LMMIP

ARITHMETIC METHODS IN THE THEORY OF DISCRETE ORTHOGONAL TRANSORMS (DOT) AND CONVOLUTIONS

Main idea: multi-dimensional data are embedded into finite-dimensional algebras over algebraic number fields, with their arithmetic and topological properties subsequently used to speed up (decrease volume of)calculation.

    1. Discrete orthogonal transfomrs with recurrent basis;
    2. Complex arithmetic;
    3. Special presentation of input data;
    4. DOT algorithm;
    5. FA of cycle convolution of two-dimensional DOT;
    6. Associative finite-dimensio- nal algebras;
    7. Non-Archimedean normalized fields;
    8. Cyclic fields;
    9. Recurrent number system.

 

Publications:
1. 1. Pattern Recognition and Image Analysis, 1993, N 4, pp.455-458.
2. Problems of data transmission, 1995, N 3, pp. 38-46.
3. Pattern Recognition and Image Analysis, 1995, N 2, pp. 238-245.
4. Proc. CAIP’95, Springer, 1995, pp. 655-660.
5. Image Processing and Communications, 1996, v. 2, N 1, pp. 13-20.
6. V.M. Chernov. Reports of the Academy of Sciences.1997, V.317, pp. 317-319.

LMMIP