Sparse Signal Processing and Compressed Sensing Recovery

The presented work revolves around sparsity. It contributes to dictionary training for sparse representation with a new algorithm and analysis. It showcases the usability of trained dictionary in image processing problems. It demonstrates a new framework for image recovery (inpainting and denoising) using sparse representation. In the end, it proposes an extension of the well-known sparse signal recovery algorithm, Orthogonal Matching Pursuit (OMP) for compressed sensing. It also provides a complete analysis of the proposed extension, and its theoretical guarantees.

Autorentext

Sujit Kumar Sahoo received the B.Tech. degree in electrical engineering in 2006 from NIT, Rourkela, India, and the Ph.D. degrees in electrical and electronic engineering in 2014 from NTU, Singapore. From 2006 to 2007, he was a Software Engineer at Sasken Comm. Tech. Ltd., Bangalore, India. Since 2012, he has been a Researcher at NTU, Singapore.