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

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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.

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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

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