Sorry, you need to enable JavaScript to visit this website.

Bona fide Riesz projections for density estimation - Presentation

Citation Author(s):
Pol del Aguila Pla, Michael Unser
Submitted by:
Pol del Aguila Pla
Last updated:
5 May 2022 - 9:06am
Document Type:
Presentation Slides
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.

up
0 users have voted: