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.
基于KLT与滑动dct的相似关系，提出了一种新的特征向量自适应递推估计算法。
A new adaptive recursive algorithm for eigenvector estimation based on the relations between KLT and sliding DCT was presented.
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.
然后我们介绍了常用的滤波技术，重点是以贝叶斯递推估计和蒙特卡罗方法为基础的粒子滤波。
Then we will introduce some common-used filtering techniques. Particle filter which is based on Bayesian estimation and Monte Carlo method will be emphasized.
研究了极化域-空域联合谱的动态更新问题，给出了MUSIC联合谱的自适应递推估计算法。
The adaptive estimation method is presented for the MUSIC joint spectrum in polarizational and spatial domains.
针对时滞、阶数和系数皆未知的离散时间线性随机控制系统（ARMAX模型），提出一种对时滞、阶数和系数同时进行递推估计的算法。
This paper proposes a new recursive estimate algorithm for unknown time-delay, orders and coefficients of linear discrete-time stochastic control systems (ARMAX model).
实时估计出系统噪声方差矩阵和量测噪声方差矩阵，对状态变量进行灰色聚类，并对滤波矩阵和增益矩阵进行实时自适应调整，计算出状态向量的递推估计值。
Based on real-time estimation of noise matrix and grey clustering of state variable, filter or gain matrix is modulated so as to get an estimation of the state vector.
实时估计出系统噪声方差矩阵和量测噪声方差矩阵，对状态变量进行灰色聚类，并对滤波矩阵和增益矩阵进行实时自适应调整，计算出状态向量的递推估计值。
Based on real-time estimation of noise matrix and grey clustering of state variable, filter or gain matrix is modulated so as to get an estimation of the state vector.
应用推荐