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Design Methods for Cellular Neural Networks
Appendix B Glossary
1 other sections not shown
analog asymptotically stable autonomous system basin of attraction cell C(i,j cell output Cellular Neural Networks chaos chaotic attractor chaotic behavior Chapter Chua's Circuit class of CNNs cloning template CNN with opposite-sign complete stability compute defined denoted desired output image double scroll dynamical system edge detector eigenspace eigenvalues equilibrium point example exterior product Figure gradient system Hopf bifurcation Hopfield network hyperplane IEEE Trans initial conditions input image input patterns J. A. Nossek Jacobian matrix L. O. Chua learning algorithm Liapunov exponents Liapunov function limit cycle linear region neighborhood neuron nonlinear opposite-sign templates orbit ordinary differential equations output function parameter partial saturation region Poincare map proof reciprocity relaxation method self-feedback shown in Fig simulation solution space stable equilibrium point stable limit cycle Step strange attractor subspaces symmetric CNNs system equation Theorem 4.1 three-cell CNN trajectory two-cell nonautonomous unstable variation equation vector field