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Bivariate Markov processes play a central role in the theory and applications of estimation, control, queuing, biomedical engineering, and reliability...Savoir plus
As a major breakthrough in artificial intelligence, deep learning has achieved impressive success on solving grand challenges in many fields including...Savoir plus
Theory and Use of the EM Algorithm introduces the expectation-maximization (EM) algorithm and provides an intuitive and mathematically rigorous unders...Savoir plus
This monograph covers the topic of Wireless for Machine Learning (ML). Although the general intersection of ML and wireless communications is currentl...Savoir plus
Modern day networking and computing systems rely increasingly on knowing the location of the user. These include state-of-the art technologies such as...Savoir plus
Covariance matrices have found applications in many diverse areas. These include beamforming in array processing; portfolio analysis in finance; class...Savoir plus
In modern data analysis, massive measurements from a network require novel signal processing techniques, which are expected to be adapted to the netwo...Savoir plus
Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of signal and info...Savoir plus
Methods for image recovery and reconstruction aim to estimate a good-quality image from noisy, incomplete, or indirect measurements. Such methods are ...Savoir plus
The human visual system has evolved to have the ability to selectively focus on the most relevant parts of a visual scene. This mechanism, referred to...Savoir plus
Sensors are becoming increasingly omnipresent throughout society. These sensors generate a billion gigabytes of data every day. With the availability ...Savoir plus
Hilbert space theory is an invaluable mathematical tool in numerous signal processing and systems theory applications. Hilbert spaces satisfying certa...Savoir plus
Source Coding is the first part of the two-part monograph Fundamentals of Source and Video Coding by Wiegand and Schwarz. It is devoted to the fundame...Savoir plus
Binary decisions guide our everyday lives in situations both critical and trivial. The choices made by politicians and physicians may have consequenti...Savoir plus
Markov Random Fields in Image Segmentation introduces the fundamentals of Markovian modeling in image segmentation as well as providing a brief overvi...Savoir plus
An Introduction to Frames is an introduction to redundant signal representations called frames. These representations have recently emerged as yet ano...Savoir plus
Despite the different nature of financial engineering and electrical engineering, both areas are intimately connected on a mathematical level. The fou...Savoir plus
Deep learning has achieved remarkable success in many machine learning tasks such as image classification, speech recognition, and game playing. Howev...Savoir plus
This monograph is motivated by a number of recent developments that appear to define a possible new role for researchers with an engineering profile. ...Savoir plus
There is a wealth of literature and books available to engineers starting to understand what machine learning is and how it can be used in their every...Savoir plus
If information theory and estimation theory are thought of as two scientific languages, then their key vocabularies are information measures and estim...Savoir plus
Massive multiple-input multiple-output (Massive MIMO) is the latest technology that will improve the speed and throughput of wireless communication sy...Savoir plus
Electromagnetic imaging has been a powerful technique in various civil and military applications across medical imaging, geophysics, and space explora...Savoir plus
Microelectromechanical system (MEMS) inertial sensors have become ubiquitous in modern society. Built into mobile telephones, gaming consoles, virtual...Savoir plus