Recursive Harmonic Attunement Functions for Signal Stabilization in Disrupted Wireless Systems
Sheldon Lee Gosline · Preprints.org · 2025
Modern wireless networks are increasingly vulnerable to disruption, desynchronization, and overload, especially in dynamic environments where memory, frequency stability, or contextual regularity is compromised. This paper proposes a novel signal processing architecture inspired by long-wave civilizational memory patterns and recursive symbolic logic. We define two core operators: the Harmonic Attunement Function \mathcal{H}(t), which models continuity and stabilization over fluctuating input, and the Recursive Memory Operator \Delta^n \mathrm{rem}(t), which simulates layered temporal recall across signal epochs. Together, these operators form the basis of a symbolic signal-processing method designed to stabilize transmissions under epistemic or infrastructural discontinuities. We demonstrate how these theoretical constructs—rooted in cultural memory science and recursive encoding—can be translated into practical models for harmonically stabilized wireless communication, enabling phase-sensitive re-synchronization, improved redundancy handling, and symbolic correction in disrupted transmissions. A simulation scenario is proposed to test \mathcal{H}(t)-based stabilization in a hypothetically fragmented multi-node wireless network.