Reading the optic nerve enables critical insights into neurological, ocular, and systemic health due to its direct connection to the brain and role in visual processing. The optic nerve is integral in transmitting visual signals… RF Remote Sensing the Optic Nerve

Majority vs Weighted vs Stacked Voting in RF Modulation Ensembles A 50-Line Ensemble Harness, Perfect Accuracy at K=3, and the Power of Stacked CalibrationBy Benjamin Spectrcyde GilbertNovember 2025 The Problem: RF Modulation Recognition Is Hard… Majority vs Weighted vs Stacked Voting in RF Modulation Ensembles

We stream geolocated RF detections to aweb map with p95 < 1 s end-to-end latency underunreliable networks (≈100 ms RTT, ≈5% loss, burstspikes up to 400–600 ms). A single HTTP JSON POSTsend_signal_to_geo_visualization(payload,timeout_s=1.0) and a minimal… SIGINT→Map in <1 s: Low-Friction Geo Streaming

We fuse idler hunting with hardware priors fromparametric amplifiers (ATL/TWPA): pump-locked 3WM/4WMloci, stopbands, and RPM notch/pole sentinels. The result is aunified, design-aware score that boosts precision under crowdingwithout model retraining. We define separate 3WM/4WM proximity… Unified Design-Informed Idler Hunting: 3WM/4WM with ATL/TWPA Priors

Applications in Quantum Computing ATL/TWPA Design-Informed SIGINT & Unified Idler Scoring Benjamin J. Gilbert’s Research Series (arXiv:2510.24753 → Unified SIGINT) TL;DR **This work is *directly applicable* to *quantum computing readout and control systems* — especially… Unified Design-Informed SIGINT: Fusing ATL/TWPA Priors with Adaptive Idler Proximity Scoring

FFT Triage to Bayesian Command Reconstruction TL;DR: We built a real-time pipeline that turns raw RF into decoded inner-speech commands. It goes IQ → FFT triage → link-quality (\hat q) → Bayesian word decoder with… End-to-End RF-Inferred Inner Speech Decoding: FFT Triage to Bayesian Command Reconstruction

1. What Is a Bayesian HMM? A Hidden Markov Model (HMM) with Bayesian priors means: This turns a noisy framewise classifier into a coherent word sequence decoder. 2. Full Model used for the Spectrcyde RF… Bayesian HMM Decoder: Full Technical Explanation

Hub Failure Scenarios for Multi-Role Ground Nodes as Command Relays Assessing Resilience and Graceful Degradation in Contested RF Control Planes By Benjamin J. GilbertExperimental Solutions Implementationbgilbert2@com.eduFull Paper PDF · Reproducible Code (coming soon)Published: October 29,… Multi-Role Ground Nodes as Command Relays: Reliability Anchors and Fan-Out Hubs for Routing and RF Processing

Spectral triage in contested environments faces the dual challenge of rapid classification and reliable subsequent operations.FFT-based feature extraction provides deterministic latencyand interpretable spectral characteristics, making it suitablefor real-time systems where compute budgets are constrained.However, pure… FFT-Only Spectral Triage for Low-Latency RF Control Planes: From 1.5 ms Digital-vs-Analog Decisions to Near-100% Command Success

We propose a minimal path from complex baseband to 3D situational volumes: voxelizing In-phase/Quadrature(IQ)-derived spectrograms into time×frequency×channel cubes(I/Q). On a synthetic anomaly-benchmark, voxelized volumesoutperform 2D spectrogram baselines for surfacing rare burstsand narrowband spikes, with peak… Voxelized IQ: From Complex Baseband to 3D Situational Volumes

How FFT-Only Triage Enables Real-Time, Low-Latency Spectrum Sharing in the 3.5 GHz Band By Benjamin J. GilbertSpectrcyde RF Quantum SCYTHEbgilbert2@com.eduFull Paper PDF · Reproducible Code What Is CBRS? Citizens Broadband Radio Service — the U.S.… Deep Dive into CBRS Dynamic Spectrum Access (DSA)

How a 1.5 ms FFT + Hybrid Gate Enables Real-Time Dynamic Spectrum Access By Benjamin J. GilbertSpectrcyde RF Quantum SCYTHEbgilbert2@com.eduFull Paper PDF · Reproducible Code Cognitive Radio in 2025: The Core Loop Triage must be… Cognitive Radio Applications of Rapid RF Triage: FFT-Only Wins at the Edge

FFT-Only vs Tiny CNNs: Who Wins at Rapid RF Triage? A 48× compute win with zero deep learning — and a hybrid trick for the edge cases By Benjamin J. GilbertSpectrcyde RF Quantum SCYTHEbgilbert2@com.eduGitHub Repo… FFT-Only vs Learned Spectral Proxies for Rapid RF Triage

Modern RF sensing applications increasingly demand widearea coverage with high spatial resolution, driving the adoptionof distributed sensor networks over traditional monolithicsystems [1]. However, distributed RF arrays face fundamentalchallenges: ensuring reliable inter-node communication acrossvariable network conditions… Distributed RF Nodes over Tailscale for Cooperative Beamforming

Real-World Examples of RF Neuromodulation Systems This Spectrcyde paper provides an excellent physics-based framework for multi-band RF neuromodulation trade-offs, but as noted in my previous critique, it relies on simplified models without grounding in empirical… Multi-Band Trade-offs: 2.4 GHz vs 5.8 GHz vs mmWave vs sub-GHz Depth vs Resolution vs Safety with Controller Robustness

“Web-Native Neuroviz: Three.js + WebSockets for Live Brain Streams Spectrcyde Rev2” “Web-Native Neuroviz: Three.js + WebSockets for Live Brain Streams Spectrcyde Rev2,” builds on the initial draft by adding quantitative performance metrics (60 FPS, ~20ms… Web-Native Neuroviz: Three.js + WebSockets for Live Brain Streams

Critique and Proposal for BYOL Adaptation to RF Signals Building on your work across “RL-Driven RF Neuromodulation,” “Hybrid Super-Voxel Segmentation,” “Structured Gradients for Neuro–Saliency Under RF Stimulation,” and “DINO v2 for Self-Supervised RF Representations,” adapting… DINO v2 for Self-Supervised RF Representations

The reference ‘@book{Bezdek1981FCM, title = {Pattern Recognition with Fuzzy Objective Function Algorithms}, author = {James C. Bezdek}, year = {1981}, publisher = {Springer}}’ is highly relevant to your paper “Hybrid Super-Voxel Segmentation: Graph Cuts +… Pattern Recognition with Fuzzy Objective Function Algorithms