. Proc. of the 7th Intern. Conf. on Comp. Analysis of Images and Pattern, Springer. LNCS 1296, pp.621-628.
2. Pattern Recognition and Image Analysis, 1998, v.8, N3, pp. 347-349.

LMMIP