{
  "annotation_id": "7a344aee-ff38-4a47-b653-2d282cf5e2b5",
  "date_created": "2026-03-02T18:00:43.256000Z",
  "date_modified": "2026-03-02T18:00:43.256000Z",
  "file_hash": "38df2bcc566fe46dfda2c117d43864c83ebf566349aeca385fc970f7efccd254",
  "private": false,
  "record": {
    "abstract": "We present the G-MAPLE (Generalised Modal Analysis from the Poles of the\nLaplace Expansion) software that allows decomposing data depending on a single\nparameter (such as time series data) into a set of exponential functions having\ncomplex amplitudes and arguments. The novelty is that G-MAPLE determines the\nunknown number of exponentials in the data along with the corresponding complex\namplitudes and arguments.",
    "arxiv_id": "physics/0304107",
    "authors": [
      "C. Tannous"
    ],
    "categories": [
      "physics.data-an",
      "physics.comp-ph"
    ],
    "title": "Generalised Modal Analysis with the Pad\\\u0027e-Laplace transform",
    "url": "https://arxiv.org/abs/physics/0304107"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "d45dc27d-e168-40d5-84ac-bdfe2f8e3a3e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}