Local Approximation Techniques In Signal And Image Processing

Deals with a class of novel and efficient adaptive signal processing techniques developed to restore signals from noisy and degraded observations. This book is devoted to an original approach to signal reconstruction based on combining two independent ideas: local polynomial approximation and the intersection of confidence interval rule.