Difference between revisions of "Tikhoind.m"
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[x,err,reg]=tikhoind(K,D,y,lam) | [x,err,reg]=tikhoind(K,D,y,lam) | ||
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K - kernel matrix, may be complex, may be non-square | K - kernel matrix, may be complex, may be non-square | ||
Revision as of 18:52, 5 June 2026
Analytical Tikhonov regularised solution to K*x=y without any constraints (indeterminate output).
Syntax
[x,err,reg]=tikhoind(K,D,y,lam)
Parameters
K - kernel matrix, may be complex, may be non-square
D - regularisation matrix, leave empty to use finite
difference second derivative matrix
y - a column vector, may be complex
lam - Tikhonov regularisation parameter
Outputs
x - a real vector, a minimum of
norm(K*x-y,2)^2+lambda*norm(D*x,2)^2
err - error signal norm(K*x-y,2)^2
reg - regularisation signal norm(D*x,2)^2
Notes
For best numerical performance, scale K to have approximately unit 2-norm, and y to have approximately unit 1-norm.
See also
Version 2.9, authors: Ilya Kuprov