Sparse Representations in Signal and Image Processing

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.

10 years of news and resources for members of the IEEE Signal Processing Society

Sparse Representations in Signal and Image Processing

In this issue, we would like to pont to two online courses available via

1) Sparse Representations in Signal and Image Processing: Fundamentals (

2) Sparse Representations in Image Processing: From Theory to Practice (

The instructors are Dr. Michael Elad ( and a PhD student, Mr. Yaniv Romano (, both from the Technion - Israel Institute of Technology.

In the first course, the instructors will cover the fundamentals of the field of sparse representations, starting with its theoretical concepts, and systematically presenting its key achievements. While the second course will be a follow-up to the first introductory course of sparse representations. Whereas the first course puts emphasis on the theory and algorithms in this field, this course shows how these apply to actual signal and image processing needs.

SPS on Twitter

SPS Videos

Signal Processing in Home Assistants


Multimedia Forensics

Careers in Signal Processing             


Under the Radar