Dedicated deep-dive site
A standalone site is published for this domain at electromagnetics.senuamedia.com — with the per-instance results, walkthroughs, and downloadable data behind every reading on this page.
Same framework, applied to Electromagnetics
The framework's value lies in its universality across disparate domains. The brake operator \(\mathcal{B}\), dispersion \(\mathcal{S}\), consensus \(\mathcal{M}\), spectral primitive \(\mathcal{P}\), anti-shadow detector \(\mathfrak{A}\), and scope-reporter \(\mathscr{A}\) — together with Theorems 1–13 — are applied here exactly as on every other domain. Source code: github.com/senuamedia/uniformity. No per-domain calibration. No imported threshold. No bespoke fit.
Cross-domain catalogue — \(\beta\)-strip
Every brake-exponent reading across every domain. The same operator \(\mathcal{B}\) produced every point. This domain's points are highlighted; the rest of the catalogue is visible for cross-domain context.
Click any point for the full reading: instance, domain, \(\beta\) value, and a link to the source code.
What the framework provides for electromagnetics
Electromagnetic spectrum applications consolidate around five missions, each using the same six framework operators: RFI detection (cross-receiver brake-rate consensus separating interference from background), radar denoising (cross-receiver \(\mathcal{M}\) median + \(\mathfrak{A}\) bad-receiver exclusion), jamming detection and mitigation (the cascade signature of intentional vs unintentional interference), broadband EMF field cascades (ambient and engineered), and voice anti-spoofing (the cascade signature of synthetic vs human speech).
Status
Active v3 catalogue
All five missions in active v3 development. Per-mission results consolidate at domains/electromagnetics/.
Framework reading
The cross-receiver \(\mathcal{M}\) median is the framework operator most exercised here: with N independent receivers observing the same RF environment, the median brake-rate across receivers gives a noise-resistant detection statistic that no single receiver can match. The anti-shadow operator \(\mathfrak{A}\) cleanly excludes a faulty or compromised receiver — the framework's domain-independent answer to the bad-sensor problem.