This book explores topics in multivariate statistical analysis, both in the real and complex domains. It uses simplified and unified notations to render complex subject matter both accessible and enjoyable, drawing from both clear exposition and numerous illustrative examples. The book features an in-depth treatment of theory with a fair balance of applied coverage, and it uses a classroom lecture style so that the learning process feels organic. It book also features original results, with the goal of driving research conversations forward. This will be particularly useful for researchers working in machine learning, biomedical signal processing, and other fields that increasingly rely on complex random variables to model complex-valued data. It can also be used in advanced courses on multivariate analysis. Additional exercises are provided at the end of each section.weiterlesen