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[DOC] Justification of Choosing Hop Size and Window Size #50

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opened 2025-04-25 11:26:57 +00:00 by nuluh · 2 comments
nuluh commented 2025-04-25 11:26:57 +00:00 (Migrated from github.com)
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Documentation Type

Thesis Chapter/Section

Description

  • Need defensive explanation of what is the consideration of choosing window size = 1024 and 512 hop size.
  • Why use Hann windowing

Current State

Currently only adopting from previous research without further defensive explanation

Proposed Changes

Find some references that might explain the effectiveness with such number or maybe the situational numbers based on its dataset description or test bed setup.

Documentation Location

docs/

Priority

Critical (required for thesis)

Target Audience

Thesis Committee/Reviewers

References

No response

Additional Notes

Asked by professor directly

### Documentation Type Thesis Chapter/Section ### Description - Need defensive explanation of what is the consideration of choosing window size = 1024 and 512 hop size. - Why use Hann windowing ### Current State Currently only adopting from previous research without further defensive explanation ### Proposed Changes Find some references that might explain the effectiveness with such number or maybe the situational numbers based on its dataset description or test bed setup. ### Documentation Location docs/ ### Priority Critical (required for thesis) ### Target Audience Thesis Committee/Reviewers ### References _No response_ ### Additional Notes Asked by professor directly
nuluh commented 2025-05-06 05:43:11 +00:00 (Migrated from github.com)
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I think hop size and window size is choosen according to 256 seconds long data is to achieve balanced sample with the frequency bins (513) that resulting shape 513 x 513 which is considered good. However it seems the author didnt explicitly tell why they choose these numbers in the paper

I think hop size and window size is choosen according to 256 seconds long data is to achieve balanced sample with the frequency bins (513) that resulting shape 513 x 513 which is considered good. However it seems the author didnt explicitly tell why they choose these numbers in [the paper](https://doi.org/10.3390/s22031210)
nuluh commented 2025-05-06 05:48:31 +00:00 (Migrated from github.com)
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Another workaround maybe to defend why balanced data for all class is considered good.

Another workaround maybe to defend why balanced data for all class is considered good.
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Reference: nuluh/thesis#50
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