Sparse Component Analysis
2016-08-23
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Sparse Component Analysis is a hybrid model based on the less instantaneous blind source separation algorithm. In the past, such as ICA or SOBI same automated algorithm does not exist, so I am in principle on the basis of the algorithm, a certain amount of improvement, making it into execution can be automated. Also, the efficiency of the algorithm accuracy has been greatly improved. However, this method can only be used to process the vibration signal, if necessary use in the speech signal, so you need to change the mixing matrix is estimated that part of the code (not a lot of trouble), and l1 norm minimization method which contains a does not need to change. Algorithm corresponding papers, visible: Identification of modal parameters using an improvedsparse blind source separation. Paper out, may have to wait a long time, now is the 2014 year-end.
Algorithm principle, although it is already existing, however, there is greater availability of p
Algorithm principle, although it is already existing, however, there is greater availability of p
matlab
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