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Welcome to the IEEE Signal Processing Society

Rabab Ward, President, IEEE Signal Processing Society

Rabab K. Ward, President
IEEE Signal Processing Society

The IEEE's first society, the Signal Processing Society is the world’s premier professional society for signal processing scientists and professionals since 1948.

Signal processing is the enabling technology for the generation, transformation, and interpretation of information. SPS serves its members through high quality publications, conferences, technical and educational activities, and leadership opportunities. Its goal is to keep members abreast of the latest information and to serve the public at large.


03 May

Athina Petropolu (Rutgers University)


Lecture Date: May 3, 2017
Chapter: Greece
Chapter Chair: Kostas Berberidis

05 May

IEEE TMM Special Issue on Video Analytics: Challenges, Algorithms, and Applications

Special Issue Deadlines

Manuscript Due: May 5, 2017 [Extended]
Publicaton Date: Early 2018

05 May

Athina Petropolu (Rutgers University)


Lecture Date: May 5, 2017
Chapter: Long Island
Chapter Chair: Jessica Donaldson

08 May

(RadarConf 2017) 2017 IEEE Radar Conference


May 8-12, 2017
Location: Seattle, WA, USA

17 May

Athina Petropolu (Rutgers University)


Lecture Date: May 17, 2017
Chapter: Turkey
Chapter Chair: Suleyman Serdar Kozat

29 May

2017 IEEE SPS Summer School on Signal Processing for 5G Wireless Access

Seasonal Schools

May 29 - June 1, 2017
Registration Deadline: TBD
Location: Gothenburg, Sweden


Online Archive and Document Repository

SPS eNewsletter

Timely news, updates and resources for SPS members

Signal Processing Magazine

The source for up-to-date, emerging and active technical developments in Signal Processing

SPS Resource Center

Presentations, lectures and tutorials from the world’s leading signal processing experts

Chapter Locator

Find your local chapter and connect with fellow industry professionals, academics and students


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What is Signal Processing?      

ICASSP 2016-Opening Ceremony & Awards

Signal Processing and Machine Learning