Detection, estimation, and modulation theory: Optimum array processing

This graduate-level text provides a language for understanding, unifying, and implementing a wide variety of algorithms for digital signal processing - in particular, to provide rules and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines. It thus bridges the gap between digital signal processing algorithms and their implementation on a variety of computing platforms. The mathematical concept of tensor product is a recurring theme throughout the book, since these formulations highlight the data flow, which is especially important on supercomputers. Because of their importance in many applications, much of the discussion centres on algorithms related to the finite Fourier transform and to multiplicative FFT algorithms Arrays and spatial filters -- Synthesis of linear arrays and apertures -- Planar arrays and apertures -- Characterization of space-time processes -- Optimum waveform estimation -- Adaptive beamformers -- Parameter Estimation I : maximum likelihood -- Parameter estimation II -- Detection and other topics