牠是用“二阶盲辨识(Second-order blind identification，SOBI)算法”处理脑电数据的专家。在此次访问中，Tang教授与罗非研究员带领的感知觉神经编码课题组分享了牠在...
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As the error of the K means clustering method is high,a blind identification method based on single signal detection is proposed.
针对直接聚类算法聚类误差比较大的问题,本文给出一种基于孤立点检测的欠定盲辨识方法。
参考来源 - 一种基于孤立点检测的欠定盲辨识方法Due to the high dimension of autocovariance matrix of receiving signal, it is difficult to implement blind channel estimation by direct SVD. Therefore, we propose tracking the noise subspace adaptively so as to reduce computational complexity.
由于MIMO-OFDM系统中用于信道盲辨识的接收信号向量自相关矩阵的维数很高,采用直接SVD分解的方法运算量太大而难以实现,我们转而提出利用子空间跟踪算法自适应的跟踪噪声子空间以降低算法复杂度。
参考来源 - MIMOFor its outstanding performance in blind identification and feature extraction (or representation), ICA has rapidly growing applications in various fields, e. g. , telecommunication systems, speech processing (blind extraction), image enhancement, and biomedical signal processing.
由于具有优异的盲辨识、特征提取和表示能力,ICA已经日益广泛的应用于远程通信、语音提取(盲辨识)、图像增强和生理信号处理等领域。
参考来源 - 基于最大非高斯估计的独立分量分析理论研究·2,447,543篇论文数据，部分数据来源于NoteExpress
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.
根据最大峰度准则设计了一种针对线性系统的盲辨识与盲均衡算法。
Based on maximum kurtosis criteria, a new blind identification and equalization algorithm is designed for linear system.
本文主要介绍了基于二阶统计量(SOS)的数字通信系统的盲辨识和盲均衡。
In this paper, the problem of blind identification and blind equalization of digital communication systems based on the second-order statistics (SOS) are addressed.
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