Benchmark results
These results were obtained by running a batch of test MPX recordings through redsea at a real-time speed on different platforms.
| Computer | CPU | Redsea version | % CPU |
|---|---|---|---|
| Raspberry Pi | 700 MHz ARMv6 | 0.17.0 | 40–45 % |
| Raspberry Pi 3B | ARMv7 | 1.0-SNAPSHOT | 11 % |
| 2013 Macbook Pro | 2.8 GHz i7 | 0.17.0 | 0.6 % |
| 2021 Macbook Pro | M1 Pro | 1.0-SNAPSHOT | 1.1 % |
We measured how redsea 1.0-SNAPSHOT does under noisy conditions on different platforms:
- took a recording of a clean MPX and added varying amounts of white rand() noise to it.
- calculated the power coming through the narrow-band RDS shaping filter (signal + noise) and compared it with another filter running 5 kHz higher (noise only).
- calculated the signal-to-noise ratio estimate as SNR_dB = 10log10((P_signal_plus_noise - P_noise_only) / P_noise_only).
Here, the percentage of correct syndromes received (before error correction) is plotted against the subcarrier's SNR estimate.
Platform-dependent differences can already be seen in downmixing results from liquid-dsp. This could be due to --fast-math that liquid-dsp enables by default on some platforms like armv7.
See Error detection and correction for more discussion and measurements.