Your updated paper improves upon the previous version with added details and visuals. The inclusion of the FP surrogate formula (ˆrt = k (∆ft − ϵ) + ηt) and the Fused upper bound fusion method…
Davie Jonez 19 mutual friends Catherine Bradford 16 mutual friends Matthew Gilbert 5 mutual friends Melissa Williams 32 mutual friends Ann Fassetta 18 mutual friends Rick Heinicken 2 mutual friends Vincent Gilbert 7 mutual friends…
We integrate a DOMA motion head into an RFtracking stack to forecast next-position and short-horizon trajectories from spectral/angle features. A variance-aware fusionwith a kinematic filter yields stable paths under SNR variation.We document latency, accuracy, and…
The RK4 (Runge-Kutta 4th order) integration method is a numerical technique used in your paper’s atmospheric ray tracing component (/v1/propagate) to solve the differential equations governing RF signal propagation paths in a modified-refractivity profile (z,…
Latent Attention is an innovative approach designed to optimize the efficiency of attention mechanisms in transformer models, particularly for RF (Radio Frequency) spectrum modeling as explored in the paper Normalization & Attention Backends for RF:…
Blog Post: Exploring Normalization and Attention Backends for RF with RMSNorm and AttentionModelAdapter Introduction Welcome to our deep dive into the latest advancements in RF (Radio Frequency) spectrum modeling! In a recent study titled Normalization…
Introduction In the world of edge RF (Radio Frequency) systems, balancing latency and accuracy is a constant challenge. A new approach called “speculative ensembles” offers a promising solution by combining fast and slow models to…
RF monitoring stacks must compress and interpret highrate spectra under tight latency and power budgets. We targetthe common case where the front-end produces windowedFFT power spectra (magnitude-only) and the back-end must(1) compress to a compact…
Long spectrum sequences stress attention memory and bandwidth. We benchmark grouped-query attention(GQA) against multi-head attention (MHA) and multi-queryattention (MQA) on FFT-token streams. GQA provides substantialthroughput gains and peak-memory reductions while maintainingaccuracy across token groupings. RF…
RF monitoring stacks must compress and interpret highrate spectra under tight latency and power budgets. We targetthe common case where the front-end produces windowedFFT power spectra (magnitude-only) and the back-end must(1) compress to a compact…