BrowSDR is a high-performance, browser-based Software Defined Radio (SDR) receiver designed specifically for HackRF devices. By utilizing WebUSB and WebAssembly, it allows users to tune into various radio modes directly within a web browser without the need for native drivers or software installation. The platform features a multi-VFO architecture for simultaneous frequency monitoring, real-time WebGL waterfall displays, and AI-powered live transcription of demodulated audio.
Key features include:
- Multi-VFO support for independent tuning and DSP settings
- High-speed signal processing via Rust and WASM
- Real-time spectrum analysis and GPU-accelerated waterfall display
- Wide demodulation support including WFM, NFM, AM, USB, LSB, DSB, CW, and raw IQ
- Built-in POCSAG decoding and RDS station information retrieval
- Remote access capabilities via WebRTC/PeerJS
Key features include:
- Multi-VFO support for independent tuning and DSP settings
- High-speed signal processing via Rust and WASM
- Real-time spectrum analysis and GPU-accelerated waterfall display
- Wide demodulation support including WFM, NFM, AM, USB, LSB, DSB, CW, and raw IQ
- Built-in POCSAG decoding and RDS station information retrieval
- Remote access capabilities via WebRTC/PeerJS
Mode-S demodulator written in C++ with CRC-based message framing. Stream1090 is a proof of concept implementation taking a different approach in order to identify mode-s messages in an SDR signal stream. Most implementations look for the so-called preamble (a sequence of pulses anounncing a message). Stream1090 skips this step and maintains directly a set of shift registers. Based on the CRC sum and other criteria, messages are being identified. The hope is that in high traffic situations, a higher overall message rate can be achieved compared to a preamble based approach.
A decades-long search for extraterrestrial intelligence, initially powered by volunteers using their home computers, has yielded 100 intriguing signals that UC Berkeley scientists are now investigating with more powerful telescopes.
A project by Martin Pittermann demonstrates how to build a sophisticated ultrasound sensor using a Raspberry Pi Pico and basic components, employing Frequency-Modulated Continuous Wave (FMCW) radar techniques for distance measurement and potential wind speed detection.
Usually databases are treated primarily as fairly dumb data storage systems, but they can be capable of much more. Case in point the PostgreSQL database and its – Ada-based – PL/pgSQL programming language, which allows you to perform significantly more complex operations than would be realistically possible with raw SQL. Case in point the implementation of a Kalman Filter by the folk over at Traconiq, which thus removes the necessity for an external filtering pipeline. Using a Kalman Filter is highly desirable when you’re doing something like vehicle tracking using both dead-reckoning and GPS coordinates, as it filters out noise that can be the result of e.g. GPS reception issues.
PySpecSDR is a Python-based Software Defined Radio (SDR) spectrum analyzer with real-time visualization, demodulation, and signal analysis capabilities.
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