Presents state-of-the-art sparse and multiscale image and signal processing with applications in astronomy, biology, MRI, media, and forensics.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Jean-Luc Starck is Senior Scientist at the Institute of Research into the Fundamental Laws of the Universe, Commissariat à l'énergie atomique, Saclay, France. He was awarded the 2022 Tycho Brahe Medal by the European Astronomical Society. His research interests include cosmology, weak lensing data, and statistical methods such as wavelets and other sparse representations of data. He has published over 200 papers in astrophysics, cosmology, signal processing, and applied mathematics, and is also author of three books.
Inhaltsangabe
1. Introduction to the world of sparsity 2. The wavelet transform 3. Redundant wavelet transform 4. Nonlinear multiscale transforms 5. Multiscale geometric transforms 6. Sparsity and noise removal 7. Linear inverse problems 8. Morphological diversity 9. Sparse blind source separation 10. Dictionary learning 11. Three-dimensional sparse representations 12. Multiscale geometric analysis on the sphere 13. Compressed sensing 14. This book's take-home message.
