Congratulations to Prof. Michael Elad on an impressive and unique winning succession:

Prof. Michael Elad has been selected for the 2018 SPS (Signal Processing Society) Technical Achievement Award for contributions to sparsity-based signal processing.

Michael Elad together with two past Ph.D. students, Tomer Peleg and Ron Rubinstein, have been selected for the 2018 IEEE Signal Processing Best Paper Award for our paper titled "Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model".

Michael Elad together with Michal Aharon, and Alfred Bruckstein, have been selected for the 2018 IEEE SPS Sustained Impact Paper Award for the below noted paper: "K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation" IEEE Transactions on Signal Processing, Volume 54, Number 11, November 2006

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