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We iterate superposed band detection based on P if(l).
When (hat {sigma }_{text {if}}^{2}(l)~=~0), which corresponds to non-superposed bands, P if(l) gets always 0.5.
If L = 1, we call T nonexpansive.
If L s) coincides with the diagonal everyone is equally off.
If L = 1, the problem reduces to SMV.
If l j + > 0, we will get a contradiction similarly.
If L is too large, BER performance is improved.
If L = 1, the algorithm is reduced to OMP method.
If L = 1, then T is called nonexpansive, and if L < 1, then T is called a contraction.
If l can count on your ability and tranparent honesty in business, then we will talk about it.
If L = 1, then T is called nonexpansive and if 0 ≤ L < 1, then T is called contractive.
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