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考虑了未知系统数据样本在复平面单位圆周上任意采样时的鲁棒辨识问题 ,围绕着充分利用快速傅立叶算法及更有效的利用验后信息 ,提出了一种有效的数据处理方式 ,获得了辨识算法的鲁棒收敛性
Considering the robust identification problem of unknown systematic data samples sampled arbitrarily on the unit plane of the complex plane, an efficient method of data processing is put forward to make full use of the fast Fourier algorithm and more effective post-test information, Robust Convergence of Algorithms