Maarten Jansen Libri

Painted shortly before the Spanish conquest of Mexico in 1521, the Codex Bodley has been long recognized as one of the most important Mixtec manuscripts and a premier example of native Mixtec pictorial historiography in all its complexity. The complete manuscript of the Codex Bodley is offered here for the very first time in a single illustrated volume.Codex Bodley explores the enormous wealth of information contained in the manuscript, which documents precolonial Mixtec genealogical relationships and historical events spanning from 900 AD to 1521. Maarten Jansen and Gabina Aurora Pérez Jiménez provide insightful and expert commentary on the manuscript, explaining its history as they consider key characteristics of Mixtec pictography. They then provide an engaging and masterful interpretation of the manuscript's narrative, with a detailed explanatory reading of its pictograms and their significance. Accompanied by vivid and colorful illustrations, Codex Bodley is an invaluable text for scholars of precolonial Mexican history, art, and culture.

Wavelet methods are increasingly used in signal and image processing, with this text focusing on statistical applications, particularly wavelet-based smoothing. It presents examples of non-linear and non-parametric curve fitting, aiming to bridge the gap between statisticians and application-oriented fields, including signals and images. While it analyzes existing methods, the book does not seek to provide a comprehensive overview, as that would introduce bias towards the author's algorithms. Instead, it introduces new material and insights related to wavelet-based noise reduction while covering a range of methodologies, making it a useful introduction to wavelet smoothing. Key properties such as sparsity, locality, and multiresolution are emphasized throughout, as most wavelet methods leverage at least one of these aspects. The research presented is part of the Belgian Programme on Interuniversity Poles of Attraction, initiated by the Belgian State's Prime Minister's Office for Science, Technology, and Culture. The author assumes scientific responsibility, with research funded by a grant from the Flemish Institute for the Promotion of Scientific and Technological Research in the Industry (IWT) from 1995 to 1999.

Focusing on the lifting scheme, this book presents an advanced perspective on wavelets, moving past the limitations of traditional equispaced, dyadic wavelets. It equips researchers with the tools to create customized wavelet and multiresolution analyses tailored to a variety of data types, including images and scattered datasets. This modern approach enhances flexibility and applicability in wavelet theory and its practical implementations.