Hurwitz-Radon matrices and their children

• Autorzy: Jakóbczak D.
• Języki publikacji: EN

Abstrakty

EN

In this paper, I have presented a family of Hurwitz-Radon matrices as base matrices in R2, R4, R8. There is shown how to choose the best basis and how to create "children" of Hurwitz-Radon matrices' family. There are same examples that "children" could be better basis than "parents".

Słowa kluczowe

EN

Hurwitz-Radon matrices; best basis; minimum entropy

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Informatyka Teoretyczna i Stosowana
• Rocznik: 2005
• Tom: R. 5, nr 8
• Strony: 29--38
• Opis fizyczny: Bibliogr. 7 poz.

Twórcy

autor

Jakóbczak D.

• Dept. Electronics and Intormatics Technical University of Koszalin ul. Śniadeckich 2, 75-543 Koszalin, Poland

Bibliografia

• [1] Eckmann B., Topology, Algebra, Analysis- Relations and Missing Links; Notices of AMS, vol. 46, No 5, 1999, pp.52O-527.
• [2] Vakhania N., Qrthogorial Random Vectors and the Hurwitz-Radon-Eckmann Theorem; Proc. of the Georgian Academy of Sciences, Mathematics, 1, No 1, 1993, pp. 109-125.
• [3] Sieńko W., Citko W., Jakóbczak D., Leaming and System Modeling via Hamiltonian Neural Networks, ICAISC Zakopane 2004, pp. 266-27 1.
• [4] Tarokh V., Jafarkhani H., Calderbank R., Space-Time Block Codes from Orthogonal Designs; IEEE Transaction on Information Theory, vol. 45, No. 5, 1999, pp. 1456-1467.
• [5] Sieńko W., Citko W., Hamiltonian Neural Net Based Signal Processing; International Confer ence Signal and E System, ICSES”2002, Wrocław-Świeradów Zdrój, 2002.
• [6] Sieńko W., Citko W., Wilamowski B., Hamiltonian Neural Nets as a Universal Signal Processor; The 28th Annual Conference of the IEEE Industrial Electronics Society IECON”2002, Sevillia, Spain, 2002.
• [7] Sieńko W., Quantum Aspects of Passive Neural Networks; A Conf. Proc. No 517, str.345-350.