SETI signal intelligence framework for narrowband technosignature detection. It fuses high-dimensional spectro-temporal features (FFT, CWT, autocorrelation, DM), Bayesian ensemble anomaly detection, and conformal prediction in non-stationary RFI. Full DSP chain with Doppler compensation, pulsar folding & prime-sequence decoding.
machine-learning signal-processing radio-astronomy anomaly-detection seti radio-signal-classification astrophysics-ml cnn-spectrogram
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Updated
Jul 23, 2026 - Python