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Exports CoreEncoderStatefull, CoreDecoderStatefull, and FrameSyncNet weights to C source files (rade_enc_v2_data, rade_dec_v2_data, rade_sync_data) for use in the radae_nopy C port. Mirrors the rx2.py weight loading pattern: instantiate with w1_dec=w1_dec_stateful=128, filter mismatched checkpoint entries, then use core_encoder/decoder_statefull_load_state_dict() to copy weights from the trained CoreEncoder/Decoder into the stateful variants. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
stateful_encoder_v2.py: reference Python script that runs CoreEncoderStatefull and CoreDecoderStatefull one step at a time, matching C port behaviour. Uses bottleneck=0 and rx2.py weight-loading pattern. CMakeLists.txt: add radae_nopy_v2_enc and radae_nopy_v2_dec ctests. Rename existing V1 nopy ctests to radae_nopy_v1_* for clarity. Both V2 tests pass with loss 0.096 (enc: C enc -> Python dec, dec: Python enc -> C dec vs Python dec, delta 0.000). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Compares C radae_v2_tx IQ output against tx2.py reference. Checks data diff_rms/sig_rms < 3% and EOO max diff < 1e-4. Observed: 1.2% data diff (encoder float differences), 9e-6 EOO diff. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Tests the full C tx -> C rx pipeline at high SNR (no noise): lpcnet_demo features -> radae_v2_tx -> radae_v2_rx -> loss check. Loss threshold 0.2 (observed 0.083 noiseless). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Four new ctests (radae_nopy_v2_rx_awgn, radae_nopy_v2_rx_awgn_low, radae_nopy_v2_rx_mpp, radae_nopy_v2_rx_mpp_low) check that the C port of the V2 receiver (radae_v2_rx) achieves acceptable loss vs the reference features across AWGN and MPP channels at high and low SNR. Each test uses inference.sh to generate channel IQ, decodes with the C receiver, and checks the result with loss.py. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds three new ctests for the RADE V2 C receiver: - radae_nopy_v2_rx_eoo: EOO detection on MPP channel at EbNodB=8 - radae_nopy_v2_rx_snr_high: SNR estimator at high SNR (EbNodB=12, tol ±3.0 dB) - radae_nopy_v2_rx_snr_low: SNR estimator at low SNR (EbNodB=2, tol ±2.0 dB) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds guidance for contributors on test types, reproducibility requirements, and how to perform a software-only loss baseline test using tx2.py, rx2.py, and loss.py. Also improves the Stored File Tests section with clearer OTA vs simulated channel paths. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Note GitHub workflow tests run here will only test Python code, as that's the default. See https://github.com/drowe67/radae_nopy/tree/dr-radev2 for V2 C Port test results.