[图书][B] Sensor array signal processing
PS Naidu - 2009 - taylorfrancis.com
Since publication of the first edition of Sensor Array Signal Processing in 2000, the field it
heralded has come of age. Sensor arrays helped usher in the age of wireless …
heralded has come of age. Sensor arrays helped usher in the age of wireless …
Adaptive eigensubspace algorithms for direction or frequency estimation and tracking
The authors present an adaptive estimator of the complete noise or signal subspace of a
sample covariance matrix as well as the estimator's practical implementations. The general …
sample covariance matrix as well as the estimator's practical implementations. The general …
Maximum likelihood estimation and MUSIC in array localization signal processing: A review
NE Hurt - Multidimensional Systems and Signal Processing, 1990 - Springer
Algorithms to treat the maximum likelihood (ML) estimation problem in array localization
signal processing are reviewed, including the alternating projection method, the iterative …
signal processing are reviewed, including the alternating projection method, the iterative …
Adaptive estimation of eigensubspace
G Mathew, VU Reddy… - IEEE Transactions on …, 1995 - ieeexplore.ieee.org
In a recent work we recast the problem of estimating the minimum eigenvector (eigenvector
corresponding to the minimum eigenvalue) of a symmetric positive definite matrix into a …
corresponding to the minimum eigenvalue) of a symmetric positive definite matrix into a …
Adaptive algorithms for estimating eigenvectors of correlation type matrices
J Karhunen - ICASSP'84. IEEE International Conference on …, 1984 - ieeexplore.ieee.org
In several applications of signal processing recursive algorithms for estimating a few
eigenvectors of correlation or covariance matrices directly from the incoming samples are …
eigenvectors of correlation or covariance matrices directly from the incoming samples are …
Adaptive minor component extraction with modular structure
S Ouyang, Z Bao, GS Liao… - IEEE Transactions on …, 2001 - ieeexplore.ieee.org
An information criterion for adaptively estimating multiple minor eigencomponents of a
covariance matrix is proposed. It is proved that the proposed criterion has a unique global …
covariance matrix is proposed. It is proved that the proposed criterion has a unique global …
Neural network learning algorithms for tracking minor subspace in high-dimensional data stream
A novel random-gradient-based algorithm is developed for online tracking the minor
component (MC) associated with the smallest eigenvalue of the autocorrelation matrix of the …
component (MC) associated with the smallest eigenvalue of the autocorrelation matrix of the …
秩-1 子空间跟踪算法
陈辉， 王永良 - 电子与信息学报, 2002 - jeit.ac.cn
秩-1子空间跟踪算法 高级搜索 首页 期刊介绍 在线期刊 1.优先发表 2.当期目录 3.过刊浏览 4.下载
排行 5.浏览排行 6.引用排行 7.高级检索 出版道德声明 数据 1.基于全球AIS的多源航迹关联数据集 …
排行 5.浏览排行 6.引用排行 7.高级检索 出版道德声明 数据 1.基于全球AIS的多源航迹关联数据集 …
Asymptotic performance of eigenstructure spectral analysis methods
This paper considers some asymptotic statistical properties of covarianee eigenstructure
spectral analysis techniques. It is shown that when the signal model is of the appropriate …
spectral analysis techniques. It is shown that when the signal model is of the appropriate …
A comparative study of modern eigenstructure methods for bearing estimation-a new high performance approach
KC Sharman, TS Durrani - 1986 25th IEEE Conference on …, 1986 - ieeexplore.ieee.org
This paper discusses the problem of accurate estimation of the bearings or directions of
multiple narrowband point signal sources from data collected at a spatially distributed array …
multiple narrowband point signal sources from data collected at a spatially distributed array …