{
  "annotation_id": "10e42590-d9b6-490a-b685-bbac2d1b443c",
  "date_created": "2026-03-02T18:00:50.273000Z",
  "date_modified": "2026-03-02T18:00:50.273000Z",
  "file_hash": "46d030afa759ed9e75ab2eeb15fbe7944b01621b19ca308c8fba8b43f7362556",
  "private": false,
  "record": {
    "abstract": "Filtering of digital signals is accomplished on an Excel spreadsheet using\nfast Fourier transform (FFT) convolution in which the kernel is either a\nGaussian or a cosine modulated Gaussian. Pedagogical examples of low-pass and\nband-pass filtering are provided, and the practical value of the spreadsheet is\nillustrated with some cases involving an earthquake record generated by a\nfolded pendulum seismometer.",
    "arxiv_id": "physics/0406087",
    "authors": [
      "Randall D. Peters"
    ],
    "categories": [
      "physics.gen-ph"
    ],
    "title": "Spreadsheet Filtering by FFT Gaussian-based Convolution",
    "url": "https://arxiv.org/abs/physics/0406087"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "b4b08e96-5a60-4d18-94d4-3a1ad59b5fb8",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}