Motivated by the many applications associated with estimation of sparse multivariate models, the estimation of sparse directional connectivity between the imperfectly measured nodes of a network is studied. Node dynamics and interactions are assumed to follow a multivariate autoregressive model driven by noise, and the observations are a noisy linear combination of the underlying node activities.
We consider the problem of detecting the presence of a complex-valued, possibly improper, but unknown signal, common among two or more sensors (channels) in the presence of spatially independent, unknown, possibly improper and colored, noise. Past work on this problem is limited to signals observed in proper noise.
In the last decade, a large number of techniques have been proposed to ensure integrity and authenticity of data in security-oriented applications, e.g. multime-dia forensics, biometrics, watermarking and information hiding, network intrusion detection, reputation systems, etc.... The development of these methods has re-ceived a new boost in the last few years with the advent of Deep Learning (DL) techniques and Convolutional Neural Networks (CNNs).
The International Institute for Smart Transportation, Infrastructure, Finance and Computing (IISTIFC) affiliated with the School of Smart Cities (SSC) at South China University of Technology (SCUT), Guangzhou, China invites applicants to fill three-year term non-tenure track Research Assistant Professor positions on Guangzhou International Campus for conducting interdisciplinary engineering education and cutting-edge research.
New and improved monthly statistics reports are now available containing enriched visual analytics dashboards that can be used for monthly trending. These comprehensive dashboards improve efficiency by allowing OUs to quickly access data that is relevant to them by OU, Region, Section, Grade, Division, etc.
New enhancements to the display of Section and Chapter data are now available in the Geographic Map within OU Analytics. Boundaries have been expanded to incorporate additional Sections/Subsections not previously included.
Ph.D. positions with full financial support are now available in Dr. Ying Liu’s group in the Department of Computer Science and Engineering at Santa Clara University (SCU). Dr. Liu is looking for self-motivated PhD students to work on image/video processing, machine learning and deep learning. Visiting scholars and students are also welcome.
The Signal Processing Society is pleased to announce the 5-Minute Video Clip Contest (5-MICC) at ICASSP 2020 in Barcelona (May 4-8). The topic chosen this year is Beamforming and the submitted video can cover any aspects of beamforming related areas.
The Signal Processing Society is pleased to announce the 5-Minute Video Clip Contest (5-MICC) at ICASSP 2020 in Barcelona (May 4-8). The topic chosen this year is Beamforming and the submitted video can cover any aspects of beamforming related areas.