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The Latest News, Articles, and Events in Signal Processing
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.
The Signal Processing Society (SPS) has 13 Technical Committees and 2 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.
In Part 1 of this "Lecture Notes" article [1], we introduced a modern perspective on the standard tools for power system analysis-the Clarke and related transforms-through the lens of data analytics. We also indicated their limitations when dealing with unbalanced power system conditions.
The scientific world is becoming more open to the public and fellow researchers. Open access publishing is becoming accepted, even if some publishers are resisting. The next step is the open code and data paradigm, which was briefly discussed in the "From the Editor" column...
In today's era of the Internet of Things (IoT), the amalgamation of information and communication technologies with actuating devices has reached all corners of the modern world. In the context of critical infrastructures, such as the power grid, this cyberphysical transformation has permeated all system levels as evident in devices ranging from crucial operational components (e.g., generators) and advanced sensors...
It is an amazing sign of the times when the youth across many nations are uniting in their will to raise awareness about the perils of global warming and the need for immediate action.
The cellular industry has just reached another milestone with the development of 5G wireless communication technology. While research in 5G is a core part of the Signal Processing for Communications and Networking (SPCOM) technical committee, it may also be found in several other technical areas.
This volume develops the theory of multidimensional signal processing where input and output are either scalar or vector-valued signals. Vector-valued signals are specifically used to model color images. The approach is largely based on lattices. Non-rectangular sampling is very widespread; for example, virtually every camera and display device incorporates non-rectanglular sampling.
Virtual and augmented (VR/AR) systems have recently become exceedingly popular by enabling new immersive digital experiences. The application areas of VR/AR are not only limited to gaming and entertainment, but also education and training, environmental and weather sciences, disaster relief, and healthcare.
The Nominations and Appointments Subcommittee for each Technical Committee is currently seeking nominations for new Members, as well as the Vice Chair position for some Technical Committees. Nominations for both positions should be submitted directly to each Technical Committee’s Nominations and Appointments Subcommittee.
Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.
Situation-aware technologies enabled by multitarget tracking algorithms will create new services and applications in emerging fields such as autonomous navigation and maritime surveillance. The system models underlying multitarget tracking algorithms often involve unknown parameters that are potentially time-varying.
Standard interpolation techniques are implicitly based on the assumption that the signal lies on a single homogeneous domain. In contrast, many naturally occurring signals lie on an inhomogeneous domain, such as brain activity associated to different brain tissue. We propose an interpolation method that instead exploits prior information about domain inhomogeneity, characterized by different, potentially overlapping, subdomains.
We obtain a characterization of all wavelets leading to analytic wavelet transforms (WT). The characterization is obtained as a byproduct of the theoretical foundations of a new method for wavelet phase reconstruction from magnitude-only coefficients. The cornerstone of our analysis is an expression of the partial derivatives of the continuous WT, which results in phase-magnitude relationships similar to the short-time Fourier transform setting and valid for the generalized family of Cauchy wavelets.
The problem of locating signals transmitted in the proximity of an antenna array has been studied extensively in the signal processing literature. In this paper, we consider the standard array manifold models used in these works and show that they differ, sometimes significantly, from the model based on electromagnetic theory.
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.
Motivated by Shannon's channel coding theorem, error-correction coding has become an integral part of all modern communications systems and standards that have enabled the information revolution of the past decades. Recently, there has been a growing interest in mission-critical applications that have extremely stringent reliability and latency constraints, such as autonomous driving, industrial automation, and remote robotic surgeries.
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October 28-31, 2019
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