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Topological persistence measures the resilience of extrema of a function to perturbations, and has received increasing attention in computer graphics, visualization and computer vision. While the notion of topological persistence for piece-wise linear functions defined on a simplicial complex has been well studied, the time complexity of all the known algorithms are super-linear (e.g. O(n log n))...
In this paper, the separation model for audio signal is built, at the same time, separable assumption conditions and separation criteria are assumed. Improved learning rule is proposed, on the basis of the separation effect with two learning rules, and it is applied in the adaptive algorithm to realize blind separation for audio signals. Experiment shows that the performance improved algorithm is...
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