A variety of problems m machine learning and digital communication deal with complex but structured natural or artificial systems. Natural patterns mat we wish to automatically classify' are a consequence of a hierarchical causal physical process. Learning about the world m which we live requires mat we extract useful sensor)'...

A Bayesian approach can contribute to an understanding of the brain on multiple levels, by giving normative predictions about how an ideal sensory system should combine prior knowledge and observation, by providing mechanistic interpretation of the dynamic functioning of the brain circuit, and by suggesting optimal ways of deciphering...

The unique feature of coplanar waveguides, as opposed to more conventional waveguides, is their uniplanar construction, in which all of the conductors are aligned on the same side of the substrate. This feature simplifies...

Despite means of fault prevention such as extensive testing or formal verification, errors inevitably occur during system operation. To avoid subsequent system failures, critical distributed systems, therefore, require engineering of means for fault tolerance. Achieving fault tolerance requires some redundancy, which, unfortunately,...

The third edition of Engineering Noise Control has been thoroughly revised, updated and extended. Each chapter contains new material, much of which is not available elsewhere. The result is a comprehensive discussion of the theoretical principles and concepts of acoustics and noise control, a detailed discussion of the hearing...

A constraint is a restriction on a space of possibilities; it is a piece of knowledge that narrows the scope of this space. Because constraints arise naturally in most areas of human endeavor, they are the most general means for formulating regularities that govern our computational, physical, biological, and social worlds. Some...

"Professor Andreas F. Molisch, renowned researcher and educator, has put together the comprehensive book, Wireless Communications. The second edition, which includes a wealth of new material on important topics, ensures the role of the text as the key resource for every student, researcher, and practitioner in the...

Event-based distributed systems are playing an ever increasing role in areas such as enterprise management, information dissemination, finance, environmental monitoring and geo-spatial systems. Event-based processing originated with the introduction of Event-Condition-Action (ECA) rules to database systems in the 1980s. Since then,...

This concise book covers the classical tools of PDE theory used in today's science and engineering: characteristics, the wave propagation, the Fourier method, distributions, Sobolev spaces, fundamental solutions, and Green's functions. The approach is problem-oriented, giving the reader an opportunity to master solution techniques. The...

At the beginning of our research we thought that a solution for the problem of...

Neural Networks started as an academic discipline over 50 years ago with the publication by McCulloch and Pitts of their famous result that any logical problem can be solved by a suitable network composed of so-called binary decision nodes. These are processors which make the simplest possible decision, that is, whether or not to respond to a...