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 The communication performance in Wi-Fi, cellular, smart grid, underwater acoustic, and many other modern systems, is limited by non-Gaussian noise/interference instead of Gaussian noise.

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. Those rules require that standards be developed under procedures that incorporate due process, openness, transparency, broad consensus building, and balance without dominance to ensure that all parties are heard.

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.

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.

The conference formerly known as the “Digital Signal Processing Workshop” (DSP Workshop) is now known as the “Signal Processing Workshop”.  This name evolution is a reflection of the ever-expanding reach of signal processing --- to processing on graphs, or xampled processing of continuous time signals, or plenoptic sensors, or financial analysis, to name a few.  The conference continues to partner with the SPS Education Committee, and is a premier outlet for signal processing education.  The Website is spw2015.coe.ut