[Shunsuke Ono] Signal Reconstruction with Decomposition by Unified Convex Optimization Framework

Research Director

Shunsuke Ono

Shunsuke Ono

Institute of Innovative Research Laboratory for Future Interdisciplinary Research of Science and Technology, Tokyo Institute of Technology
Assistant Professor
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Outline

This project aims to establish a flexible framework for reconstructing the signal of interest from degraded observations. The key idea of our framework is twofold. One is to model the signal of interest as the sum of a number of meaningful components and reconstruct them in parallel with component-wise regularizations that exploit a-priori information on each component. This enables high-quality signal reconstruction in low signal-to-noise ratio scenarios. The other is to develop an efficient and scalable convex optimization methodology that can solve various signal reconstruction problems in a unified manner.

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