Articles liés à FREQUENCY ESTIMATION: USING SUBSPACE METHODS

FREQUENCY ESTIMATION: USING SUBSPACE METHODS - Couverture souple

Addad Shatnawi, Heba Awad

 
9783639296327: FREQUENCY ESTIMATION: USING SUBSPACE METHODS
Couverture souple
ISBN 10 : 363929632X ISBN 13 : 9783639296327
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

Complex frequency estimation problem plays a significant role in many engineering applications. The estimation process was achieved by the Eigenvalue Decomposition of the spatial correlation matrix of observations. Frequency estimation has fundamental significant and wide relevance for many reasons. First, any arbitrary signal may be modeled as a sum of frequencies. Hence, any signal estimation problem may be expressed in terms of frequency estimation problems. Second, many parameter estimation applications may be mathematically expressed as a frequency estimation problem. In this thesis an improved frequency estimation technique is presented based on the unitary transformation, which was basically applied in the direction of arrival problem. The key idea of the proposed technique is to convert the complex valued autocorrelation or the data matrix in Hankel like shape into a real valued data matrix with the same dimension. The resultant real valued matrix will be used to extract the noise and/or the signal subspace instead of the original complex one. It is well known that real manipulations are easier and faster than the complex ones.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Complex frequency estimation problem plays a significant role in many engineering applications. The estimation process was achieved by the Eigenvalue Decomposition of the spatial correlation matrix of observations. Frequency estimation has fundamental significant and wide relevance for many reasons. First, any arbitrary signal may be modeled as a sum of frequencies. Hence, any signal estimation problem may be expressed in terms of frequency estimation problems. Second, many parameter estimation applications may be mathematically expressed as a frequency estimation problem. In this thesis an improved frequency estimation technique is presented based on the unitary transformation, which was basically applied in the direction of arrival problem. The key idea of the proposed technique is to convert the complex valued autocorrelation or the data matrix in Hankel like shape into a real valued data matrix with the same dimension. The resultant real valued matrix will be used to extract the noise and/or the signal subspace instead of the original complex one. It is well known that real manipulations are easier and faster than the complex ones.

Biographie de l'auteur

Heba Awad Shatnawi has done her Master in Electrical Engineering / control at Wichita State University (WSU), Kansas. She did her B.Sc in Applied Physics at Jordan University of Science and Technology.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
363929632X
ISBN 13 
9783639296327
Reliure
Broché
Nombre de pages
56
Coordonnées du fabricant
non disponible
Personne responsable
non disponible