\n
![\"Pre-transformation](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F557179%2F7c569e6e5dd1a9ea8e0a0e623e2cf39f%2FScreenshot%202023-10-18%20at%2011.24.15%20PM.png?generation=1697686050039648&alt=media\")
I am a complete newbie to signal processing, but one of the things I've really wanted to learn is how is the Fast Fourier Transformation. This competition seems like a perfect starting point! I explore the potential use of FFT on both enmo and anglez in my notebook: https://www.kaggle.com/jjinho/cmi-sleep-detection-fast-fourier-transformation.
Examples include:
\n
![\"Post-transformation](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F557179%2F3fb32f50883ec8d24550c26d387b2bf2%2FScreenshot%202023-10-18%20at%2011.24.39%20PM.png?generation=1697686078050433&alt=media\")
![\"Pre-transformation](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F557179%2F41361b97e4a2eed8252828cb8f745cd2%2FScreenshot%202023-10-18%20at%2011.24.26%20PM.png?generation=1697686095085181&alt=media\")
![\"Post-transformation](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F557179%2F60748874a7d42533f6040590d66fcd57%2FScreenshot%202023-10-18%20at%2011.24.59%20PM.png?generation=1697686110680025&alt=media\")
Next step is seeing how to automate the appropriate filter value for the power spectral density, and to see if the cleaned signals actually improve model performance.
\nIf you find this helpful, please upvote.
", "messages": [ { "id": "2488108", "postDate": "10/19/2023 03:31:54", "content": "I am a complete newbie to signal processing, but one of the things I've really wanted to learn is how is the Fast Fourier Transformation. This competition seems like a perfect starting point! I explore the potential use of FFT on both enmo and anglez in my notebook: https://www.kaggle.com/jjinho/cmi-sleep-detection-fast-fourier-transformation.
Examples include:
\n
Next step is seeing how to automate the appropriate filter value for the power spectral density, and to see if the cleaned signals actually improve model performance.
\nIf you find this helpful, please upvote.
", "rawMarkdown": "I am a complete newbie to signal processing, but one of the things I've really wanted to learn is how is the [Fast Fourier Transformation](https://en.wikipedia.org/wiki/Fast_Fourier_transform). This competition seems like a perfect starting point! I explore the potential use of FFT on both `enmo` and `anglez` in my notebook: https://www.kaggle.com/jjinho/cmi-sleep-detection-fast-fourier-transformation.\n\nExamples include:\n\n\n\n\n\n\n\n\nNext step is seeing how to automate the appropriate filter value for the power spectral density, and to see if the cleaned signals actually improve model performance.\n\nIf you find this helpful, **please upvote**.", "votes": null }, { "id": "2488199", "postDate": "10/19/2023 05:49:22", "content": "Upvoted @jjinho , it’s useful to employ FFT in this comp and construct a pipeline based on it.
", "rawMarkdown": "Upvoted @jjinho , it’s useful to employ FFT in this comp and construct a pipeline based on it.", "votes": null }, { "id": "2488679", "postDate": "10/19/2023 12:24:46", "content": "Thank you @liushundawang
", "rawMarkdown": "Thank you @liushundawang", "votes": null } ], "comments": [ { "id": 2488199, "author_name": "liushundawang", "author_url": "", "post_date": "10/19/2023 05:49:22", "content": "Upvoted @jjinho , it’s useful to employ FFT in this comp and construct a pipeline based on it.
", "votes": null, "replies": [ { "id": 2488679, "author_name": "jjinho", "author_url": "", "post_date": "10/19/2023 12:24:46", "content": "Thank you @liushundawang
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "2488108": "I am a complete newbie to signal processing, but one of the things I've really wanted to learn is how is the [Fast Fourier Transformation](https://en.wikipedia.org/wiki/Fast_Fourier_transform). This competition seems like a perfect starting point! I explore the potential use of FFT on both `enmo` and `anglez` in my notebook: https://www.kaggle.com/jjinho/cmi-sleep-detection-fast-fourier-transformation.\n\nExamples include:\n\n\n\n\n\n\n\n\nNext step is seeing how to automate the appropriate filter value for the power spectral density, and to see if the cleaned signals actually improve model performance.\n\nIf you find this helpful, **please upvote**.", "2488199": "Upvoted @jjinho , it’s useful to employ FFT in this comp and construct a pipeline based on it.", "2488679": "Thank you @liushundawang" }, "source": "meta" }