Science Score: 57.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 6 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (4.5%) to scientific vocabulary
Last synced: 9 months ago
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Repository
Frequency Domain Least Squares filter design method.
Basic Info
- Host: GitHub
- Owner: SiggiGue
- License: mpl-2.0
- Language: Python
- Default Branch: master
- Size: 12.7 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
License
Citation
README.md
FIR and IIR filter design with the Frequency Domain Least Squares method
This project implements the Frequency Domain Least Squares (FDLS) Method as a reusable python package.
References
G. Berchin: "Precise Filter Design [DSP Tips & Tricks]," in IEEE Signal Processing Magazine, vol. 24, no. 1, pp. 137-139, Jan. 2007, DOI: 10.1109/MSP.2007.273077.
Michael A. Soderstrand, Gregory Berchin & Randy S. Roberts: "Frequency domain least-squares system identification", international journal of electronics, 78:1, 25-35, 1995, DOI: 10.1080/00207219508926137
Owner
- Name: Siegfried Gündert
- Login: SiggiGue
- Kind: user
- Repositories: 14
- Profile: https://github.com/SiggiGue
Citation (CITATION.CFF)
cff-version: 1.2.0
title: fdls
version: 0.1.0
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Siegfried
family-names: Gündert
email: siegfried.guendert@gmail.com
repository-code: 'https://github.com/SiggiGue/fdls'
abstract: >-
FDLS implements the Frequency Domain Least Squares filter design method
based on Soderstrand (1995) and Berchin (2007) as reusable python package.
license: MPL-2.0
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Dependencies
docs/requirements.txt
pypi
- matplotlib *
- numpy *
- numpydoc *
- scipy *
- sphinx-autodoc-typehints *
- sphinx-rtd-theme *
pyproject.toml
pypi
- pylint ^2.3 develop
- pytest ^4.6 develop
- pytest-assume ^1.2 develop
- pytest-cov ^2.7 develop
- sphinx =1.8 develop
- sphinx-rtd-theme ^0.4.3 develop
- numpy ^1.16
- python ^3.7
- scipy ^1.3
setup.py
pypi