sdr¶

The sdr library is a Python 3 package for software-defined radio (SDR).

The goal of sdr is to provide tools to design, build, and analyze digital communications systems in Python. The library relies on and is designed to be interoperable with NumPy, SciPy, and Matplotlib. Performance is also very important. So, where possible, Numba is used to accelerate computationally intensive functions.

Additionally, the library aims to replicate relevant functionality from Matlab’s Communications and DSP Toolboxes.

We are progressively adding functionality to the library. If there is something you’d like to see included in sdr, please open an issue on GitHub.

Features¶

• Filters: sdr.FIR, sdr.IIR

• Pulse shapes: sdr.raised_cosine(), sdr.root_raised_cosine(), sdr.gaussian()

• Arbitrary resamplers: sdr.FarrowResampler

• Phase-locked loops: sdr.NCO, sdr.DDS, sdr.LoopFilter, sdr.ClosedLoopPLL

• Measurement: sdr.papr(), sdr.crest_factor()

• Data manipulation: sdr.pack(), sdr.unpack(), sdr.hexdump()

• Plotting utilities: sdr.plot.time_domain(), sdr.plot.periodogram(), sdr.plot.spectrogram() sdr.plot.filter(), sdr.plot.frequency_response(), sdr.plot.group_delay(), sdr.plot.impulse_response(), sdr.plot.step_response(), sdr.plot.zeros_poles()