Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=68 ...

Covariance Matrix,Conventional Estimation,Cramer-Rao Lower Bound,Diagonal Matrix,Direction Of Arrival Estimation,Inversion Algorithm,Iterative Procedure,Maximum Likelihood Algorithm,Maximum Likelihood ...

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically ...

Microelectronics Department, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Electronic Instrumentation Laboratory, Delft University of Technology, Delft, The Netherlands ...

Thoroughly revised and expanded, this second edition of the popular reference addresses the many important advances that have taken place in the field since the publication of the first edition and ...

Tibor Grasser (SM'05) received the Diplomingenieur degree in communications engineering, the Ph.D. degree in technical sciences, and the venia docendi in microelectronics from the Technische ...

Book Abstract: This updated printing of the leading text and reference in digital systems testing and testable design provides comprehensive, state-of-the-art coverage of the field. Included are ...

Yan-Fei Liu (M’94–SM’97–F’13) received the bachelor's and master's degrees in electrical engineering from the Department of Electrical Engineering, Zhejiang University, Hangzhou, China, in 1984 and ...

Abstract: In this monograph, the authors present an introduction to the framework of variational autoencoders (VAEs) that provides a principled method for jointly learning deep latent-variable models ...

The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary ...