Trends in array signal processing

Summary form only given, as follows. Arrays and associated signal processing algorithms have been in use for many years. In recent years, a new wave of algorithms has swept upon the scene promising superior performance at the expense of computational load. Rather than a litany of unrelated algorithms, these new approaches are based on a small number of key ideas drawn from rather diverse mathematical concepts: linear algebra (especially eigenanalysis), optimization theory, and robust statistics. These modern techniques will be surveyed in a unified way so that their relationships can be understood. A critical aspect of evaluating these algorithms will be the tradeoff between performance and computation.<>