Next a subspace-based blind estimation algorithm for MIMO-OFDM system is presented. Instead of singularity value decomposition of the traditional noise subspace channel estimation, the algorithm made use of signal subspace iterative fitting to obtain subspace to estimate channel .
提出了一种新的空时编码MIMO-OFDM系统模型,并针对该模型提出了一种基于子空间的盲信道估计算法,该算法采用信号子空间迭代拟合技术代替了传统的噪声子空间信道估计中奇异值分解获取子空间进行信道估计。
参考来源 - 一种基于子空间的MIMO·2,447,543篇论文数据，部分数据来源于NoteExpress
目前算法可以分成两类：即闭形解和最小二乘迭代拟合。
The algorithms can be classified into two categories: a closed form solution and an iterative least squares fitting.
基于局部域上象元的整体相关性和基图象纹理连续性，对已知象元进行迭代拟合，同时修复多点缺损数据。
Based upon texture feature and whole interrelation of, pixels in local region, an iterative algorithms of approximation to known pixels was performed to restore the damaged data.
为提高噪声环境下椭圆类物体形状检测算法的稳定性与准确性，本文提出非线性数据拟合模型结合交叉参考迭代的新思路。
To solve the problem of ellipse - object - shape parameters detection in noise image, a new detection algorithm using nonlinear data fitting model and cross-reference iterative method is proposed.
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