本文提出了一种全新的双线性模型参数递推估计算法。
A new recursive least-squares algorithm is proposed for estimating parameters of the bilin-ear model.
本文利用高阶循环统计量讨论几乎周期滑动平均(apma)信号参数的闭式递推估计。
This paper deals with the closed form recursive estimation for parameters of almost periodic moving average (APMA) signal using higher order cyclic statistics.
最后讨论了随机系统参数递推估算的综合方法。
Finally, a synthesis method for recursive parameter estimation of a stochastic system is also discussed.
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