preprocessing.json

{
  "sampling_rate_hz": 100,
  "component_order": "ZNE",
  "tensor_layout": "batch, component, sample",
  "dtype": "float32",
  "reference_window_samples": 3001,
  "normalization": "per-component demean, divide by population std + 1e-10",
  "zero_std": "replace zero std by 1 before division",
  "missing_components": "Legacy training randomly copies a present component into missing channels. Supply complete components for deterministic inference; no filling is performed by the loader or encode()."
}