iir-hilbert-transformer
Infinite Impulse Response (IIR) Hilbert Transformer.
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (11.4%) to scientific vocabulary
Keywords
Repository
Infinite Impulse Response (IIR) Hilbert Transformer.
Basic Info
Statistics
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 2
Topics
Metadata Files
README.md
Python implementation of An Infinite Impulse Response (IIR) Hilbert Transformer
Hilbert transformers play a pivotal role in various signal processing applications, ranging from single-sideband communication systems to audio effects. The utilization of Infinite Impulse Response (IIR) implementations is particularly appealing due to their computational efficiency. This approach begins with the design of a half-band filter, illustrating how the pole locations evolve during the transformation process from a half-band filter to summed all-pass filters and ultimately to a Hilbert transformer filter.
This repo is exclusively based on the work of Harris and colleagues: (paper).
The class generates coefficients with or without frequency warping (sometimes required to improve filter behavior close to DC).
Required Software
- Python 3.8
- numpy==1.22.2
- matplotlib==3.7.3
- scipy==1.10.1
Installation
To clone this repo open your terminal and run:
git clone https://github.com/MattiaDif/IIR-Hilbert-Transformer.git
Then go into dsp/ folder and run:
./prj_init.py
to install required packages. It works for both Windows and Linux systems.
Repo description
Inside IIR-HIlbert-Transformer
- 'dsp' folder: it contains the IIRHilb.py file (inside hilbert folder) with the class implementation of the Hilbert transformer. The run.py script runs a filter design example.
- dsp/requirements.txt: txt file with the python packages required.
- dsp/prj_init.py file to download the required packages.
REFERENCE
If you use this repo, please cite:
"Di Florio, M. (2023). IIR-Hilbert-Transformer (Version 0.2) [Computer software]. https://github.com/MattiaDif/IIR-Hilbert-Transformer.git"
Note
To contribute refers to the dev branch!
Owner
- Name: Mattia Di Florio
- Login: MattiaDif
- Kind: user
- Location: Genoa
- Company: University of Genoa, Istituto Italiano di Tecnologia
- Twitter: difloriomattia
- Repositories: 1
- Profile: https://github.com/MattiaDif
PhD student in Bioengineering at University of Genoa.
Citation (CITATION.cff)
cff-version: 1.0.0 message: "If you use this software, please cite it as below." authors: - family-names: "Di Florio" given-names: "Mattia" title: "IIR-Hilbert-Transformer" version: 0.2 date-released: 19/12/2023 url: "https://github.com/MattiaDif/IIR-Hilbert-Transformer.git"
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Dependencies
- matplotlib ==3.7.3
- numpy ==1.22.2
- scipy ==1.10.1