SPS Feed

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

The Latest News, Articles, and Events in Signal Processing

IEEE Open Journal of Signal Processing

The fundamental task of classification given a limited number of training data samples is considered for physicalsystems with known parametric statistical models. The standalone learning-based and statistical model-based classifiers face major challenges towards the fulfillment of the classification task using a small training set. Specifically, classifiers that solely rely on the physics-based statistical models usually suffer from their inability to properly tune the underlying unobservable parameters, which leads to a mismatched representation of the system’s behaviors.

IEEE Open Journal of Signal Processing

We develop a novel 2D functional learning framework that employs a sparsity-promoting regularization based on second-order derivatives. Motivated by the nature of the regularizer, we restrict the search space to the span of piecewise-linear box splines shifted on a 2D lattice. Our formulation of the infinite-dimensional problem on this search space allows us to recast it exactly as a finite-dimensional one that can be solved using standard methods in convex optimization.

IEEE Open Journal of Signal Processing

The paper develops novel algorithms for time-varying (TV) sparse channel estimation in Massive multiple-input, multiple-output (MMIMO) systems. This is achieved by employing a novel reduced (non-uniformly spaced tap) delay-line equalizer, which can be related to low/reduced rank filters. This low rank filter is implemented by deriving an innovative TV (Krylov-space based) Multi-Stage Kalman Filter (MSKF), employing appropriate state estimation techniques.

In this talk, we discuss a new transform technique for solving fractional programming (FP), i.e., a family of optimization problems with ratio terms. The classic FP techniques such as the Charnes-Cooper and Dinkelbach’s methods typically deal with a single ratio, and in general, do not work for multiple ratios. 

The IEEE Signal Processing Society is happy to announce the addition of twenty-three new Chapters formed in 2021. We welcome the new SPS Chapters and wish them great success in their future activities and events.

The IEEE Signal Processing Society is seeking nominations for future leaders! Nominations for several SPS leadership roles are open now, and we are now soliciting for the following roles with terms beginning 1 January 2023.

The 2022 Multimedia Prize Paper Award Nomination Period is Open. Any paper published in T-MM in 2019, 2020 or 2021 is eligible. Judging shall be on the bases of originality, subject matter, timeliness, potential impact, and presentation quality.

Lecture Date: April 13, 2022 (Virtual Lecture)
Chapter: North New Jersey
Chapter Chair: Alfredo Tan
Topic: TBA

Lecture Date: March 1, 2022 (Virtual Lecture)
Chapter: Tokyo
Chapter Chair: Kazuya Takeda
Topic: TBA

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 related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.

The COVID-19 pandemic has prompted a global shift in meetings and events, many moving from in-person gatherings to a more virtual implementation. SPS embraces these changes not only during these unprecedentedly uncertain times, but to inspire future potential for its members and Chapters to expand their reach, engaging and empowering members and potential members to connect locally and globally, especially at a time when timely research and connection are of such great importance.

The IEEE Transactions on Multimedia invites nominations for the position of Editor-in-Chief for a 3-year term starting 1 January 2023. Nominations should be submitted to the Steering Committee Chair, Wenwu Zhu, IEEE Transactions on Multimedia, via email to wwzhu@tsinghua.edu.cn.

IEEE Signal Processing Magazine
Robots are rapidly becoming an integral part of daily life. The mechanizing of routine tasks has been underway for decades, with development making particularly remarkable progress over the past several years. Now, with the development robots that can closely interact with humans, sensing users’ needs and often relieving people of dangerous tasks, robotic technology is entering a new phase of intimacy and practicality.
IEEE Signal Processing Magazine
A window function is a mathematical function that is zero valued outside some chosen interval [1] , [2] . For applications like filtering, detection, and estimation, the window functions take the form of limited time functions, which are in general real and even functions [3] , [4] , while for applications like beamforming and image processing, they are limited spatial functions. A spatial window can be a complex function for optimizing the beams in magnitude as well as in phase, as in the case of certain antenna arrays, where the phasor currents in the array are complex numbers [5].
IEEE Signal Processing Magazine
A window function is a mathematical function that is zero valued outside some chosen interval [1] , [2] . For applications like filtering, detection, and estimation, the window functions take the form of limited time functions, which are in general real and even functions [3] , [4] , while for applications like beamforming and image processing, they are limited spatial functions. A spatial window can be a complex function for optimizing the beams in magnitude as well as in phase, as in the case of certain antenna arrays, where the phasor currents in the array are complex numbers [5].
IEEE Signal Processing Magazine
The IEEE Signal Processing Society (SPS) is an international organization whose purpose is to advance and disseminate state-of-the-art scientific information and resources, educate the SP community, and provide a venue where people can interact and exchange ideas. To achieve its mission, the SPS relies heavily on volunteers working in the area of SP, governed by collaborative organizational practices in decision making that are transparent and fair. By bringing volunteers together, the SPS catalyzes advances in the field of SP in its pursuit of excellence.

Pages

SPS on Twitter

  • Celebrate International Women's Day with SPS! This Tuesday, 8 March, join Dr. Neeli Prasad for "Unlocking the Poten… https://t.co/GDQIgjSpLs
  • Check out the SPS Education Short Courses, new at ! Earn PDH and CEU certificates by attending either in… https://t.co/1uYFNvltg7
  • We're partnering with the IEEE Humanitarian Activities on Wednesday, 2 March to bring you a new webinar, "Increasin… https://t.co/JzhaBl17UY
  • The DEGAS Webinar Series continues this Thursday, 3 March when Dr. Steven Smith present "Causal Inference on Networ… https://t.co/10kppomXdl
  • In the February issue of the Inside Signal Processing Newsletter, we talk to Dr. Oriol Vinyals, who discusses his j… https://t.co/XLQ7tpEq0A

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar