{
  "id": "1302.1461",
  "version": "v1",
  "published": "2013-02-06T18:14:34.000Z",
  "updated": "2013-02-06T18:14:34.000Z",
  "title": "Stopping Criteria for Iterative Decoding based on Mutual Information",
  "authors": [
    "Jinhong Wu",
    "Branimir R. Vojcic",
    "Jia Sheng"
  ],
  "comment": "The Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, Nov., 2012",
  "categories": [
    "cs.IT",
    "math.IT"
  ],
  "abstract": "In this paper we investigate stopping criteria for iterative decoding from a mutual information perspective. We introduce new iteration stopping rules based on an approximation of the mutual information between encoded bits and decoder soft output. The first type stopping rule sets a threshold value directly on the approximated mutual information for terminating decoding. The threshold can be adjusted according to the expected bit error rate. The second one adopts a strategy similar to that of the well known cross-entropy stopping rule by applying a fixed threshold on the ratio of a simple metric obtained after each iteration over that of the first iteration. Compared with several well known stopping rules, the new methods achieve higher efficiency.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2013-02-06T18:14:34.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "mutual information",
      "stopping criteria",
      "iterative decoding",
      "methods achieve higher efficiency",
      "first type stopping rule sets"
    ],
    "tags": [
      "conference paper"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2013arXiv1302.1461W"
    }
  }
}