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The mixing matrix is estimated in each column.
The mixing matrix is now 4×4 with independent Gaussian entries.
First, the unknown mixing matrix is estimated using the k-means clustering method.
where the estimated mixing matrix is given in terms of its constituent column vectors,.
After the mixing matrix is identified, the sources have to be estimated.
Then the mixing matrix is estimated by decomposing the core tensor with the ALS algorithm.
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Therefore, the two loading matrices of the three-way array, which are equal to the mixing matrix, are nonnegative.
The columns of the mixing matrix are estimated by finding picks in a 2D histogram of amplitude-delay estimates.
The mixing matrix was the same in all the runs and its directions θ were chosen to be equally spaced.
The elements of the mixing matrix are obtained from zero mean independent Gaussian random variables with variance σ2 = 1.
When the sources and the mixing matrix are restricted to be non-negative, the problem can be seen as a non-negative matrix factorization (NMF) problem for which many algorithms have been developed[15].
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