This book is concerned with the processing of signals that have been sam pled and digitized. The fundamental theory behind Digital Signal Process ing has been i

Presents the Bayesian approach to statistical signal processing for a variety of useful model sets This book aims to give readers a unified Bayesian treatment s

Treating VB approximation in signal processing, this monograph is for academic and industrial research groups in signal processing, data analysis, machine learn

Signal processing, nonlinear data analysis, nonlinear time series, nonstationary processes.

This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. It is an extensively revised second edition of the auth