Imho, add a median filter to FILTER #1 (the one that works better). This
will throw out values that exceed x before the filter is reached. You can
implement this by lengthening the 'storage' in filter1. Make it a small
vector instead of just 'old' and allow the update iff the new value
exceeds the old by x for more than one sample. A two long 'store' vector
may be enough but plan for three and surprize yourself.

Peter

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