Gap analysis in the time-frequency domain

This study looks at how gaps in the LISA dataset can be handled in the frequency and wavelet domains.

pip install -e .
cd study/Wavelet_Domain/nan_method/
python mcmc.py

Development Status
- 3 - Alpha
Intended Audience
- Science/Research
License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python :: 3.8

Metadata

Development Status
- 3 - Alpha
Intended Audience
- Science/Research
License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python :: 3.8

Release files for pywavelet.case-studies.gaps 0.1.4

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Source distribution for pywavelet.case-studies.gaps 0.1.4
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pywavelet_case_studies_gaps-0.1.4.tar.gz	190.0 kB	Jan 20, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for pywavelet.case-studies.gaps 0.1.4
File	Interpreter	ABI	Platform	Reset
pywavelet.case_studies.gaps-0.1.4-py3-none-any.whl 30.3 kB Jan 20, 2025	Python 3	none	any	Details

Total release size: 220.4 kB

Release files / pywavelet_case_studies_gaps-0.1.4.tar.gz

Download URL	pywavelet_case_studies_gaps-0.1.4.tar.gz
Size	190.0 kB
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Uploaded via	`twine/6.0.1 CPython/3.12.8`

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Release files / pywavelet.case_studies.gaps-0.1.4-py3-none-any.whl

Download URL	pywavelet.case_studies.gaps-0.1.4-py3-none-any.whl
Size	30.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`71dfe2f2a7a91fe0c073458f84090c7b3aed32d3e9c373d7936534774d9a7843`
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Upload date	Jan 20, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.0.1 CPython/3.12.8`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pywavelet/case_studies.gaps
Publishing commit: github.com/pywavelet/case_studies.gaps/tree/08ad07eec587f19fffa93bbfc2f37711505e181b

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Publishing configuration: github.com/pywavelet/case_studies.gaps/blob/08ad07eec587f19fffa93bbfc2f37711505e181b/.github/workflows/pypi.yml
Publishing logs: github.com/pywavelet/case_studies.gaps/actions/runs/12876154944/attempts/1

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Subject: pywavelet_case_studies_gaps-0.1.4-py3-none-any.whl
SHA-256 checksum: 71dfe2f2a7a91fe0c073458f84090c7b3aed32d3e9c373d7936534774d9a7843 Verifying attestations