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The Latest News, Articles, and Events in Signal Processing
In depth map super-resolution (SR), a high-resolution color image plays an important role as guidance for preventing blurry depth boundaries. However, excessive/deficient use of the color image features often causes performance degradation such as texture-copying/edge-smoothing in flat/boundary areas. To alleviate these problems, this letter presents a simple yet effective method for enhancing the performance of the SR without requiring significant modifications to the original SR network. To this end, we present a self-selective concatenation (SSC), which is a substitute for the conventional feature concatenation. In the upsampling layers of the SR network, the SSC extracts spatial and channel attention from both color and depth features such that color features can be selectively used for depth SR.
We consider the problem of detecting an unknown signal that lies in a union of subspaces (UoS) and that is observed in additive white Gaussian noise with unknown variance. The main contribution of this letter is the derivation of a detector that can accommodate a union made of nested subspaces. This detector includes the generalized likelihood ratio test (GLRT) as a special case when the subspace dimensions are all identical. It relies on the framework of multifamily likelihood ratio tests (MFLRT) and is shown by numerical examples to achieve better performance than existing detectors.
Manuscript Due: October 15, 2021
Publication Date: June 2022
CFP Document
The main theme of SLT 2021 will be "Spoken language technologies: deep learning and beyond". Besides deep learning, we also encourage explorative efforts on new paradigms and forward-looking approaches for the advancement of spoken language technologies.
This IEEE Signal Processing Society (SPS) Chapter Certification program is now accepting applications for review in 2021. This is open to all Chapters who are not currently certified, or whose certification will end on 31 December 2021.
JOB ID: 543945BRDate posted: Nov. 10, 2020City: OrlandoState: Florida
Submission Deadline: January 25, 2021
Call for Proposals Document
Did you know the Society offers funding under the Member Driven Initiatives program for events that encourage involvement by SPS membership, including local chapters, universities, industry members as well as individual members?
With the explosive growth of data, it is a heavy burden for users to store the sheer amount of data locally. Therefore, more and more organizations and individuals would like to store their data in the cloud. However, the data stored in the cloud might be corrupted or lost due to the inevitable software bugs, hardware faults and human errors in the cloud.
Monte Carlo (MC) methods are a set of fascinating computational techniques that have attracted ever-increasing attention in the last decades. They are based on the simulation of random samples that are used for diverse purposes, such as numerical integration or optimization.
This issue brings to you our interview with Dr. Behrooz Makki [M’19, SM’19]. Behrooz received his Ph.D. degree in Communication Engineering from Chalmers University of Technology, Gothenburg, Sweden. In 2013-2017, he was a Postdoc researcher at Chalmers University.
In this issue, we interviewed Dr. Anubha Gupta. Anubha received her PhD. from the Indian Institute of Technology (IIT), Delhi, India in 2006 in Electrical Engineering. She did her second Master's as a full-time student from the University of Maryland, College Park, the USA from 2008-2010 in Education with a concentration: Higher Education Leadership and Policy Studies.
A reminder that chapter events and officer reporting need to be updated in vTools <http://vtools.ieee.org> throughout the year. This will ensure that current data is on file and that your chapter activity is accurately recorded. All units are encouraged to try to hold at least virtual meetings, if possible, to show that the unit is active.
The IEEE Signal Processing Society (SPS) announces the 2021 Class of Distinguished Lecturers and Distinguished Industry Speakers for the term of 1 January 2021 to 31 December 2022, which are noted below. The IEEE SPS Distinguished Lecturer (DL) Program provides a means for Chapters to have access to well-known educators and authors in the fields of signal processing to lecture at Chapter meetings.
The OU Analytics dashboards provide an intuitive interface to present data using tables and charts with the capability to customize using filtering options by OU, Region, Section, Grade, Gender, etc. Counts provided can further link to the respective member contact details.
The IEEE Signal Processing Society (SPS) would like to express our concern and support for the members of our global community and all affected by the current COVID-19 pandemic.
Ramalingam Chellappa Receives IEEE Jack S. Kilby Signal Processing Medal . IEEE Life Fellow Ramalingam Chellappa has received this year’s IEEE Jack S. Kilby Signal Processing Medal "for contributions to image and video processing, especially applications to face recognition."
The launch of the 2021 Membership Renewal year has begun and 1st notice renewal bills were mailed to members on October 1st. Members are encouraged to renew early online at www.ieee.org/renewal. The membership renewal site provides opportunities for members to browse and explore an online interactive catalog of 2021 offerings and customize their renewal.
Are you looking to energize signal processing students, early stage researchers, and industry practitioners? Consider hosting a virtual Seasonal School for young engineers!
The potentials of using millimeter-wave (mmWave) frequency for future wireless cellular communication systems have motivated the study of large-scale antenna arrays for achieving highly directional beamforming. However, the conventional fully digital beamforming methods, which require one radio frequency (RF) chain per antenna element, are not viable for large-scale antenna arrays due to the high cost and high power consumption of RF chain components in high frequencies.
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