Mixing matrix estimation in instantaneous blind source separation
The main program is MAIN.m
This program will estimate the single source points present in the
instantaneous mixtures and using the estimated single source points the mixing matrix will be estimated. Then the error in mixing matrix
estimation and the latest estimated mixing matrix will be returned.
Here the hierarchical clustering algorithm is used to cluster the
estimated single source points. It is not necessary to use hierarchical clustering algorithm, instead any other suitable clustering algorithm can be used.
This is the Matlab code for the paper "V. G. Reju, S. N. Koh and I. Y. Soon, “An algorithm for mixing matrix estimation in instantaneous blind source separation,” Signal Processing, Vol. 89, Issue 9, September 2009, pp. 1762–1773."
Cite As
Reju VG (2024). Mixing matrix estimation in instantaneous blind source separation (https://www.mathworks.com/matlabcentral/fileexchange/28537-mixing-matrix-estimation-in-instantaneous-blind-source-separation), MATLAB Central File Exchange. Retrieved .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
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1.0.0.0 |