weight subspace fitting 加权子空间拟和
The algorithm projects the LC- MVB weight vector onto the signal subspace, thus the effect of the noise subspace on the weight vector is reduced.
该算法把常规自适应天线相消法的权矢量向信号子空间投影，减小了噪声子空间对权矢量的影响。
Through the cyclic subspace regression (CSR) being applied to determine the weight of the RBF networks, the RBF-CSR model is produced.
将循环子空间回归（CSR）引入到RBF网络中，建立了RBF—CSR模型，并将它应用于实际化工过程。
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