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Espectre is an edge machine learning framework and motion detection platform that uses Wi-Fi Channel State Information to identify human presence and movement. It functions as a sensing toolkit for ESP32 microcontrollers, enabling the detection of motion through walls without the use of cameras or wearables. The project distinguishes itself by executing compact neural network classifiers and mathematical detection algorithms directly on the microcontroller. It utilizes a MicroPython runtime to allow for the prototyping and deployment of sensing logic and wireless signal processing algorithms
LTE SDR cell scanner optimized to work with very low performance RF front ends (8bit A/D, 20dB noise figure)
FALCON - Fast Analysis of LTE Control channels
The main features of falkenber9/falcon are: Signal Analysis Tools.
Open-source alternatives to falkenber9/falcon include: francescopace/espectre — Espectre is an edge machine learning framework and motion detection platform that uses Wi-Fi Channel State Information… efforg/crocodile-hunter. evrytania/lte-cell-scanner — LTE SDR cell scanner optimized to work with very low performance RF front ends (8bit A/D, 20dB noise figure). fgsect/scat — SCAT: Signaling Collection and Analysis Tool. intelmq/intelmq — IntelMQ is a solution for IT security teams for collecting and processing security feeds using a message queuing… ptrkrysik/gr-gsm.
