Well, we're at the end of 2019. Most likely, this was like any other year for most of us. We had some successes and some failures, but overall, it's not a bad year. We're all getting ready for holidays, with our goals for 2020 slowly brewing in the back of our minds.

Accounts for ordering membership development materials are now created at the Section and Student Branch level.  New sign in credentials for the Marcore ordering portal were sent to MD Chairs (or Section Chairs) and Student Branch Chairs in early August. 

The Signal Processing Society (SPS) has 13 Technical Committees and 2 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.

Dr. Jian Li received the M.Sc. and Ph.D. degrees in electrical engineering from Ohio State University, Columbus, in 1987 and 1991, respectively. She is currently a Professor in the Department of Electrical and Computer Engineering, University of Florida, Gainesville. She is also affiliated with the Department of Electronic Engineering and Information Sciences, University of Science and Technology of China, Hefei.

Did you know the Society offers funding under the Member Driven Initiatives program for events that encourage involvement by SPS membership, including local chapters, universities, industry members as well as individual members?

Accounts for ordering membership development materials are now created at the Section and Student Branch level.  New sign in credentials for the Marcore ordering portal were sent to MD Chairs (or Section Chairs) and Student Branch Chairs in early August. 

This webinar, “Toward Efficient and Flexible CNN-based Denoising in Photography,” begins with the design of denoising CNN (DnCNN) model by incorporating residual learning and batch normalization. 

Due to overwhelming interest in Member Driven Initiative funding, the IEEE Signal Processing Society has changed its process for submitting proposals through the program. This includes proposals for Forums, Regional Meetings, and Chapter Driven Initiatives.

Sheila S. Hemami received the B.S.E.E. degree from the University of Michigan, Ann Arbor, MI, USA, in 1990 and the M.S.E.E. and Ph.D. degrees from Stanford University, Stanford, CA, USA, in 1992 and 1994, respectively and all in electrical engineering. She is presently Director of Strategic Technical Opportunities at Draper in Cambridge, MA...

In recent years, the commercial audio world has seen an increasing number of application of machine learning in commercial audio products...