首先提出了基于单源领域-欠定混合盲辨识(SSRBIUM)的跳频混合矩阵估计方法,在检测的时频支撑邻域基础上,通过构造单源检测因子,完成单源领的英语翻译

首先提出了基于单源领域-欠定混合盲辨识(SSRBIUM)的跳频混合矩阵

首先提出了基于单源领域-欠定混合盲辨识(SSRBIUM)的跳频混合矩阵估计方法,在检测的时频支撑邻域基础上,通过构造单源检测因子,完成单源领域检测,进而构造单源领域特征矩阵,特征分解取最大特征值对应的特征向量,通过聚类完成混合矩阵和跳频信号个数估计;
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结果 (英语) 1: [复制]
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First proposed the art based on a single source - given underestimation Blind Identification Method (SSRBIUM) mixing matrix hopping in the detection frequency on the basis of the supporting neighborhood, by constructing a single source detection factor, detecting the completion of a single field source, and further configured wherein the single field source matrix, wherein the decomposition takes eigenvector corresponding to the maximum eigenvalue of the estimated mixing matrix clustering completion signal and the number of frequency hopping;
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结果 (英语) 2:[复制]
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Firstly, the frequency-hopping hybrid matrix estimation method based on single-source domain-undetermined hybrid blind identification (SSRBIUM) is proposed, and on the basis of the time-frequency support neighborhood of detection, the single-source field detection is completed by constructing the single-source detection factor, and then constructing the single-source domain feature matrix, and the characteristic vector corresponding to the maximum feature value is decomposed. The estimation of the number of mixed matrix and frequency-hopping signals is completed by clustering;
正在翻译中..
结果 (英语) 3:[复制]
复制成功!
Firstly, a frequency hopping mixed matrix estimation method based on single source domain underdetermined mixed blind identification (SSRBIUM) is proposed. On the basis of the time-frequency support neighborhood of the detection, the single source domain detection is completed by constructing a single source detection factor, and then the single source domain feature matrix is constructed Plan;<br>
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