Digital signal processor accelerators for neural network simulations

1986 ◽  
Author(s):  
P. Andrew Penz ◽  
Richard Wiggins
Keyword(s):  
Neural Network ◽  
Digital Signal Processor ◽  
Digital Signal ◽  
Network Simulations ◽  
Signal Processor

scholarly journals GMSK NEURAL NETWORK BASED DEMODULATOR

2014 ◽  
pp. 71-76
Author(s):  
Andrea Aiello ◽  
Domenico Grimaldi ◽  
Sergio Rapuano
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Input Signal ◽  
Digital Signal Processor ◽  
Digital Signal ◽  
European Telecommunication Standard Institute ◽  
Learning Vector Quantisation ◽  
Vector Quantisation ◽  
Artificial Neural ◽  
Signal Processor

In this paper, the pattern recognition characteristics of the Artificial Neural Net­ works are used to realise a real demodulator for Gaussian Minimum Shift­Keying signals, used in the GSM telecommunications. The demodulator utilises the Learning Vector Quantisation (LVQ) neural network. It offers both greater efficiency in demodulating and less sensitivity to noise. In order to solve the problem regarding input signal synchronisation, a pre­processing phase is organised. The demodulator prototype has been realised by implementing the pre­processing phase and the LVQ neural network on TMS320C30 Digital Signal Processor. The demodulator has been tested according to the European Telecommunication Standard Institute Recommendations.

High Voltage Driver for RSFQ Digital Signal Processor

2007 ◽  
Vol 17 (2) ◽  
pp. 470-473 ◽  
Author(s):  
Igor I. Soloviev ◽  
M. Raihan Rafique ◽  
Henrik Engseth ◽  
Anna Kidiyarova-Shevchenko
Keyword(s):  
High Voltage ◽  
Digital Signal Processor ◽  
Digital Signal ◽  
Signal Processor
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