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Since publication of the initial papers in 2006, compressed sensing has captured the imagination of the international signal processing community, and the mathematical foundations are nowadays quite well understood. Parallel to the progress in mathematics, the potential applications of compressed sensing have been explored by many international groups of, in particular, engineers and applied mathematicians, achieving very promising advances in various areas such as communication theory, imaging sciences, optics, radar technology, sensor networks, or tomography. Since many applications have reached a mature state, the research center MATHEON in Berlin focusing on "Mathematics for Key Technolo...
A mathematical introduction to deep learning, written by a group of leading experts in the field.
Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics, statistics and computer science. This book provides the first detailed introduction to the subject, highlighting theoretical advances and a range of applications, as well as outlining numerous remaining research challenges. After a thorough review of the basic theory, many cutting-edge techniques are presented, including advanced signal modeling, sub-Nyquist sampling of analog signals, non-asymptotic analysis of random matrices, adaptive sensing, greedy algorithms and use of graphical models. All chapters are written by leading researchers in the field, and consistent style and notation are utilized throughout. Key background information and clear definitions make this an ideal resource for researchers, graduate students and practitioners wanting to join this exciting research area. It can also serve as a supplementary textbook for courses on computer vision, coding theory, signal processing, image processing and algorithms for efficient data processing.
The bestselling author of The Handmaid's Tale and The Testaments reveals the life of one of the most notorious women of the nineteenth century in this "shadowy, fascinating novel" (Time). • A Netflix original miniseries. It's 1843, and Grace Marks has been convicted for her involvement in the vicious murders of her employer and his housekeeper and mistress. Some believe Grace is innocent; others think her evil or insane. Now serving a life sentence, Grace claims to have no memory of the murders. An up-and-coming expert in the burgeoning field of mental illness is engaged by a group of reformers and spiritualists who seek a pardon for Grace. He listens to her story while bringing her closer and closer to the day she cannot remember. What will he find in attempting to unlock her memories? Captivating and disturbing, Alias Grace showcases bestselling, Booker Prize-winning author Margaret Atwood at the peak of her powers.