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Rethinking Biased Estimation discusses methods to improve the accuracy of unbiased estimators used in many signal processing problems. At the heart of...Savoir plus
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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
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Microelectromechanical system (MEMS) inertial sensors have become ubiquitous in modern society. Built into mobile telephones, gaming consoles, virtual...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
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
Electromagnetic imaging has been a powerful technique in various civil and military applications across medical imaging, geophysics, and space explora...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
Binary decisions guide our everyday lives in situations both critical and trivial. The choices made by politicians and physicians may have consequenti...Savoir plus
Hilbert space theory is an invaluable mathematical tool in numerous signal processing and systems theory applications. Hilbert spaces satisfying certa...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
Many natural signals possess only a few degrees of freedom. For instance, the occupied radio spectrum may be intermittently concentrated to only a few...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
Covariance matrices have found applications in many diverse areas. These include beamforming in array processing; portfolio analysis in finance; class...Savoir plus
Sensors are becoming increasingly omnipresent throughout society. These sensors generate a billion gigabytes of data every day. With the availability ...Savoir plus
Acoustic source localization is an essential component in many modern day audio applications. For example, smart speakers require localization capabil...Savoir plus
Biomedical imaging is a vast and diverse field. There are a plethora of imaging devices using light, X-rays, sound waves, magnetic fields, electrons, ...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
As a major breakthrough in artificial intelligence, deep learning has achieved impressive success on solving grand challenges in many fields including...Savoir plus