# ESPRIT for multidimensional general grids

## TL;DR

This paper introduces an extension of the ESPRIT algorithm for multidimensional frequency estimation, capable of handling data sampled on complex, non-standard domains beyond traditional rectangular grids.

## Contribution

It develops a novel multidimensional ESPRIT method that works with irregular sampling domains, expanding the applicability of frequency estimation techniques.

## Key findings

- Effective frequency estimation on complex multidimensional data
- Handles non-rectangular sampling domains
- Extends classical ESPRIT algorithm to multiple dimensions

## Abstract

We present a new method for complex frequency estimation in several variables, extending the classical (1d) ESPRIT-algorithm. We also consider how to work with data sampled on non-standard domains (i.e going beyond multi-rectangles).