In this paper, a novel sparse component multi-resolution independent component analysis is presented. This method separates mixed images based on quadratic function of sparse component coefficient. The quadratic function can be interpreted as the time-frequency function or time-scale function. The performance of the algorithm is evaluated by using noisy mixed images data. Experimental results show that the method is feasible.

Based on the theory of dynamic fuzzy logic, dynamic fuzzy sets and dynamic fuzzy evaluation method are proposed. According to the index system of evaluation of network information security, dynamic fuzzy weight matrix and the single factor evaluation matrix are determined first. Then by multi-level dynamic fuzzy recursion numerical processing of the comment weight vectors, evaluation result is obtained, which not only reflects the current situation of network information security but also predicts its development trend in future. This evaluation method is relatively object and comprehensive compared to previous ones.