PROJECT TITLE :

A Cellular Network Architecture WithPolynomial Weight Functions - 2016

ABSTRACT:

Emulations of cellular nonlinear networks on digital reconfigurable hardware are renowned for an economical computation of huge knowledge, exceeding the accuracy and adaptability of full-custom designs. During this contribution, a digital implementation with polynomial coupling weight functions is proposed for the primary time, establishing novel fields of application, e.g., within the medical Signal Processing and in the solution of partial differential equations. We tend to gift an design that is capable of processing massive-scale networks with a high degree of parallelism, implemented on state-of-the-art field-programmable gate arrays.


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