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Decomposition of the nodal conductance matrix of a planar resistive grid and derivation of its eigenvalues and eigenvectors using the kronecker product and sum with application to cnn image filters
(IEEE, 2016-12)
It is shown that an (M× N)-node planar resistive grid can be decomposed into two sub-grids; one made up of M N-node horizontal and the other of N M-node vertical linear resistive grids which corresponds to decomposing its ...
Construction of the nodal conductance matrix of a planar resistive grid and derivation of the analytical expressions of its eigenvalues and eigenvectors using the Kronecker Product and Sum
(IEEE, 2016-07-09)
This paper considers the task of constructing an (MxN+1)-node rectangular planar resistive grid as: first forming two (MxN+1)-node planar sub-grids; one made up of M of (N+1)-node horizontal, and the other of N of (M+1)-node ...
A discussion on spatiotemporal filtering on a third generation real-time cellular neural network processor
(IEEE Computer Society, 2016)
A third generation Real-Time Cellular Neural Network (CNN) Processor (RTCNNP-v3) is a CNN emulator currently being implemented targeting FPGA devices. Thanks to the frame buffer support of the RTCNNP-v3 it will be possible ...
Computer assisted sperm motility analysis implemented on hybrid CPU+FPGA architecture as an intelligent microscope application
(IEEE Computer Society, 2016)
In this paper we present a Computer Assisted Semen Analysis (CASA) system which is designed and implemented on a hybrid CPU+FPGA architecture platform. The sperm motility analysis deals with the dynamics of sperm movements, ...
On the way to a third generation real-time cellular neural network processor
(IEEE Computer Society, 2016)
In this proceeding, the architecture of a third generation Real-Time Cellular Neural Network (CNN) Processor (RTCNNP-v3) is disclosed, which is a digital CNN emulator to be implemented on an FPGA device. The previous ...