Title :
Neural Network Models of the Generalized Fast Trigonometric Transformations
Author :
Yatsymirskyy, Mykhailo ; Liskevych, Oleh
Author_Institution :
Tech. Univ. of Lodz, Lodz
fDate :
Feb. 28 2006-March 4 2006
Abstract :
Neural networks for discrete trigonometric transformations modeling results are given. Accordance between theoretically and empirically derived model characteristics is shown.
Keywords :
computational complexity; discrete transforms; neural nets; signal processing; discrete trigonometric transformations modeling; generalized fast trigonometric transformations; neural network models; Adaptive systems; Digital signal processing; Discrete Fourier transforms; Discrete cosine transforms; Network synthesis; Neural network hardware; Neural networks; Neurons; Signal processing algorithms; Testing; Digital signal processing; generalized trigonometric transformations; neural networks; unified algorithm;
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications, and Computer Science, 2006. TCSET 2006. International Conference
Conference_Location :
Lviv-Slavsko
Print_ISBN :
966-553-507-2
DOI :
10.1109/TCSET.2006.4404530
