1) decomposition and iteration
分解与迭代
1.
During the course of the modeling and analysis, decomposition and iteration are introduced to solve the famous "state-explosion" problem resulted from the extending scale.
在建模分析的过程中,通过逐步分解与迭代,解决了因系统规模扩充所带来的著名的状态爆炸问题,其结果证明了概算法的有效性与可行性。
2) Breaking Recurrently
迭代分解
3) resolution iterative
分解迭代
4) iterative QR decomposition
迭代QR分解
1.
An improved MMSE(minimum mean square error) V-BLAST algorithm based on iterative QR decomposition is proposed to solve the problem that the complexity of detection becomes higher because lots of pseudo-inverse operations have to be taken when detecting the receiving end of MIMO system with MMSE algorithm.
针对采用最小均方误差(minimum mean square error,MMSE)检测算法在MIMO系统接收端进行检测时,需要进行大量伪逆运算导致检测复杂度增加的问题,提出了用一种基于迭代QR分解的MMSE V-BLAST算法,避免了伪逆运算,有效地降低了检测算法的复杂度,使系统检测性能得到了明显改善。
2.
A Direction of Arrival(DOA)estimation algorithm based on iterative QR decomposition is proposed in this paper.
提出了一种基于迭代QR分解的信源到达角(DOA)估计技术。
5) iterative decomposition method
迭代分解法
6) decomposition and iteration algorithm
分解迭代法
补充资料：层层迭迭
1.见"层层迭迭"。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条