Description Usage Arguments Details Value
Solve the linear system h [n x l] * w_out [l x c] = y [n x c]
1 | solve_system(object, ...)
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h |
a |
solve |
a |
y |
a |
The Moore-Penrose generalized inverse is found by using orthogonal projection. The two correlation matrices hh = t(h) * h and ht = t(h) * y are computed. The final squared linear system solved is: hh [l x l] * w_out [l x c] = ht [n x c] Orthogonal projection is used to compute the generalized inverse of the matrixUse orthogonal projection - correlation matrices
w_out a matrix
of dimensions [l x c] with the output weights
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