| 1. | Spatial spectrum estimation techniques for satellite interference localization
空间谱估计方法在卫星干扰源定位中的应用 |
| 2. | Phased array system is an important application field of spatial spectrum estimation techniques
相控阵系统是空间谱估计测向技术的一个重要的应用领域。 |
| 3. | Spatial spectra of neural electric activities and their application in study of visual spatial selective attention
脑电源的空间谱及其在视觉空间选择性注意研究中的应用 |
| 4. | The main studied topic of spatial spectrum estimation is the direction of arrival ( doa ) of spatial signals
空间谱估计的研究主题是在处理带宽内空间信号的到达方向( doa ， directionofarrival ) 。 |
| 5. | Due to the limitation of this algorithm , this dissertation proposes two improved methods : one - dimension noise subspace - based spatial spectrum estimation algorithm and improved music algorithm
针对算法的此局限性,本文提出了两种改进方法:基于一维噪声子空间方法的空间谱估计算法和改进music算法。 |
| 6. | Among the algorithms of doa estimation , as the super - resolution spatial spectrum estimation technique , multiple signal classification ( music ) algorithm is one of the most classical algorithms
在对信号doa估计的算法中,作为超分辨空间谱估计技术的music ( multiplesignalclassification )算法是最经典的算法之一。 |
| 7. | By analysis of the intermediate frequency signals which through eight antennae and receiver channels , eight channels radio spatial spectrum direction finding system can reach the purpose of finding radio direction
八通道无线电空间谱测向系统通过分析经过八路天线和接收机通道以后的中频信号达到确定无线电信号方向的目的。 |
| 8. | The main content of this paper as follows : first of all , the imaging principle in theory of the aft is analyzed : the spatial spectrum of the target is extracted while the three fringes moving across the target , then the image is reconstructed use the algorithms
本文的主要工作如下:首先,理论分析了aft的成像原理:利用3幅干涉条纹扫描目标对目标空间频谱信息进行抽取,利用还原算法重构目标的图像。 |
| 9. | It has more than twenty years since the eigen - decomposition spatial spectrum estimation algorithm was presented . and a lot of efficient methods have been proposed . but most of them are based on the element outputs of the array , namely method at element level
对基于特征分解的空间谱估计测向技术的研究已进行了二十余年,并已提出了许多有效的方法,但它们绝大多数都需要已知所有阵元的输出,即为基于阵元级的方法。 |
| 10. | To solve the problem that the present 2 - d temporal - spatial spectrum estimation algorithms are deteriorated when the number of signals become close to the dimension of the array , a kind of new signal model and approach for 2 - d temporal - spatial spectrum estimation is proposed
摘要针对现有空时二维谱估计算法在信号数增大时均不同程度出现性能上的恶化直至失致的问题，总结了目前通用的空时二维谱估计信号模型，提出了“时域副流形”的概念及相应的信号处理方法。 |
