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Description: Introduction
Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)
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Author: rocketyang |
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Description: 一种新的ICA盲分离方法，分离效果较好，基于SSO的统计特性，经过验证对复值信号有良好的分离效果-ICA, a new blind separation method, separation is better, based on the statistical properties of SSO, proven value of the complex signal has a good separation
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Author: liurunjiang |
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