Robust statistics based subspace tracking in impulsive noise environment: algorithms and applications
- Wen, Yu
- 文宇
DOIAbstract
published_or_final_versionElectrical and Electronic EngineeringDoctoralDoctor of Philosoph
published_or_final_versionElectrical and Electronic EngineeringDoctoralDoctor of Philosoph
The popular least-mean-squares (LMS) algorithm for adaptive filtering is nonrobust against impulsive...
In this paper, we present a new algorithm for tracking the signal subspace recursively. It is based ...
In this paper an instrumental variable (IV) based subspace tracking algorithm is proposed. The basic...
Subspace tracking is an efficient method to reduce the complexity of signal subspace estimation. Rec...
Subspace tracking is an efficient method to reduce the complexity in estimating the signal subspace ...
The conventional projection approximation subspace tracking (PAST) algorithm is based on the recursi...
International audiencePrincipal component analysis (PCA) and subspace estimation (SE) are popular da...
The detection of a constant signal in additive noise is considered for independent and correlated im...
Subspace-based robust blind channel identification algorithm[1] using sign covariance matrix has rec...
International audienceWe consider the problem of robust subspace tracking (RST) in burst noise which...
DoctorIn this thesis, improving the performance of robust adaptive filtering algorithms in impulsive...
DoctorThis thesis proposes the various methods to improve the robustness against impulsive measureme...
Abstract—A family of algorithms, named-MUSIC, for direc-tion-of-arrival (DOA) estimation in impulsiv...
Fast estimation and tracking of the principal subspace of a sequence of random vectors is a classic ...
Abstract—Direction-of-arrival (DOA) estimation of coherent sources is a significant problem in impul...
The popular least-mean-squares (LMS) algorithm for adaptive filtering is nonrobust against impulsive...
In this paper, we present a new algorithm for tracking the signal subspace recursively. It is based ...
In this paper an instrumental variable (IV) based subspace tracking algorithm is proposed. The basic...
Subspace tracking is an efficient method to reduce the complexity of signal subspace estimation. Rec...
Subspace tracking is an efficient method to reduce the complexity in estimating the signal subspace ...
The conventional projection approximation subspace tracking (PAST) algorithm is based on the recursi...
International audiencePrincipal component analysis (PCA) and subspace estimation (SE) are popular da...
The detection of a constant signal in additive noise is considered for independent and correlated im...
Subspace-based robust blind channel identification algorithm[1] using sign covariance matrix has rec...
International audienceWe consider the problem of robust subspace tracking (RST) in burst noise which...
DoctorIn this thesis, improving the performance of robust adaptive filtering algorithms in impulsive...
DoctorThis thesis proposes the various methods to improve the robustness against impulsive measureme...
Abstract—A family of algorithms, named-MUSIC, for direc-tion-of-arrival (DOA) estimation in impulsiv...
Fast estimation and tracking of the principal subspace of a sequence of random vectors is a classic ...
Abstract—Direction-of-arrival (DOA) estimation of coherent sources is a significant problem in impul...
The popular least-mean-squares (LMS) algorithm for adaptive filtering is nonrobust against impulsive...
In this paper, we present a new algorithm for tracking the signal subspace recursively. It is based ...
In this paper an instrumental variable (IV) based subspace tracking algorithm is proposed. The basic...
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