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Bona fide Riesz projections for density estimation - Poster

Citation Author(s):
Pol del Aguila Pla, Michael Unser
Submitted by:
Pol del Aguila Pla
Last updated:
5 May 2022 - 9:10am
Document Type:
Poster
Document Year:
2022
Event:
Presenters:
Pol del Aguila Pla
Paper Code:
SPTM-9.1
 

The projection of sample measurements onto a reconstruction space represented by a basis on a regular grid is a powerful and simple approach to estimate a probability density function. In this paper, we focus on Riesz bases and propose a projection operator that, in contrast to previous works, guarantees the bona fide properties for the estimate, namely, non-negativity and total probability mass 1. Our bona fide projection is defined as a convex problem. We propose solution techniques and evaluate them. Results suggest an improved performance, specifically in circumstances prone to rippling effects.

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