Mathematical Methods in Time Series Analysis and Digital Image Processing
Venduto da Majestic Books, Hounslow, Regno Unito
Venditore AbeBooks dal 19 gennaio 2007
Nuovi - Brossura
Condizione: Nuovo
Quantità: 4 disponibili
Aggiungere al carrelloVenduto da Majestic Books, Hounslow, Regno Unito
Venditore AbeBooks dal 19 gennaio 2007
Condizione: Nuovo
Quantità: 4 disponibili
Aggiungere al carrelloPrint on Demand pp. xiv + 294 109 Illus. (13 Col.).
Codice articolo 5865097
The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences.
In particular, mathematically justified algorithms and methods, the mathematical analysis of these algorithms, and methods as well as the investigation of connections between methods from time series analysis and image processing are reviewed. An interdisciplinary comparison of these methods, drawing upon common sets of test problems from medicine and geophysical/environmental sciences, is also addressed.
This volume coherently summarizes work carried out in the field of theoretical signal and image processing. It focuses on non-linear and non-parametric models for time series as well as on adaptive methods in image processing.
The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences.
In particular, mathematically justified algorithms and methods, the mathematical analysis of these algorithms, and methods as well as the investigation of connections between methods from time series analysis and image processing are reviewed. An interdisciplinary comparison of these methods, drawing upon common sets of test problems from medicine and geophysical/enviromental sciences, is also addressed.
This volume coherently summarizes work carried out in the field of theoretical signal and image processing. It focuses on non-linear and non-parametric models for time series as well as on adaptive methods in image processing.
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