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SubspacebasedblindadaptivemultiuserdetectionusingK
- A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estima
低秩表示
- robust recovery of subspace structures by low rank representation
SubspacebasedblindsemiblindchannelestimationforOFD
- 基于子空间的OFDM系统半盲信道估计,是IEEE上的经典文章,请同学们相交流.-Subspace-based blind and semi-blind channel estimation for OFDMsystems(120,2002
High
- This paper presents a clustering approach which estimates the specific subspace and the intrinsic dimension of each class. Our approach adapts the Gaussian mixture model framework to high-dimensional data and estimates the parameters which best
doctor-paper
- 2009-浙大-面向人脸识别的子空间分析和分类方法研究.nh-2009- Zhejiang University- subspace for face recognition analysis and classification method. Nh
principal-component-analysis
- The key concept in principal component analysis (PCA) is to reduce a high dimensional data volume into a lower dimensional space, where the low dimensional data con-tams most of the useful information/variance contained in the original data set. The
LQG-performance-assessment
- 基于子空间辨识的LQG基准的控制系统性能评价-Control system performance subspace of LQG benchmark uation based on
Subspace-clustering
- 过去的几年见证了一个explo比如来源和形式。例如,数以百万计的摄像机被安装在建筑物、街道、机场、城市和世界各地。这造成了巨大的进步如何获取、压缩、存储、传输和处理大量复杂的高维数据。-he past few years have witnessed an explo- ple sources and modalities. For example,millions of cameras have been installed in buildings, streets, airports, a
mieHKUNearField
- this program is used for beamforming process using capon, bartlett and subspace methods (Esprit, music, ...). this program is used for beamforming process using capon, bartlett and subspace methods (Esprit, music, ...).