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Stopping criteria

Several criteria may be used to stop the iterative search of this ``matching pursuit'':

Choosing the good stopping criterion is important because the deconvolution must go deep enough to be correct but CLEAN algorithms start to diverge when the noise is cleaned too deep. A good compromise is to clean up to or slightly below (typically $0.5\sigma$) the noise level.


next up previous contents index
Next: Formation of the CLEAN Up: The family of CLEAN Previous: CLEAN ideas   Contents   Index
Gildas manager 2018-06-16