Independent Component Analysis (ICA) is one of the most exciting topics in the fields of neural computation, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the mathematical background needed to understand and utilize it. It offers a general overview of the basics of ICA, important solutions and algorithms, and in-depth coverage of new applications in vision research, brain imaging, telecommunications, and more.