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The parameter update algorithm is given as follows.
Then the adaptive Legendre filter structure and adaptive weight update algorithm are derived.
Price update algorithm: At times, decoupled prices are updated according to.
The local update algorithm consists of several iterating steps, which are calculated as sequence of calculations.
The second part of this algorithm works based on push, or the local update algorithm.
Backpropagation can be regarded as the most popular weight update algorithm for training MLP.
The joint beamforming and power control update algorithm is given in Table 1.
The update algorithm, (13), requires p × q real-by-complex multiplication and p × q complex addition.
A channel update algorithm using single tap Kalman filters is then derived and evaluated.
Table 1 The joint beamforming and power control update algorithm 1.
A novel channel update algorithm to track the channel is then introduced.
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