您要查找的是不是：
- The improved Akaike information criterion (AIC) is adopted to estimate the dimension of the signal subspace during the subspace tracking. 在子空间追踪中,提出了用一种改进的AIC准则进行维数估计。
- Simulation shows that new algorithm can quickly follow the dynamic signal subspace, which in turn enhances the performance of those CDMA MUD methods which are based on the subspace tracking result. 仿真结果表明，该算法能迅速地跟踪维数变化了的信号子空间，从而提高基于该跟踪结果的CDMA多用户检测算法的性能。
- signal subspace tracking 信号子空间跟踪
- Conventional subspace based algorithms for DOA evaluation estimate the DOA parameters by tracking either the signal subspace or noise subspace of the covariance matrix of the received signal. DOA估计的子空间方法主要是通过估计信号协方差矩阵的信号子空间或者噪声子空间来求出信号的DOA参数。
- It brings up a new DS-CDMA multiuser interference suppression receiver with a subspace tracking adaptive array. 提出了一种新的基于子空间跟踪的自适应阵DS-CDMA多用户干扰抑制接收机。
- Results Furthermore, a modified ULV updating algorithm is applied to performing noise subspace tracking. 结果使用一种修改的ULV更新算法进行噪声子空间跟踪。
- These estimators include the signal subspace methods, ESPRIT and WSF. They possess good statistical performance. 子空间类方法、esprit和WSF是几种典型的高分辨方位估计方法,它们具有良好的统计性能。
- In this dissertation, DOA estimation algorithm based on incoherent signal subspace method(ISM) is presented simply. 文中也简单介绍了基于非相干信号子空间的处理的DOA估计算法。
- With combination of the above subspace tracking algorithm with SVD-ESPRIT algorithm, an adaptive ESPRIT algorithm is presented to track the time varying DOAs. 将该跟踪算法与SVD -esprit算法相结合 ,得到的自适应esprit算法可用于对时变的信号DOA进行跟踪估计。
- The proposed detector uses singular values and singular vectors of the signal subspace in a linear MMSE multiuser detector for the DS CDMA system. 提出了一种基于奇异值和奇异向量的盲自适应多用户检测方法。
- 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。
- After acquired the number of signal sources,by choosing the signal subspace or noise subspace the spatial spectrum is computed. 在判定出信号源个数后,有选择地使用信号子空间或噪声子空间去计算空间谱,进一步减少计算量。
- The algorithm projects the LCMVB weight vector onto the signal subspace,thus the effect of the noise subspace on the weight vector is reduced. 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。
- After sunspace decomposition, the close form solution of channel matrix could be obtained, according to the orthogonality of signal subspace and noise subspace. 然后求出重构信道矩阵的噪声子空间，之后利用信号子空间与噪声子空间正交特性，构造出信道矩阵作为变量的线性方程组，因而可以得到信道矩阵的闭式解。
- Aiming at the performance of MUSIC algorithm decreases in DOA estimation with snapshot deficient scenario, a new method based on weighted signal subspace projection is proposed. 摘要针对MUSIC算法在小快拍条件下DOA估计时性能降低的缺点，提出采用加权信号子空间投影的方法加以改善。
- Secondly, we take signal subspace approach method to cancel noises from the result of first step.The computer simulations show that this method can bring good effects. 仿真试验结果表明：把自适应波束形成技术和信号子空间逼近的方法结合起来，能够得到良好的去噪效果。
- 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；
- Using covariation concept in array signal processing, the proposed algorithm can obtain clean speech signal subspace by eigen-decomposition of the covariation coefficient matrix of speech signal corrupted by impulsive noise. 该算法把阵列信号处理中的协变异应用到语音增强中，对带噪语音信号的协变异系数矩阵进行特征值分解得到纯净语音信号的子空间。
- Compared to the GEIB, the ELCMVB removes the computation of the modified signal subspace and overcomes the numerical instability.Null constraints hardly affect the performance of the ELCMVB. 与GEIB相比,ELCMVB不用计算修改的信号子空间,避免了因计算修改信号子空间而容易造成的计算不稳定性,且其波束形成性能基本上不受零点约束位置的影响。
- In this method，the additive noise is removed using signal subspace approach at first，then the information complexity based method is used to detect the endpoints for the enhanced speech. 该方法先利用信号子空间法去除加性噪声，再对增强后的语音利用信息复杂度进行端点检测。
