Matrassulova Dk 1
1. Algebraic fields and rings as a digital signal processing tool
2. Some advantages of non-binary Galois fields for digital signal processing
3. A technique for analyzing neural networks in terms of ternary logic
4. Distributed memory of neural networks and the problem of the intelligence`s essence
5. Features of digital signal processing algorithms using Galois fields GF(2n+1)
6. Construction of Generalized Rademacher Functions in Terms of Ternary Logic: Solving the Problem of Visibility of Using Galois Fields for Digital Signal Processing
7. Discrete form of the Huygens-Fresnel principle: to the multi-dimensional analog of the Nyquist–Shannon sampling theorem
8. New application of non-binary Galois fields Fourier transform: Digital analog of convolution theorem
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