SDR Basics Class

### Foundations of Software-Defined Radio and DSP At 00:00, SDR pioneer Balint Seeber delivers an intensive technical masterclass exploring digital signal processing (DSP) principles and practical Software-Defined Radio workflows.

### Sampling Rates, Nyquist Limits, and I/Q Data Streams At 11:00, Seeber breaks down the mathematical foundations of RF capture. He explains complex baseband I/Q sampling, the Nyquist-Shannon sampling theorem, and strategies for managing high-bandwidth data streams (50+ MSPS) using RAM disks to prevent packet loss.

### Building GNU Radio Flowgraphs At 22:00, the instructor demonstrates building modular flowgraphs in GNU Radio Companion. He walks through integrating SDR source blocks, configuring finite impulse response (FIR) low-pass filters, and implementing frequency translators to extract individual channel audio from wideband RF recordings.

### Doppler Correction and Dynamic Calibration At 33:01, Seeber examines advanced signal correction scripts. He illustrates using custom tools to correct phase offsets, compensate for oscillator frequency drift in inexpensive SDR dongles, and automate Doppler shift tracking for orbiting satellite passes.

### Real-Time Flowgraph Control via XML-RPC Concluding between 44:00 and 55:02, Seeber showcases dynamic control architectures. By embedding XML-RPC server interfaces into GNU Radio flowgraphs, external Python scripts and web applications can dynamically retune frequencies, adjust filter bandwidths, and capture frames over network sockets in real time.

(AI summary — Gemini Flash)