Define: [1] Iteration stopping criterion: the normalized difference between labels predicted in two successive iterations being less than a predefined threshold δ3. |
[2] Algorithm1{F0} represents performing Algorithm 1 with a frequency band F0; similarly, Algorithm2{Q0} means performing Algorithm 2 with a given subset of channels Q0. |
Input: a frequency band F0
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iter = 1 |
Repeat |
Qs = Algorithm1{F0}, |
Fs = Algorithm2{Qs}, corresponding predicted labels
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iter = iter + 1 |
Until stopping criterion satisfied |
Output: the frequency band Fs, the subset of channels Qs and the corresponding labels
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