{
  "id": 80612,
  "title": "Wavelet Transform in a Simulated Seismic Data.",
  "url": "/competitions/LANL-Earthquake-Prediction/discussion/80612",
  "author_name": "Guilherme Havryluk",
  "post_date": "2019-02-14T20:04:47.731000",
  "votes": 4,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Applying Wavelet Transfromic techniques with Compressive Sensing methods in a Statistical Analysis of these Simulated Earthquake Data may be very interesting for the Project.\nhis is an example of the application of a Walvelet Transform in seismic trait, with 1501 decomposed points into 6 scales (dec1, dec2, dec3, dec4, dec5 and dec6). The signal res6, represents what is left of the Wavelet Transform:</p>",
  "messages": [
    {
      "id": 471719,
      "postDate": "2019-02-14T20:04:47.730Z",
      "content": "<p>Applying Wavelet Transfromic techniques with Compressive Sensing methods in a Statistical Analysis of these Simulated Earthquake Data may be very interesting for the Project.\nhis is an example of the application of a Walvelet Transform in seismic trait, with 1501 decomposed points into 6 scales (dec1, dec2, dec3, dec4, dec5 and dec6). The signal res6, represents what is left of the Wavelet Transform:</p>",
      "rawMarkdown": "Applying Wavelet Transfromic techniques with Compressive Sensing methods in a Statistical Analysis of these Simulated Earthquake Data may be very interesting for the Project.\nhis is an example of the application of a Walvelet Transform in seismic trait, with 1501 decomposed points into 6 scales (dec1, dec2, dec3, dec4, dec5 and dec6). The signal res6, represents what is left of the Wavelet Transform:\n",
      "votes": 4
    },
    {
      "id": 471736,
      "postDate": "2019-02-14T20:27:51.917Z",
      "content": "<p>Thanks Guilherme. Here are some further very important data points regarding your analysis: <a href=\"https://www.youtube.com/watch?v=o1eHKf-dMwo\">https://www.youtube.com/watch?v=o1eHKf-dMwo</a></p>",
      "rawMarkdown": "Thanks Guilherme. Here are some further very important data points regarding your analysis: https://www.youtube.com/watch?v=o1eHKf-dMwo",
      "replies": [
        {
          "id": 471754,
          "postDate": "2019-02-14T20:51:55.140Z",
          "content": "<p>I have not developed any analysis, I am showing the result of one performed with a method known as Wavelet Transform (do you know it?). It allows the decomposition of seismic signals, which can be applied to simulated data, and then reconstruct a seismic signal using the coefficients of the scales mentioned separately. This is a form that can be very inerrant when analyzing and processing seismic data to arrive at a predictive model of possible earthquakes.</p>",
          "rawMarkdown": "I have not developed any analysis, I am showing the result of one performed with a method known as Wavelet Transform (do you know it?). It allows the decomposition of seismic signals, which can be applied to simulated data, and then reconstruct a seismic signal using the coefficients of the scales mentioned separately. This is a form that can be very inerrant when analyzing and processing seismic data to arrive at a predictive model of possible earthquakes."
        }
      ]
    },
    {
      "id": 471874,
      "postDate": "2019-02-15T02:47:20.637Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 471736,
      "author_name": "Daniel Gerigk",
      "author_url": "",
      "post_date": "2019-02-14T20:27:51.917000",
      "content": "<p>Thanks Guilherme. Here are some further very important data points regarding your analysis: <a href=\"https://www.youtube.com/watch?v=o1eHKf-dMwo\">https://www.youtube.com/watch?v=o1eHKf-dMwo</a></p>",
      "votes": 0,
      "replies": [
        {
          "id": 471754,
          "author_name": "Guilherme Havryluk",
          "author_url": "",
          "post_date": "2019-02-14T20:51:55.140000",
          "content": "<p>I have not developed any analysis, I am showing the result of one performed with a method known as Wavelet Transform (do you know it?). It allows the decomposition of seismic signals, which can be applied to simulated data, and then reconstruct a seismic signal using the coefficients of the scales mentioned separately. This is a form that can be very inerrant when analyzing and processing seismic data to arrive at a predictive model of possible earthquakes.</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 471874,
      "author_name": "",
      "author_url": "",
      "post_date": "2019-02-15T02:47:20.637000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "471719": "Applying Wavelet Transfromic techniques with Compressive Sensing methods in a Statistical Analysis of these Simulated Earthquake Data may be very interesting for the Project.\nhis is an example of the application of a Walvelet Transform in seismic trait, with 1501 decomposed points into 6 scales (dec1, dec2, dec3, dec4, dec5 and dec6). The signal res6, represents what is left of the Wavelet Transform:\n",
    "471736": "Thanks Guilherme. Here are some further very important data points regarding your analysis: https://www.youtube.com/watch?v=o1eHKf-dMwo",
    "471874": ""
  }
}