RFISLer

RFISLer is a fictional open-source software framework intended for radio-frequency signal analysis and spectrum monitoring. It provides tools to acquire, process, and visualize RF data and supports both real-time streaming and offline analysis. The project emphasizes modularity, extensibility, and cross-platform usability, making it useful for researchers, educators, and hobbyists.

Core features include a data abstraction layer for complex IQ samples, a processing pipeline that can be composed from filters, demodulators, estimators, and detectors, a plugin system that allows third-party algorithms to be integrated into a workflow, and a graphical user interface for inspection, plotting, and debugging. RFISLer supports common SDR hardware interfaces and standard baseband data formats, as well as basic spectrum visualization such as spectrograms, time series, and power spectral density plots.

Architecture and design emphasize lightweight, high-throughput operation with a decoupled core and plug-ins. It provides an API for extensions and a concurrency model that enables real-time processing on multi-core systems. The reference implementation is described as cross-platform and aimed at compatibility with Python and C++ development environments.

In typical use, RFISLer enables users to capture RF signals from SDR devices, apply filtering and synchronization, perform spectral estimation and signal detection, and visualize results for analysis or education. In the fictional narrative, RFISLer serves as a community project illustrating modular signal-processing workflows and provides a baseline for experimentation with RF data.

Related topics include software-defined radio, spectrum analysis, and modular signal-processing frameworks such as GNU Radio.