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词语降秩拆分为汉字:
降字的拼音、笔画、偏旁部首、笔顺、繁体字,降字字源来历,降字演变
1. 降 [jiàng]降 [jiàng]下落,落下:下~。~旨。~临。~旗。空~。减低,贬抑:~低。~价。~职。~解(jiě)。~心相从(抵制自己心志以服从别人)。姓。基本字义● 降xiáng ㄒㄧㄤˊ投降,归顺:宁死不~。降服,使驯服。……
秩字的拼音、笔画、偏旁部首、笔顺、繁体字,秩字字源来历,秩字演变
有条理,不混乱的情况:~序。古代官吏的俸禄:“官人益~,庶人益禄”。古代官职级别:委之常~。贬~三等。十年:七~寿辰。……
汉语拼音:jiàng zhì
The energy of the desired user may lie on a lower dimensional subspace, so the detection can be constrained on a reduced-rank subspace.
又由于期望用户的能量可能位于信号子空间的某一子空间,所以将检测器限制在降秩子空间上是可行的。Simulations have approved that the reduced-rank detection achieves better performance.
仿真表明基于降秩信号子空间的盲多用户检测性能有所提高。Firstly, blind MUD based on signal subspace and reduced-rank subspace are analysed.
首先,分别对基于信号子空间和降秩信号子空间的盲多用户检测进行分析与研究。Generalized Matrix Inversion Training Algorithm for Linear Three-layer Reduced-rank Neural Networks
线性三层降秩神经网络的广义逆矩阵训练算法Numerical Estimates on Singularity and Nonsingularity of Second Order Matrix
二阶矩阵降秩与满秩的数量估计A Descending Rank Approach of Matrix and Its Application
矩阵降秩逼近及其应用Space-Time Adaptive Processor Rank-Reduced by Multistage Nested Wiener Filter
多级嵌套维纳滤波降秩的空时自适应处理器Research on Algorithms for Reduced Rank Adaptive Filtering
降秩自适应滤波算法研究Reduced-rank space-time adaptive processing of measured data
实测数据的降秩空时自适应处理方法矩阵降秩逼近及其应用
A Descending Rank Approach of Matrix and Its Application
二阶矩阵降秩与满秩的数量估计
Numerical Estimates on Singularity and Nonsingularity of Second Order Matrix
运用概率方法, 给出了二阶矩阵降秩与满秩的数量估计。
By using probability method, in this papar were given numerical estimates on singularity and nonsingularity of second order matrix.
降秩自适应滤波算法研究
Research on Algorithms for Reduced Rank Adaptive Filtering
降秩近似法状态估计的研究
The Study of Stare Estimation by Us in g Reduced Rank Approximate Method
多级嵌套维纳滤波降秩的空时自适应处理器
SpaceTime Adaptive Processor RankReduced by Multistage Nested Wiener Filter.
最后通过计算机仿真试验比较了各种降秩处理算法的性能。
The performance comparison of the reduced rank processing algorithms is carried out by computer simulations.
关于矩阵秩的几个降阶公式的等价性
About A Few Declines Arbitrary Formuls Of Matrix Rank As Equivalence
用分块法降阶计算行列式和矩阵求秩算法的探讨
An Approach to the Algorithm for Calculating Determinant and Rank of Matrix by the Method of Partitioning and Descending Order