DSLGGRDec 31, 2025

Group Cross-Correlations with Faintly Constrained Filters

arXiv:2601.00045v1
Originality Synthesis-oriented
AI Analysis

This work addresses a theoretical limitation in group cross-correlations for researchers in mathematical signal processing or group theory, but it appears incremental as it builds on prior constraints.

The paper tackles the problem of incompatibility in group cross-correlations for actions with non-compact stabilizers by introducing a notion with less constrained filters, and it generalizes results to non-transitive actions and weakens unimodularity assumptions.

We provide a notion of group cross-correlations, where the associated filter is not as tightly constrained as in the previous literature. This resolves an incompatibility previous constraints have for group actions with non-compact stabilizers. Moreover, we generalize previous results to group actions that are not necessarily transitive, and we weaken the common assumption of unimodularity.

Foundations

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