Convex Poster Day
Date:
Ruban and I got a chance to present a poster titled: ‘Signal Decomposition via Quadratic-Separable Optimization’.
Here, we consider the classic problem decomposing a signal with missing entries into a sum of components and present an optimization-based signal decomposition framework: Quadratic-Separable Solver (QSS) for this problem. We also test this approach out on various real-life applications ranging from atmospheric $CO_2$ calibration to soiling losses in solar cells.
You can find our poster here.
Along with the poster, here’s a linktree with a brief presentation, all our codes and some mathematical precursors behind this problem explained: Linktree
