subspace
美 ['sʌbˌspeɪs]英 ['sʌbspeɪs]
- n.【数】子空间
- 网络子空间法；两子空间夹角；子空间之间的角度
subspacesubspace
子空间
子空间（Subspace）：该方法采用子空间迭代技术，默认使用的求解器是雅可比共扼梯度求解器JCG。由于该方法采用完整的[…
子空间法
求解方法选取子空间法（Subspace），因为子空间法适合用于大型矩阵特征值问题的求解，结果比较精确。通过ANSYS对悬臂 …
两子空间夹角
MATLAB函数大全 ... subplot 创建子图 subspace 两子空间夹角 sum 元素和 ...
子空间之间的角度
matlab函数大全 ... gradient 梯度 subspace 子空间之间的角度 conv 卷积和多项式相乘 ...
子空间的角度
matlab函数大全 ... trace 迹 subspace 子空间的角度 cond 矩阵条件数 ...
子空间迭代法
2. 子空间迭代法(subspace)： 通常用于大型结构中，仅探讨前几个振动频率，所得到结果较准确，不需要定义主自由 度，但需 …
两个子空间的夹角
MATLAB常用工具箱函数注释 -... ... Det 矩阵行列式的值 Subspace 两个子空间的夹角 Norm 矩阵或向量的范数 ...
次空间法
‧次空间法 (Subspace)‧降阶法 (Reduced)‧QR-阻尼法 (QR-Damped (damped eigenvalues)) ‧循环对称 (Cyclic symmetry)‧次模型 …
1
Since the wavelets possess symmetry and interpolation, the sampling theorem on approximation subspace is established easily.
用该方法构造出的小波具有插值性和对称性，因而容易建立信号采样定理。
2
Partial differential equations are solved by first discretizing the equation, bringing it into a finite-dimensional subspace.
偏微分方程求解第一离散方程，使之成为一个有限维子空间。
3
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。
4
Firstly, by utilizing the signal structure characteristic and subspace-based method, multi-users' carrier frequency offsets can be obtained.
首先利用信号的结构特性并借助于子空间的方法估计得到多用户的频率偏移；
5
appearance tracking, where the target visual appearances fora short time interval are represented as a linear subspace.
外观跟踪，其中目标视觉表象论坛短的时间间隔为一个线性子空间的代表。
6
Their main feature is, at each iteration, to search for an optimal solution in the subspace.
这类方法的基本特征是每次迭代在一个低维子空间寻找最优点。
7
By numeric experimentation, identification precision and efficiency of the two subspace methods is analyzed under different noise.
通过数值试验，分析了不同噪声水准下两种子空间的识别精度和效率。
8
The story arch revolves around the discovery of bio-cyberspace existing in human brains (kinda like subspace in outer space).
故事主线是围绕着人们发现了人脑中存在着一种生物互联网络（有点像外太空的亚空间）。
9
Through the simulation experiments, it checks the validity of the closed-loop subspace model identification.
通过仿真实验，验证了闭环子空间模型辨识（closed-loopSMI）算法的有效性。
10
introducing a self-adaptive mechanism to adjust the dimension of the search subspace as the searching range changed.
提出一种根据演化的进度能自动调整搜索范围的自适应机制。
11
We propose a subspace interior point trust region method to solve this type of problems, and our method does not need parameterization.
我们提出了一个子空间的内点信赖域算法来求解这个问题，这种方法不需要引入参数或者变换。
12
The characteristic subspace is structured, then the face recognition is implemented in the characteristic subspace.
构造了特征子空间，并在特征子空间内实现脸部识别。
13
In machine learning, subspace information criterion(SIC) gives an unbiased estimate of the generalization error.
在机器学习中，子空间信息准则给出推广误差的一种无偏估计。
14
We first fit the subspace to the detected trajectories robustly using RANSAC and then remove those that have large residuals.
我们第一次合适的子空间的轨迹鲁检测然后用RANSAC移除那些大型后遗症。
15
The main contributions of this paper are listed as follows. (1) An incremental tensor subspace learning based object tracking is presented.
主要研究内容包括：（1）提出一种增量式张量子空间学习的目标跟踪算法。
16
A subspace-based state space system identification method is applied to identify the model of rotorcraft in hover.
基于其离散状态空间模型，采用子空间方法进行线性系统识别。
17
Subspace methods for face recognition , image representation , image metric, and ensemble learning .
子空间法人脸识别，图像的表示，图像距离度量，多分类器组合。
18
Compared with general statistical feature subspace, less operation was needed in forming the adaptive feature subspace.
同时，与常规特征子空间相比，建立自适应特征子空间的运算量大为减少。
19
In this paper, an incremental tensor subspace learning algorithm is proposed to model and update the object appearance in tensor subspace.
为此，本文提出了一种增量张量子空间学习算法，用于跟踪目标的建模与模型更新。
20
Thirdly, standardization and dimension reduction are performed to classify signals in each signal subspace.
再次，对每一个子空间信号特征向量进行标准化、降维和分类；
21
The high resolution of noise subspace processing is remained, and robustness via signal subspace processing is improved in this method.
新方法保持了噪声子空间处理的高分辨力，并通过信号子空间处理提高了对有限数据误差的稳健性。
22
We researched the subspace eigenvalue decomposition and weighted subspace fitting techniques in the beam space.
在波束空间内，研究了相干信源子空间分解技术和加权子空间拟合技术。
23
Scientists on Earth first confirm existence of the subspace domain.
地球科学家首次确认子空间的存在。
24
A new blind identification algorithm for the communication channel is presented by using minimum noise subspace approach.
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。
25
Then, we give a closed-form solution to this subspace tracking problem and also provide a practical iterative algorithm.
然后，本人们给出一个封锁方式解这个子空间跟踪问题，并供给实践迭代算法。
26
Several numerical examples show the effectiveness of TNP and subspace truncated-Newton algorithm for solving the OCP.
计算实例表明了时间节点参数化方法和子空间截断牛顿法在最优控制问题求解中的有效性。
27
By utilizing subspace projection, this paper proposes a new anti-jamming algorithm for conventional multi-beam forming.
提出了一种基于子空间投影的常规多波束抗干扰算法。
28
A criteria for detection is derived based theasymptotical analysis of the orthogonality between signal and noise subspace.
对信号子空间和噪声子空间的正交性进行了分析得出新的估计准则。
29
The isomorphic conditions of some lattices generated by transitive sets of subspace under finite pseudo-symplectic groups are discussed.
文章讨论了伪辛群作用下子空间轨道生成的格的同构条件。
30
A novel sparsity adaptive subspace pursuit algorithm is proposed for sparse signals with unknown sparsity.
针对压缩采样中未知稀疏度的信号，本文提出一种自适应子空间追踪算法。