FAST NEURAL NETWORK FOR GENERALIZED TRIGONOMETRIC TRANSFORMATIONS SYNTHESIS

Authors

  • Oleh Liskevych
  • Mykhaylo Yatsymirskyy

DOI:

https://doi.org/10.47839/ijc.5.1.374

Keywords:

Digital signal processing, neural networks, generalized trigonometric transformations, unified algorithm

Abstract

The structure of the fast hardware neural network, based on generalized trigonometric transformations algorithm is developed. The network is appointed for optimal by some given criteria transformation selection and synthesis in adaptive digital signal processing system.

References

V. Grytsyk. Information-analytic systems based on neural network technologies and structures (in Ukrainian). Lviv Polytechnic National University bulletin “Computer engineering and information technologies”. Lviv, 2000. - № 392. pp. 32–35.

M. Yatsymirskyy. Discrete orthogonal transformations modeling (in Ukrainian). Proceedings of Ukrainian-Polish symposium MIMUS`2002. Lviv-Brjuhovychi, 2002. pp. 195-199.

M. Yatsymirskyy, R. Liskevych, O. Liskevych. Parallel computing system for adaptive execution of the fast trigonometric transformations. Proceedings of Ukrainian-Polish symposium MIMUS`2002. Lviv-Brjuhovychi, 2002. pp. 131-136.

R. Tkachenko. Neural networks and the elements of adaptive systems (in Ukrainian). Lectures abstract. Lviv Polytechnic National University. Lviv. p. 104

V. Shahnov, A. Vlasov, A. Kuznetsov, Ju. Poliakov. Neurocomputers. Architecture and implementation (in Russian). ChipNews Journal, 2000, №№ 6-10.

A. Dorogov, A. Alekseev, D. Butorin. Neural networks with the structure of fast algorithm (in Russian). Proceedings of the VI All-Russian workshop “Neuroinformatics and its applications”. Krasnoyarsk. 1998. p. 53.

U. Lisovik, O. Lipchanskiy. The implementation of the neural network for the classification problem. International Scientific Journal of Computing, Vol. 3, Issue 2. Ternopil 2004.

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Published

2014-08-01

How to Cite

Liskevych, O., & Yatsymirskyy, M. (2014). FAST NEURAL NETWORK FOR GENERALIZED TRIGONOMETRIC TRANSFORMATIONS SYNTHESIS. International Journal of Computing, 5(1), 6-10. https://doi.org/10.47839/ijc.5.1.374

Issue

2006, Volume 5, Issue 1

Section

Articles

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