The paper starts presents the work initially carried out by Queen's University and RSRE (now Qinetiq) in the development of advanced architectures and microchips based on sys...
John V. McCanny, Roger F. Woods, John G. McWhirter
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
This work demonstrates that high-end classical programmable digital signal processors (DSPs) can implement fuzzy systems for real-time communication processing. A systematic proce...
Our VLSI neuromorphs, possess extensive dendritic trees with hundreds of excitatory and inhibitory synaptic sites. Useful signal processing can be achieved by evolving the appropr...
— In this paper, we present design methods to optimize nonlinear phase functions of Generalized DFT (GDFT) for minimized auto and cross correlations. It is shown that GDFT offers...