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TIME-FREQUENCY ANALYSIS USING NEURAL NETWORKS: De-blurred Time-Frequency Distributions Using Neural Networks - Couverture souple

Shafi, Imran

 
9783639276152: TIME-FREQUENCY ANALYSIS USING NEURAL NETWORKS: De-blurred Time-Frequency Distributions Using Neural Networks
Couverture souple
ISBN 10 : 3639276159 ISBN 13 : 9783639276152
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

The work in this monograph is divided in three parts. In the first part, it explores and discusses the diversity of concepts and motivations for obtaining good resolution and highly concentrated time- frequency distributions (TFDs) for the research community. The description of the methods used for TFDs' objective assessment is provided later in this part. In the second part, a novel multi-processes neural network based framework to obtain highly concentrated TFDs is proposed. The propose method utilizes a localised Bayesian regularised neural network model (BRNNM) to obtain the energy concentration along the instantaneous frequencies (IFs) of individual components in the multicomponent signals without assuming any prior knowledge. The third part presents the discussion on the experimental results obtained by the proposed technique. Moreover the framework is extended to include the various objective methods of assessment to evaluate the performance of de-blurred TFDs obtained through the proposed technique.

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

Présentation de l'éditeur

The work in this monograph is divided in three parts. In the first part, it explores and discusses the diversity of concepts and motivations for obtaining good resolution and highly concentrated time- frequency distributions (TFDs) for the research community. The description of the methods used for TFDs' objective assessment is provided later in this part. In the second part, a novel multi-processes neural network based framework to obtain highly concentrated TFDs is proposed. The propose method utilizes a localised Bayesian regularised neural network model (BRNNM) to obtain the energy concentration along the instantaneous frequencies (IFs) of individual components in the multicomponent signals without assuming any prior knowledge. The third part presents the discussion on the experimental results obtained by the proposed technique. Moreover the framework is extended to include the various objective methods of assessment to evaluate the performance of de-blurred TFDs obtained through the proposed technique.

Biographie de l'auteur

Imran Shafi received the B.E. degree from the National University of Science and Technology,Pakistan in 1999 in Aeronautical Engineering, and the M.S. and Ph.D. degrees from Centre for Advanced Studies in Engineering, University of Engineering and Technology, Taxila, Pakistan, in 2003 and 2009, respectively, in Computer Engineering.

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 
3639276159
ISBN 13 
9783639276152
Reliure
Broché
Nombre de pages
152
Coordonnées du fabricant
non disponible
Personne responsable
non disponible