Søkt på: Bøker av Edward R. Dougherty
totalt 24 treff
Introduction to Genomic Signal Processing with Control
Studying large sets of genes and their collective function requires tools that can easily handle huge amounts of information. Recent research indicates that engineering approaches …
Digital Image Processing Methods
This unique reference presents in-depth coverage of the latest methods and applications of digital image processing describing various computer architectures ideal for satisfying …
Mathematical Nonlinear Image Processing
Mathematical Nonlinear Image Processing deals with a fast growing research area. The development of the subject springs from two factors: (1) the great expansion of nonlinear …
An Introduction to Nonlinear Image Processing
From a strict semantic point of view, nonlinear image processing encompasses all image processing that is not based on linear operators; however, from a practical, evolutionary …
Introduction to Real–Time Imaging
"An invaluable source for both imaging and software engineers, this practical guide thoroughly covers information in real-time systems, imaging, optimization, algorithms and …
Genomic Signal Processing
Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into …
Introduction to Genomic Signal Processing with Control
Studying large sets of genes and their collective function requires tools that can easily handle huge amounts of information. Recent research indicates that engineering approaches …
Optimal Bayesian Classification
The most basic problem of engineering is the design of optimal operators. Design takes different forms depending on the random process constituting the scientific model and the …
Electronic Imaging Technology
This text provides an overview of electronic imaging systems, technology, and practical applications. Written by industry experts, its chapters explore a variety of systems and …
Probabilistic Boolean Networks
This is the first comprehensive treatment of probabilistic Boolean networks (PBNs), an important model class for studying genetic regulatory networks. This book covers basic model …
Error Estimation for Pattern Recognition
This book is the first of its kind to discuss error estimation with a model-based approach. From the basics of classifiers and error estimators to distributional and Bayesian …
Random Processes for Image and Signal Processing
Probability theory; random processes; canonical representation; optimal filtering; random models.