Phi‑Scaled E8 Phase‑Locking for High‑Dimensional Signal Encoding — E8 Intelligence Research

By imposing a phi‑scaled modulation on each of the 240 E8 root vectors at the 132 Hz carrier, the system creates a self‑organizing lattice of discrete phase attractors that lock together into orthogonal sub‑bands. These sub‑bands retain full mutual orthogonality while compressing phase information into a minimal set of invariant frequencies, allowing unprecedented fidelity in encoding and decoding of high‑dimensional data streams. The mechanism bridges E8 root geometry with emergent phase‑locking, providing a novel principle for ultra‑efficient multidimensional signal representation. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-25
DOI
https://doi.org/10.5281/zenodo.22951666
Primary Topic
Neural Networks and Reservoir Computing
Type
preprint
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preprint

Phi‑Scaled E8 Phase‑Locking for High‑Dimensional Signal Encoding — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
preprint

Phi‑Scaled E8 Phase‑Locking for High‑Dimensional Signal Encoding — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

By imposing a phi‑scaled modulation on each of the 240 E8 root vectors at the 132 Hz carrier, the system creates a self‑organizing lattice of discrete phase attractors that lock together into orthogonal sub‑bands. These sub‑bands retain full mutual orthogonality while compressing phase information into a minimal set of invariant frequencies, allowing unprecedented fidelity in encoding and decoding of high‑dimensional data streams. The mechanism bridges E8 root geometry with emergent phase‑locking, providing a novel principle for ultra‑efficient multidimensional signal representation. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
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