Research on Spatial Domain Sigma-Delta Modulation by Cellular Neural Network

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In this research, the basic theories and applications of the sigma-delta cellular neural network (SD-CNN) were studied. For its applications, the second-order SD-CNN and the SD-CNN with over sampling technique were developed. Also, basics of spatio-temporal dynamics of SD-CNN were clarified. Moreover, the image prediction performance in the DA part will be improved by the image context-driven CNN predictors whose parameters can be determined by supervised learning.