Can anyone help me understand these functions described in the paper Noise2Noise: Learning Image Restoration without Clean Data

I have read the portion A.4 in the appendix but need a more detailed and easier to understand explanation. Especially where signum or sign function (sgn) is coming from along with other explanations.


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