Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Nabil H. Farhat"'
Publikováno v:
Analog Integrated Circuits and Signal Processing. 59:287-300
The clustering of spatio-temporal patterns are essential for many applications. Established from the biological analogy of the cortex, the parametrically coupled logistic map network (PCLMN) provides a viable solution to the clustering problem. To en
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 55:311-321
A new all-digital background calibration method, using a piecewise linear model to estimate the stage error pattern, is presented. The method corrects both linear and nonlinear errors. The proposed procedure converges in a few milliseconds and requir
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 54:1130-1134
The parametrically coupled logistic map network (PCLMN) can serve as the front-end dynamic neural network (DNNs) for clustering and generation of spatio-temporal patterns. In this brief, the element of the PCLMN is designed in a 0.25-mum 2.5-V CMOS p
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 52:1535-1544
A systematic design methodology for high-performance gain-boosted opamps (GBOs) is presented. The methodology allows the optimization of the GBO in terms of ac response and settling performance and is incorporated into an automatic computer-aided des
Publikováno v:
IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications. 50:1538-1547
An increasing number of applications of a one-dimensional (1-D) map as an information processing element are found in the literature on artificial neural networks, image processing systems, and secure communication systems. In search of an efficient
Autor:
Geehyuk Lee, Nabil H. Farhat
Publikováno v:
Neural Networks. 14:921-932
Numerical methods for initial-value problems based on finite-differencing of differential equations (FDM) are not well suited for the simulation of an integrate-and-fire neuron network (IFNN) due to the discontinuities implied by the firing condition
Autor:
Nabil H. Farhat
Publikováno v:
Journal of Intelligent and Robotic Systems. 21:167-177
Advances in understanding the neuronal code employed by cortical networks indicate that networks of parametrically coupled nonlinear iterative maps, each acting as a bifurcation processing element, furnish a potentially powerful tool for the modeling
Publikováno v:
Applied optics. 32(35)
An analytical model governing the dynamics of the trapped-electron density in electron-trapping materials (ETM’s) under simultaneous blue and near-IR illuminations is developed and studied in detail. Experimental results confirming the theoretical
Publikováno v:
Applied optics. 31(23)
For the purpose of reducing the spurious states in a Hopfield neural net for associative memory, we invoke terminal attractors. In achieving the optical implementation of the terminal-attractor-based associative memory (TABAM) as described in this pa
Autor:
Nabil H. Farhat, B. J. Levin
Publikováno v:
Applied optics. 9(3)
A new method of passive image dissection suitable for use in visualizing images formed in appropriate optics by millimeter, submillimeter, or far ir radiation is proposed. The method is based upon resonance absorption of radiant energy incident on an