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The Latest News, Articles, and Events in Signal Processing
The IEEE Signal Processing Society Chapter of the Year Award will be presented for the 11th time in 2022. The award will be presented annually to a Chapter that has provided their membership with the highest quality of programs, activities and services. The award will be presented annually in conjunction with the International Conference on Acoustics, Speech and Signal Processing (ICASSP) to the Chapter’s representative.
The IEEE Signal Processing Society Chapter of the Year Award will be presented for the 12th time in 2023. The award will be presented annually to a Chapter that has provided their membership with the highest quality of programs, activities and services.
Dr. Amy R. Reibman is a Professor of Electrical and Computer Engineering at Purdue University. Dr. Reibman received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from Duke University. She joined Purdue after 23 years of industrial research at AT&T Labs -- Research, where she was a Distinguished Member of Technical Staff and a Lead Inventive Scientist.
Military operations and training present a broad variety of demanding physical tasks which may impact the Warfighter physical performance and health. As it is for anyone who exercises intensely, the possibility of injury is always lurking around the corner.
April 13-16, 2021
NOTE: Location changed to--Virtual Conference
Given the impossibility of travel during the COVID-19 crisis, Computational Imaging TC is launching an SPS Webinar Series SPACE (Signal Processing And Computational imagE formation) as a regular bi-weekly online seminar series to reach out to the global computational imaging and signal processing community.
The SAMPL Lab at the Weizmann Institute of Science offers a postdoctoral position within the project C'MON-QSENS! (Continuously Monitored Quantum Sensors: Smart Tools and Applications) funded by QuantERA EU program in Quantum Technologies.
The SAMPL Lab at the Weizmann Institute of Science offers a postdoctoral position within the project C'MON-QSENS! (Continuously Monitored Quantum Sensors: Smart Tools and Applications) funded by QuantERA EU program in Quantum Technologies.
PhD students and Postdocs in the areas of signal processing, machine learning, medical imaging, communications and radar processing:
Host Professor: Yonina Eldar, department of mathematics and computer science, Weizmann Institute
Masters students, PhD students and Postdocs interested in the areas of signal processing, machine learning, medical imaging, communications and radar processing. Contact us.
Given the impossibility of travel during the COVID-19 crisis, Computational Imaging TC is launching an SPS Webinar Series SPACE (Signal Processing And Computational imagE formation) as a regular bi-weekly online seminar series to reach out to the global computational imaging and signal processing community.
Manuscript Due: May 30, 2021
Publication Date: February 2022
CFP Document
Manuscript Due: October 15, 2020
Publication Date: May 2021
CFP Document
Classification of SAR image data continues to be a big challenge. Major difficulties include the scarcity of available data, and the difficulty of semantically interpreting the SAR backscattered signal. There are no large-scale, SAR-derived image databases for Remote Sensing image analysis and knowledge discovery.
For the full job description and more informaiton, view the job description document.
You may have been wondering what happened to the list of tables of contents (TOCs) we were offering in the SPS Newsletter each month? Well, beginning in 2020, many of the SPS journals eliminated month-based issues and moved to volume-only publications; for these, there are no month-based TOCs. In order to address this, we worked to devise a method to collect a range of articles being posted to IEEEXplore® and assemble them into a separate, yet familiar, formatted TOC.
A Multiple Input Multiple Output MIMO radar makes use of orthogonal transmit waveforms either in time, in frequency or in code, in order to exploit diversity gain (due to the larger number of degrees of freedom than their phase-array counterparts) and obtain more information from a radar scenario or target.
The range resolution of a radar system is directly propotional to its bandwidth. Applications demand more and more range resolution and thus higher high frequency bandwidths. Unfortunately, these bandwidths are limited because of several reasons like techical (hardware limitations), atmospherical windows and specific regulations.
Applying tomographic SAR inversion using compressive sensing is well established in the SAR community. In contrast to state of the art approaches applied to satellite data novel CS reconstruction approaches combining sparsity with prior information will be researched and implemented. We intend to use high resolution airborne data sets from FHR and later, from our own sensor platform. The data is superior to satellite data concerning resolution und SNR.
I am writing this column on the first official day of spring while “sheltering in place” in Northern California. In these uncertain times, we are all experiencing the anxiety that comes from an unpredictable situation that we do not control; the shock of seeing, perhaps for the first time, all of the shelves in grocery stores empty; and the stress of working, living, and sleeping in the same place.
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