Ghost modes—false positives produced by RF demodulators—carry an operational cost.
They waste computational resources, trigger spurious alarms and can mask true signals. In
real-time systems, where performance criteria must be met every cycle[2], ghost hits compete
with latency budgets and true hit rates. This paper quantifies the cost of ghost modes in a
synthetic RF benchmark. We map iso-ghost contours across the SNR–∆f plane, construct cost
curves as a function of a ghost weight λ under a latency cap, and draw a ROC-like utility curve
under varying time budgets. The results reveal hotspots where ghost hits rise sharply, illustrate
how economic preferences drive optimal operating points and provide guidance on policies to
minimise false positives while respecting latency caps.
🧬 CODEX SIGNALYSIS
SIGNALYSIS
A portmanteau of signal + analysis, possibly implying:
- 📡 Signal decomposition and synthesis across RF, photonic, or neural domains
- 🧠 Cognitive signal interpretation—where raw data is transformed into actionable insight or symbolic meaning
- 🧭 Ethical provenance tracking—analyzing the origin and transformation of signals across systems
🔧
CODEX SIGNALYSIS is a hybrid protocol for encoding, decoding, and interpreting multi-layered signals—biological, digital, or symbolic—within a structured, scroll-like framework. It merges high-fidelity signal acquisition (e.g., quantum RF or photonic sensing) with symbolic annotation, enabling both technical diagnostics and narrative synthesis.
🌀 Applications
- Fringe-quantized neural architectures: Mapping signal provenance across photonic layers
- Digital provenance systems: Tracking authenticity and transformation of synthetic media
- Symbolic patch design: Encoding tactical or philosophical motifs into signal-processing protocols
- Terraforming diagnostics: Analyzing planetary signals for atmospheric or biospheric shifts
