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The Latest News, Articles, and Events in Signal Processing

In this series, we aim to introduce senior society members and other experts of the signal processing field. This month, we are happy to introduce Prof. Sergios Theodoridis, Professor of Signal Processing and Machine Learning in the Department of Informatics and Telecommunications at the University of Athens.

For our April 2015 issue, we cover recent patents granted in the area of wavelet analysis. The section below covers patents granted recently for seismic data analysis, image stream compression, audio identification, continuous wavelet estimation, multidimensional data analysis, motion tracking, dispersion measurement, time domain network analysis, and video fingerprinting.

Computer scientists at Washington University in St. Louis’ School of Engineering & Applied Science analyzed a huge amount of data regarding an important protein and discovered its connection in human history as well as clues about its role in complex neurological diseases.

Qazi, Farhan Aslam (State University of New York at Buffalo) “Good code sets based on Piecewise Linear FM”, (2015), Advisor: Fam, Adly T

With the explosive growth of 5G wireless technology development, signal processing techniques are playing more and more important roles in many aspects. As an industry-oriented technical committee of the IEEE Signal Processing Society, Industry DSP Technology Standing Committee (IDSP-SC) is actively promoting 5G technology from a practice and industry perspective.

The IEEE Signal Processing Society invites nominations for the 2016 Class of SPS Distinguished Lecturers (DLs). Per the Board of Governors’ motion, this year the Society will also appoint a special Distinguished Lecturer in the area of Machine Learning/Data Science for a two-year term. The special Distinguished Lecturer will be available for a period of four years, so we will appoint a sixth Distinguished Lecturer in 2015 and in 2017, explicitly in the area of Machine Learning/Data Science.

Now IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form at the related TC section pages.

Please refer to the following webpage for the latest updates on upcoming conferences in Signal Processing.

http://www.signalprocessingsociety.org/conferences/upcoming-conferences/

For our March 2015 issue, we cover recent patents granted in the area of Deep Lerning techniques. The section below covers patents granted recently for natural language processing, research of neural networks, correlation analysis between data streams, document analysis and medical image enhancement.

The AASP TC reports on elections, the latest IEEE SPM special issue on assisted listening, upcoming challenges and conferences.

Gopalan, Prem K (Princeton University) “Scalable inference of discrete data: User behavior, networks and genetic variation” (2015) Advisor: Blei, David M.

The IEEE MGA vTools team is happy to announce successful new releases for the following vTools applications:

All Section officers and Chapter/Affinity Group chairs have been contacted with a reminder that the following annual reports are required to be eligible for a rebate:

The IEEE Signal Processing Society is happy to announce the addition of fifteen new Chapters formed in 2019. We welcome the new SPS Chapters and wish them great success in their future activities and events.

Karl Nieman (The University of Texas at Austin) "Space-Time-Frequency Methods for Interference-Limited Communication Systems", (2014), Advisor: Brian Evans

On February 8, the Board of Directors of the IEEE voted to approve a set of amendments to the organization’s patent policy. Previously, the IEEE Standards Association (“IEEE-SA”) has established new rules that must be followed in all IEEE standards development activities.

In this series, we introduce a scientist, who uses signal processing techniques for his research findings, by means of an interview. This month, we are happy to introduce Dr. Jorge Arroyo Palacios, a postdoctoral scholar at Department of Physiological Nursing, University of California, San Francisco, whose research mainly focuses on physiological signal processing.

The PhysioNet/Computing in Cardiology Challenge 2015 is now open! This year's challenge is 'Reducing False Arrhythmia Alarms in the ICU'. False alarms in the ICU can lead to a disruption of care, impacting both the patient and the clinical staff through noise disturbances, desensitization to warnings and slowing of response times, leading to decreased quality of care. False alarm rates can be as high as 90% or more. To address this issue we have developed an expert-labelled data set of 1250 life-threatening arrhythmia alarms with five minutes of electrophysiological and pulsatile waveform data leading up to each alarm event. Competitors are challenged to devise a method of processing all the available data to reduce false alarms with minimal or no effect on true (vital) alarms.

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