Furthermore the source number estimation method based on theory of MDL and the algorithm of MUSIC based on sub-space projection technique are also introduced briefly.
并且简单介绍了基于最小描述长度(MDL)原理的信源数目估计方法以及基于子空间投影技术的MU SIC算法。
The improved smooth algorithm based on the characteristic sub-space used deepen the null to fall the depth, enhanced the system's signal to noise ratio.
研究了改进的基于特征子空间的平滑算法，加深了零陷深度，提高了系统的信噪比。
The algorithm divides the whole search space into a number of sub-spaces, which are optimized by utilizing the PSO embedded zero search operators.
该算法通过将整个搜索空间分割成若干子空间，在这些子空间上利用嵌入零搜索算子的微粒群算法进行优化。
Theoretic analysis and simulation indicate that the algorithm has better performance for sub-trend searching in temporal and space, and is useful in time series dynamic feature analysis.
理论分析和仿真结果表明，该算法对基于趋势表示的子序列搜索在时间和空间上都具有更优的性能，适用于时间序列的动态特征分析。
In this paper, dynamical LMS algorithm and global optimization algorithm, with a view to gradient of error probability, are proposed based on analysis of sub-carries allocation space for OFDM system.
通过对OFDM的子信道比特分配空间进行分析，本文提出着眼于误比特概率梯度的动态lms算法和全局优化算法。
But the blind estimation algorithm, for example, the sub-space decomposition, is not good for real time estimation because it requires large received signals, and has low estimation convergence rate.
但盲估计算法，如子空间分解法等，需要较大的样本值，收敛速率慢，不利于实时信道估计。
So, a kind of iterative learning control algorithm is given based on confirming comparative degree of X-Y table system, and it is applied to the force control sub-space.
对此，在确定X-Y定位平台系统相对度的基础上提出一种送代学习控制律，并将其应用在力控制部分。
It makes the search space some sub-region, USES the PSO algorithm to optimize in each region, compares these sub - region global optimums and finds out the search space global optimums.
将搜索空间划分成若干个子区域，在各个子区域中均使用标准P SO算法进行寻优，通过比较各个子区域的全局最优解，从而得出整个搜索空间的全局最优。
In this paper, based on the fourth-order cumulant matrix, a new sub-space decomposition algorithm is proposed for the EEG inverse problem.
基于四阶累积量矩阵的子空间分解，提出了一种新的脑电逆问题算法。
In this paper, based on the fourth-order cumulant matrix, a new sub-space decomposition algorithm is proposed for the EEG inverse problem.
基于四阶累积量矩阵的子空间分解，提出了一种新的脑电逆问题算法。
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