本文首先介绍了SIMO系统的子空间算法。
Firstly, this paper describes the subspace method of single-input multiple-output (SIMO) systems.
介绍了一维噪声子空间算法的基本思想、原理以及算法步骤。
This paper analyses the thought and approach of Noise-Subspace of One dimension algorithm.
使用仿射变换内点回代技术的信赖域子空间算法解线性不等式约束的非线性优化问题。
We present an affine scaling trust region algorithm with interior back - tracking and subspace techniques for nonlinear optimizations subject to linear inequality constraints.
分析了MUSIC算法和一维噪声子空间算法的性能，研究了多径衰落对这两种算法的影响。
We not only analyse performance of MUSIC algorithm and 1-d noise subspace algorithm but also investigate the effect of multipath on these two algorithms.
提出了改进的特征结构子空间算法，采用二维联合估计方法，解决了原算法存在的角度估计模糊问题。
A new approach is presented of the eigen-structure subspace algorithms, the problem of ambiguous estimation in the original algorithm is solved and array architecture is optimized.
改进的多用户检测算法将子空间算法和约束优化算法结合起来，在强干扰信道中能有效提高系统性能。
This algorithm joint the constrained optimization algorithm and subspace algorithm, can improve the system performance in strong interfere environment.
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.
通过对相关矩阵进行特征值分解，估计信号子空间和噪声子空间，并利用MU S IC算法估计宽带LF M信号的波达方向。
Through estimating the signal and noise subspaces with the eigen-decomposition of the correlation matrix, the MUSIC algorithm is used to estimate the DOAs of LFM sources.
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.
该算法把常规自适应天线相消法的权矢量向信号子空间投影，减小了噪声子空间对权矢量的影响。
The algorithm projects the LC- MVB weight vector onto the signal subspace, thus the effect of the noise subspace on the weight vector is reduced.
使用一种修改的ULV更新算法进行噪声子空间跟踪，该算法不需要相关矩阵的秩估计，直接估计噪声子空间。
A modified ULV updating algorithm. is applied to performing noise subspace tracking. The algorithm does not require rank estimation of the correlation matrix, and estimate directly the noise subspace.
研究了改进的基于特征子空间的平滑算法，加深了零陷深度，提高了系统的信噪比。
The improved smooth algorithm based on the characteristic sub-space used deepen the null to fall the depth, enhanced the system's signal to noise ratio.
改进算法利用总体最小二乘法得到噪声子空间。
The total least squares method was used in the improved algorithm to obtain the noise subspace.
理论分析和仿真结果表明，该算法对基于趋势表示的子序列搜索在时间和空间上都具有更优的性能，适用于时间序列的动态特征分析。
Theoretic analysis and simulation indicate that the algorithm has better performance for sub-trend searching in temporal and space, and is useful in time series dynamic feature analysis.
针对向量空间模型在文档相似度量方面的局限，提出了基于计算公共子串的文档相似度量算法。
In respect to the limitation of document similarity measuring based on VSM, this paper put forward an algorithm based on public substring of strings.
论文从实际应用的角度出发，全面论述了子空间类多目标方位估计和跟踪算法的理论和方法。
Aiming at the applications in engineering, the principles of subspace algorithms about the DOAs estimating and tracking are discussed comprehensively in this dissertation.
该算法通过将整个搜索空间分割成若干子空间，在这些子空间上利用嵌入零搜索算子的微粒群算法进行优化。
The algorithm divides the whole search space into a number of sub-spaces, which are optimized by utilizing the PSO embedded zero search operators.
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.
文中使用了改进的子空间跟踪信道估计算法，并仿真了不同信道估计方法、合并方法下系统的误比特率性能。
We use a modified subspace tracking channel estimation algorithm and simulate the system BER performance under different channel estimation approaches and combining methods.
基于投影估计子空间跟踪算法提出了一种新的可用于时变结构模态参数识别的递推子空间方法。
A novel recursive subspace method is presented for pseudo-modal parameter identification of time-varying structures based on projection approximation subspace tracking algorithm.
采用子空间模态分析法建立了适合一致地震激励下桥梁振动控制分析的瞬时最优控制算法。
The Instantaneous Optimal Control(IOC) algorithm suitability for the vibration control analysis of bridges under uniform earthquake excitation is proposed based on the subspace mode analysis method.
该方法通过修正generate算法，以状态概率不增的次序生成了网络的最大概值有效状态，构成网络状态空间的满足给定范围概率的子空间。
By improving generate Algorithm, we generate the most probable effective states in order of non-increasing probability and form a subspace with some coverage probability.
本文模仿人类视觉系统的特点，提出了融合局部和整体特征子空间的算法。
So a FR algorithm is designed by fusing holistic and local features in subspaces, which is inspired by Human Visual System (HVS).
该算法基于子空间分解技术，利用信号子空间和噪声子空间的正交性将两者分离。
The algorithm is based on the subspace decomposition technique. The signal subspace is separates from the noise subspace by making use of the orthogonality between them.
基于子空间分解的ESPRIT算法常用在阵列处理中对目标进行DOA估计。
ESPRIT algorithm based on subspace decomposition is usually used to estimate the direction of arrival (DOA) of source in array signal processing.
对于基于子空间的多用户检测算法，本文主要从子空间跟踪角度入手，针对传统方法跟踪速度慢，性能不稳定的问题，提出了两种改进算法。
As for subspace based MUD, two improved algorithms are shown from the point of view of subspace tracking to solve the problems of slow tracking and unstable performance in traditional methods.
通过对OFDM的子信道比特分配空间进行分析，本文提出着眼于误比特概率梯度的动态lms算法和全局优化算法。
In this paper, dynamical LMS algorithm and global optimization algorithm, with a view to gradient of error probability, are proposed based on analysis of sub-carries allocation space for OFDM system.
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.
该算法在数学形式上可等效为等增益合并的形式，并可分别由子空间和最小最大滤波的方法来求解。
This blind adaptive algorithm was studied without channel estimation. The algorithm is equivalent to an equal gain combining in mathematics form.
该算法在数学形式上可等效为等增益合并的形式，并可分别由子空间和最小最大滤波的方法来求解。
This blind adaptive algorithm was studied without channel estimation. The algorithm is equivalent to an equal gain combining in mathematics form.
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