A Practical Guide for RF Engineers in 2025 By Benjamin J. GilbertSpectrcyde RF Quantum SCYTHEbgilbert2@com.eduFull Paper PDF · Reproducible Code What Is Spectrum Sensing? Detecting, classifying, or localizing active RF transmissions in a frequency band…
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…
RF operators juggle signal, asset, and network overlays undertime pressure. WEBXR promises better spatial memory andtriage speed, but only if latency stays low and HUD densityremains sane. We ask: where are the useful operating pointsfor…
Visualization servers that subscribe to live intelligencetopics face adversarial traffic: malformed payloads (poison),bursts (flood), and stale replays. Heavy cryptographic defenses are effective but often incompatible with latency andinteroperability constraints. We ask: how far can we…
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…
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…
Route orchestration in multi-asset autonomous systems requires careful management of the transition from planned to active states. As fleet sizes grow and mission complexity increases,the latency between route planning and execution becomes acritical performance bottleneck.…
Xinhao Liandao Radio-frequency neuromodulation has emerged as a promising therapeutic modality for treating neurological disorders,offering precise spatial targeting and non-invasive delivery [1].However, RF energy deposition in biological tissues raisescritical safety concerns, particularly regarding specific absorption…
Modern distributed systems generate massive volumes oftelemetry data requiring both real-time processing and longterm analytical storage. Traditional single-database approachesstruggle to optimize for conflicting requirements: time-seriesworkloads demand high ingestion throughput and temporalqueries, while analytical workloads require…
