DocumentCode :
732174
Title :
The converter structure of time-and-frequency signals parameters in a code of two variables on the recurrent network basis
Author :
Chelebaev, Sergey V. ; Chelebaeva, Yulia A.
Author_Institution :
Biomed. & Semicond. Dept., Ryazan State Radio Eng. Univ., Ryazan, Russia
fYear :
2015
fDate :
14-18 June 2015
Firstpage :
199
Lastpage :
202
Abstract :
Converters synthesis procedures of time-and-frequency signals parameters in a digital code of two variables on the example of the recurrent networks application are developed. Converters structure of time-and-frequency signals parameters in a digital code of two variables on a basis three-layer recurrent network constructed.
Keywords :
analogue-digital conversion; neural chips; recurrent neural nets; analog-to-digital converter; converter structure; converters synthesis; digital code; recurrent network basis; recurrent networks application; three-layer recurrent network; time-and-frequency signals parameters; Biological neural networks; Embedded computing; Frequency conversion; Hardware; Neurons; Time-frequency analysis; Training; converter; digital code; frequency; neural network; recurrent network; time interval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded Computing (MECO), 2015 4th Mediterranean Conference on
Conference_Location :
Budva
Print_ISBN :
978-1-4799-8999-7
Type :
conf
DOI :
10.1109/MECO.2015.7181902
Filename :
7181902
Link To Document :
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