本文重点研究了最简单的子空间方法。
运用特征子空间方法的关键在于信号或噪声子空间的估计。
The key problem of eigen subspace methods is the estimation of signal or noise subspace.
采用最小噪声子空间方法，提出了一种通信信道盲辨识算法。
A new blind identification algorithm for the communication channel is presented by using minimum noise subspace approach.
本文对用于DOA估计的矩阵分解法进行了分析，证明了它是一种子空间方法。
The matrix decomposition method for DOA estimation is analyzed. It is proved that the method is a subspace method.
在去噪算法上本文重点比较了谱相减法、LOGSTSA-MMSE与子空间方法。
The comparison of threes methods, spectral subtraction, LOGSTSA-MMSE and subspace approach, is the major work in researching the noise reduction algorithm.
将快速子空间分解与宽带非相干信号子空间方法相结合，得到了宽带到达角估计快速方法。
Combined the fast subspace decomposition method with the wideband incoherent signal subspace method, a fast wideband incoherent signal subspace DOA estimation method is proposed.
通过与特征系统实现算法仿真结果比较，证明了子空间方法能更有效地降低噪声对参数估计的影响。
The result are compared with that of eigensystem realization algorithm, which proves that the subspace method can reduce the noise influence on the parameters estimate more effectively.
针对加性色噪声背景下的多分量线性调频信号参量估计问题，提出了基于相位差分的时频子空间方法。
For the problem of the parameter estimation of multi-component chirp signal in the additive colored noise, a method based on phase difference and time-frequency signal filter was proposed.
通过实验结果与小波分析结果的对比，证明了基于子空间方法的大规模网络流量异常检测是一种既简单又高效的方法。
Through the comparison of the results from the experiment and wavelet analysis, it shows that network-wide traffic anomaly detection based on subspace method is more simple and effective.
指出了用子空间方法进行DOA估计的关键是：第一，如何将基阵张成的空间划分为信号子空间和噪声子空间；第二。
The paper points out that the key for performing the DOA estimation, using subspace method, is as follows: a) how to divide the space expanded by an array into the signal and noise subspaces;
本文将信号处理中的子空间方法同分层空时码的编码结构相结合，提出了一种垂直分层空时编码，实现了无需训练序列的信道估计。
In this paper, by combining the subspace method with layered space-time codes, we propose a vertical layered space-time code and accomplish the channel estimation without the training symbols.
引出了子空间方法多用户检测的概念，并给出了线性解相关(dec)多用户检测和最小均方误差(MMSE)多用户检测的子空间表示。
Educe the concept of subspace approach for multi-user detection, give out the subspace expression about DEC and MMSE multi-user detection.
为此，本文提出匹配追踪分解与子空间方法结合的方法，带噪语音信号的矢量空间可以认为由一个信号加噪声的子空间和一个纯噪声子空间构成。
To this end, this paper presents matching pursuit decomposition combines with sub-space method. The vector space of noisy speech is considered as a noisy speech space added a pure nose space.
这些扩展元素的最佳实践方法是它们用来引用WSDL 1.1名称空间中任意子元素的，并且这也是在输出绑定中对它们进行处理的方法。
The best practice with these extension elements is for them to precede any child elements from the WSDL 1.1 namespace, and that's the way they're handled in the output binding.
文中基于子空间类测向方法，在远场情况下，提出了一种新的估计阵元位置误差的有源校正算法。
In the case of far field sources, based on the subspace direction-finding technique, a new method for active calibration of array shape is presented.
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。
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.
第二种方法是基于虚拟子载波的子空间盲信道估计方法。
The second method is based on the virtual sub-carrier subspace blind channel estimation method.
子空间系统辨识方法确定系统的阶次是由可观测矩阵的非零奇异值来决定。
The system order is decided by non-zerosingular values of the observation matrix in the subspace state space systemidentification method.
结合牛顿法与子空间迭代的思想，给出了一种求解大型优化问题的方法。
An optimization method for large scale problems which combines Newton method and Interated-Subspace method is proposed.
求解大型稀疏问题最流行的方法是建立在子空间投影技术之上的。
The most popular methods to solve large sparse problems are based on projection techniques on appropriate subspaces.
本文主要介绍和研究了多变量系统辨识的子空间状态空间辨识方法。
We introduce and study the subspace state space system identification method in the paper.
运用特征子空间类高分辨方法的关键在于信号或噪声子空间的估计。
The key problem of eigen-subspace high-resolution methods is estimation of signal or noise subspace.
基于初始状态空间下的子空间概念，提出一种按时间进行切换的最速控制方法，不需要求取开关线或开关面。
A time optimal control method switched by time is put forward in the paper based on the concept of subspace of the initial state space. It doesn't need switching curve or switching surface.
提出了一种基于子空间投影技术的多普勒调频率估计方法。
A Doppler rate estimation method based on sub-space projection technique was proposed.
该文提出了一种基于最差子空间分解聚类的非线性系统模糊辨识方法。
This paper proposed a fuzzy identification method for nonlinear systems which were based on decomposing clustering of the worst subspace.
本文将基于APEX算法的子空间跟踪方法引入辨识算法。
In this paper, a subspace tracking approach based on APEX algorithm is applied in state space model identification.
OFDM系统的LS信道估计可看作真实信道频率响应的一个有噪观察值，因此可采用子空间投影方法对噪声进行压缩。
The LS channel estimation of OFDM systems can be viewed as a noisy observation of the true channel frequency response, so the noise component can be compressed through subspace projecting.
OFDM系统的LS信道估计可看作真实信道频率响应的一个有噪观察值，因此可采用子空间投影方法对噪声进行压缩。
The LS channel estimation of OFDM systems can be viewed as a noisy observation of the true channel frequency response, so the noise component can be compressed through subspace projecting.
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