In this paper, a method is introduced how to process the Discrete Fourier Transform (DFT) by a singlelayer neural network with a linear transfer function. By implementing the sugg...
Petri Nets are a formal tool for studying systems that are concurrent, asynchronous, distributed, parallel, nondeterministic, and/or stochastic. They were used in a number of real-...
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
A NULL Cycle Reduction (NCR) technique is developed to increase the throughput of NULL Convention Logic systems, by reducing the time required to flush complete DATA wavefronts, c...
Abstract. Delay-Insensitive Sequential Processes is a structured, parallel programming language. It facilitates the clear, succinct and precise specification of the way an asynchro...