{
  "id": 480602,
  "title": "STFT vs Wavelet",
  "url": "/competitions/hms-harmful-brain-activity-classification/discussion/480602",
  "author_name": "Go ByeongGeon",
  "post_date": "2024-02-29T09:10:59.561000",
  "votes": 4,
  "comment_count": 0,
  "views": 0,
  "content": "<p>In this competition, I believe that leveraging variant images extracted from signals is crucial. Typically, STFT and Wavelet transforms are employed for signal representation.</p>\n<p>STFT proves effective in elucidating the frequency components of the original signal. On the other hand, Wavelet transforms excel in identifying specific waveforms due to their convolution using diverse basis functions.</p>\n<p>I am curious to hear your thoughts on this matter. Which transformation method do you consider optimal for this competition? Kindly share your experiences and results. Thank you!</p>",
  "messages": [
    {
      "id": 2674337,
      "postDate": "2024-02-29T09:10:59.560Z",
      "content": "<p>In this competition, I believe that leveraging variant images extracted from signals is crucial. Typically, STFT and Wavelet transforms are employed for signal representation.</p>\n<p>STFT proves effective in elucidating the frequency components of the original signal. On the other hand, Wavelet transforms excel in identifying specific waveforms due to their convolution using diverse basis functions.</p>\n<p>I am curious to hear your thoughts on this matter. Which transformation method do you consider optimal for this competition? Kindly share your experiences and results. Thank you!</p>",
      "rawMarkdown": "In this competition, I believe that leveraging variant images extracted from signals is crucial. Typically, STFT and Wavelet transforms are employed for signal representation.\n\nSTFT proves effective in elucidating the frequency components of the original signal. On the other hand, Wavelet transforms excel in identifying specific waveforms due to their convolution using diverse basis functions.\n\nI am curious to hear your thoughts on this matter. Which transformation method do you consider optimal for this competition? Kindly share your experiences and results. Thank you!",
      "votes": 4
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2674337": "In this competition, I believe that leveraging variant images extracted from signals is crucial. Typically, STFT and Wavelet transforms are employed for signal representation.\n\nSTFT proves effective in elucidating the frequency components of the original signal. On the other hand, Wavelet transforms excel in identifying specific waveforms due to their convolution using diverse basis functions.\n\nI am curious to hear your thoughts on this matter. Which transformation method do you consider optimal for this competition? Kindly share your experiences and results. Thank you!"
  }
}