A graphical tool for implementing Neural Networks for digital Signal Processing on Parallel computers
| Autor: | C. J. O'Driscoll, J. G. Keating |
|---|---|
| Rok vydání: | 1997 |
| Předmět: |
Signal processing
Artificial neural network business.industry Computer science Time delay neural network Distributed computing Computer Science::Neural and Evolutionary Computation computer.software_genre Front and back ends Cellular neural network Compiler business Compiled language computer Computer hardware Digital signal processing |
| Zdroj: | Computational Intelligence Theory and Applications ISBN: 9783540628682 Fuzzy Days |
| DOI: | 10.1007/3-540-62868-1_162 |
| Popis: | An emerging and rapidly expanding Parallel Distributed Processing technology for Signal Processing is the Neural Network. Artificial Neural Networks (ANNs) have been effectively used in the solution of signal processing problems, such as optimisation, identification and prediction. A graphical entry tool, SoftDSP, designed for the simulation of DSP functions, has been used as a front end for a graphical compiler to develop ANNs for parallel systems. The compiled code is implemented in parallel C which can be mapped onto an array of transputers. |
| Databáze: | OpenAIRE |
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