resampy


Nameresampy JSON
Version 0.4.3 PyPI version JSON
download
home_pagehttps://github.com/bmcfee/resampy
SummaryEfficient signal resampling
upload_time2024-03-05 20:36:08
maintainer
docs_urlNone
authorBrian McFee
requires_python
licenseISC
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI
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            # resampy
[![GitHub license](https://img.shields.io/badge/license-ISC-blue.svg)](https://raw.githubusercontent.com/bmcfee/resampy/master/LICENSE)
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[![Anaconda-Server Badge](https://anaconda.org/conda-forge/resampy/badges/version.svg)](https://anaconda.org/conda-forge/resampy)
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[![codecov](https://codecov.io/gh/bmcfee/resampy/branch/main/graph/badge.svg?token=o6a0xO89rz)](https://codecov.io/gh/bmcfee/resampy)
[![Documentation Status](https://readthedocs.org/projects/resampy/badge/?version=stable)](https://resampy.readthedocs.io/en/stable/?badge=stable)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.596633.svg)](https://doi.org/10.5281/zenodo.596633)

Efficient sample rate conversion in Python.

This package implements the band-limited sinc interpolation method for sampling rate conversion as described by:
> Smith, Julius O. Digital Audio Resampling Home Page
> Center for Computer Research in Music and Acoustics (CCRMA), 
> Stanford University, 2015-02-23.
> Web published at [http://ccrma.stanford.edu/~jos/resample/](http://ccrma.stanford.edu/~jos/resample/).


# Installation

`resampy` can be installed `pip` by the following command:
```
python -m pip install resampy
```

It can also be installed by `conda` as follows:
```
conda install -c conda-forge resampy
```

            

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