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。
With this model, the blind multiuser detection and iterative algorithm of MC-CDMA systems based on subspace projection are studied in the multipath fading channel.
由于其在对抗多径衰落方面具有显著的效果，它适合于在无线移动通信信道下使用，因而得到广泛的研究。
In this paper, a novel tensor subspace learning algorithm, tensor locality discriminant projection, is proposed.
本文提出了一种新的张量子空间的学习算法：张量局部判别投影。
A novel recursive subspace method is developed based on fixed length moving window (FLMW) projection approximation used for estimating the modal parameter of linear time-varying structural system.
给出了一个新的用于线性时变参数结构系统模态参数识别的基于固定长度平移窗投影估计的递推子空间方法。
A novel recursive subspace method is presented for pseudo-modal parameter identification of time-varying structures based on projection approximation subspace tracking algorithm.
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。
Therefore, the LSM algorithm is used to compute the orthogonal projection of the signal or residual signal onto the corresponding subspace spanned by these atoms.
为此，我们利用最小二乘方法计算信号(或残差信号)在相应子空间上的正交投影。
Active shape Models use the orthogonal projection to the shape subspace, neglecting the information during the search procedure.
主动形状模型在搜索过程中采用形状子空间的正交投影，而且没有利用搜索过程中的评价信息。
Random Sampling Subspace Locality Preserving Projection (RSSLPP) method is proposed to improve the recognition performance of a single Locality Preserving Projection (LPP).
针对单一保局投影(LPP)算法分类识别能力弱的问题，提出了一种随机采样子空间保局投影算法(RSSLPP)。
In this paper, the orthogonal projection approximation subspace tracking (OPAST) is employed for channel estimation and space-time multiuser detection in space-time block coded MIMO system.
文章提出在空时分组编码的MIMO系统中利用OPAST这种子空间追踪算法进行盲空时多用户检测。
Using interference cancellation of the known users' signal and subspace tracking for unknown users' signal subspace, the orthogonal projection matrix of the unknown users' signal subspace is obtained.
首先，利用已知用户数据的初始估计，从接收信号中减去已知用户的影响。
Using interference cancellation of the known users' signal and subspace tracking for unknown users' signal subspace, the orthogonal projection matrix of the unknown users' signal subspace is obtained.
首先，利用已知用户数据的初始估计，从接收信号中减去已知用户的影响。
应用推荐