Ergebnisse für: multidimensional spectral analysis
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This book provides a selection of reports and survey articles on the latest research in the area of single and multivariable operator theory and related fields. The latter include singular integral equations, ordinary and partial differential equations, complex analysis, numerical linear algebra, an...
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are deriv...
This book provides a selection of reports and survey articles on the latest research in the area of single and multivariable operator theory and related fields. The latter include singular integral equations, ordinary and partial differential equations, complex analysis, numerical linear algebra, an...
This book provides a selection of reports and survey articles on the latest research in the area of single and multivariable operator theory and related fields. The latter include singular integral equations, ordinary and partial differential equations, complex analysis, numerical linear algebra, an...
Classic multidimensional harmonic retrieval is the estimation problem in a variety of practical applications, including sensor array processing, radar, mobile communications, multiple-input multiple-output (MIMO) channel estimation and nuclear magnetic resonance spectroscopy. Numerous parametric sub...
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are deriv...
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are deriv...
Volume is indexed by Thomson Reuters CPCI-S (WoS).
Nowadays, one of the most rapidly growing sectors of industry is that of the infrastructure and vehicles of transportation systems. This discipline needs new, innovative and economically ...