July 2011

You are here

Inside Signal Processing Newsletter Home Page

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.

News and Resources for Members of the IEEE Signal Processing Society

July 2011

The IEEE Signal Processing Society Chapter of the Year Award will be presented for the first time in 2012. The award will be presented annually to a Chapter that has provided their membership with the highest quality of programs, activities and services.

Recognizing the increased relevance of, and research interest in this area, the Information Forensics and Security Technical Committee of the IEEE Signal Processing Society organized a special session on Secure Signal Processing at the recently held ICASSP 2011 at Prague on May 25, 2011.

Quan Ding (University of Rhode Island), “Statistical signal processing and its applications to detection, model order selection, and classification”, adviser: Prof. Steven Kay (2011)

This dissertation has focused on topics in statistical signal processing including detection and estimation theory, information fusion, model order selection, as well as their applications to standoff detection.

This is an exciting time for signal processing education. We’ll review some of the recent progress and future trends in SP education through a range of different initiatives

An Industrial PhD Studentship funded by the ESPRC through the 2011 Dorothy Hodgkin Postgraduate Award Scheme (DHPA) is available in the Centre for Communications Research (CCR) at the University of Bristol in collaboration with Toshiba Research Europe Ltd (TREL).

The project is entitled “Compressive sensing for M2M applications including healthcare and smart energy”. In this project, the student will look at ways of designing compressive sensing algorithm to exploit sparsity in M2M data such as biomedical signals or smart energy sensor data.

An exciting opportunity is available to join the newly established laboratory of Stephen Montgomery in the Department of Pathology and Department of Genetics at Stanford University School of Medicine.

Dr. Montgomery’s group focuses on understanding the effects of genome variation on cellular phenotypes and cellular modeling of disease. His group uses genomic approaches such as next generation RNA sequencing in combination with developing and utilizing state-of-the-art bioinformatics and statistical genomics approaches.

Mobile media search is a topic that has enjoyed rapid growth in consumer demand and hence receives a lot of attention from content providers and device manufacturers.

Joachim Thiemann (McGill University), “A Sparse Auditory Envelope Representation with Iterative Reconstruction    for Audio Coding”, Advisor: Prof. Peter Kabal

IEEE has launched new features for the IEEE Xplore® digital library that expand subscription options and add increased value to content and search results.

Highlights of the recent update include the following:

Pages

Table of Contents:

SPS on Twitter

  • DEADLINE EXTENDED: The 2023 IEEE International Workshop on Machine Learning for Signal Processing is now accepting… https://t.co/NLH2u19a3y
  • ONE MONTH OUT! We are celebrating the inaugural SPS Day on 2 June, honoring the date the Society was established in… https://t.co/V6Z3wKGK1O
  • The new SPS Scholarship Program welcomes applications from students interested in pursuing signal processing educat… https://t.co/0aYPMDSWDj
  • CALL FOR PAPERS: The IEEE Journal of Selected Topics in Signal Processing is now seeking submissions for a Special… https://t.co/NPCGrSjQbh
  • Test your knowledge of signal processing history with our April trivia! Our 75th anniversary celebration continues:… https://t.co/4xal7voFER

IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel