This book systematically presents adaptive multichannel signal detection in three types of non-ideal environments, including sample-starved scenarios, signal mismatch scenarios, and noise plus subspace interference environments. The authors provide definitions of key concepts, detailed derivations of adaptive multichannel signal detectors, and specific examples for each non-ideal environment. In addition, the possible future trend of adaptive detection methods is discussed, as well as two further research points – namely, the adaptive detection algorithms based on information geometry, and the hybrid approaches that combine adaptive detection algorithms with machine learning algorithms. The book will be of interest to researchers, advanced undergraduates, and graduate students in sonar, radar signal processing, and communications engineering.

This book offers a systematic presentation of persymmetric adaptive detection, including detector derivations and the definition of key concepts, followed by detailed discussion relating to theoretical underpinnings, design methodology, design considerations, and techniques enabling its practical implementation. The received data for modern radar systems are usually multichannel, namely, vector-valued, or even matrix-valued. Multichannel signal detection in Gaussian backgrounds is a fundamental problem for radar applications. With an overarching focus on persymmetric adaptive detectors, this book presents the mathematical models and design principles necessary for analyzing the behavior of each kind of persymmetric adaptive detector. Building upon that, it also introduces new design approaches and techniques that will guide engineering students as well as radar engineers toward efficient detector solutions, especially in challenging sample-starved environments where training data are limited. This book will be of interest to students, scholars, and engineers in the field of signal processing. It will be especially useful for those who have a solid background in statistical signal processing, multivariate statistical analysis, matrix theory, and mathematical analysis.

"This book systematically presents adaptive multichannel signal detection in three types of non-ideal environments, including sample-starved scenario, signal mismatch scenario, and noise plus subspace interference environment. The authors provide definitions of key concepts, detailed derivations of adaptive multichannel signal detectors, and specific examples for each non-ideal environment. In addition, the possible future trend of adaptive detection methods is discussed, as well as two further research tracks, namely the adaptive detection algorithms based on information geometry and the hybrid approaches that combine adaptive detection algorithms with machine learning algorithms. The book will be of interest to researchers, advanced undergraduate, and graduate students in sonar, radar signal processing, and communications engineering"--

This text discusses various applications of space-time adaptive processing, including applications in OTH-radar, ground target tracking, STAP in real world clutter environments, jammer cancellation, superresolution, active sonar, seismics and communications. It is divided into two parts: the first dealing with the classical adaptive suppression of airborne and spacebased radar clutter, and the second comprising of miscellaneous applications in other fields such as communications, underwater sound and seismics.

This volume brings together the peer-reviewed contributions of the participants at the COST 2102 International Conference on “Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions” held in Prague, Czech Republic, October 15–18, 2008. The conference was sponsored by COST (European Cooperation in the Field of Scientific and Technical Research, www. cost. esf. org/domains_actions/ict) in the - main of Information and Communication Technologies (ICT) for disseminating the research advances developed within COST Action 2102: “Cross-Modal Analysis of Verbal and Nonverbal Communication” http://cost2102. cs. stir. ac. uk. COST 2102 research networking has contributed to modifying the conventional theoretical approach to the cross-modal analysis of verbal and nonverbal communi- tion changing the concept of face to face communication with that of body to body communication as well as developing the idea of embodied information. Information is no longer the result of a difference in perception and is no longer measured in terms of quantity of stimuli, since the research developed in COST 2102 has proved that human information processing is a nonlinear process that cannot be seen as the sum of the numerous pieces of information available. Considering simply the pieces of inf- mation available, results in a model of the receiver as a mere decoder, and produces a huge simplification of the communication process.