The algorithms can be classified into two categories: a closed form solution and an iterativeleastsquares fitting.
目前算法可以分成两类:即闭形解和最小二乘迭代拟合。
2
Based on the iterativeleastsquares principle, two least-squares-iterative algorithms are developed for CARMA models and output error models.
基于迭代最小二乘原理,提出了辨识CARMA模型和输出误差模型参数的最小迭代算法。
3
Then, the whitened dimension-reduced data vector as a single user model is looked, the IterativeLeastSquares (ILS) detection and Minimum Mean Square Error (MMSE) detection are researched.