Skip to main content

Collection of dsp algorithms to be used for analysis of audio signals

Project description

docs/logo/logo.png
Documentation Status License Python version PyPI version

Readme

This is a toolbox in form of a python package that contains algorithms to be used in dsp (digital signal processing) projects.

This project is under active development and it will take some time until it reaches a certain level of maturity. Beware that backwards compatibility is not an actual concern and important changes to the API might come in the future. If you find some implementations interesting or useful, please feel free to use it for your projects and expand or change functionalities.

Getting Started

Check out the examples for some basic examples of the dsptoolbox package and refer to the documentation for the complete description of classes and functions.

Installation

Use pip to install dsptoolbox

$ pip install dsptoolbox

(Requires Python 3.10 or higher)

In order to install the package successfully using Linux, you need to install PortAudio manually, since installing sounddevice will not do it automatically. To do this, run the following commands on your console:

$ sudo apt-get install libasound-dev libportaudio2 libsndfile1

If this does not work properly for some reason, refer to the documentation for sounddevice or PortAudio.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dsptoolbox-0.2.1.tar.gz (2.4 MB view details)

Uploaded Source

Built Distribution

dsptoolbox-0.2.1-py3-none-any.whl (120.9 kB view details)

Uploaded Python 3

File details

Details for the file dsptoolbox-0.2.1.tar.gz.

File metadata

  • Download URL: dsptoolbox-0.2.1.tar.gz
  • Upload date:
  • Size: 2.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for dsptoolbox-0.2.1.tar.gz
Algorithm Hash digest
SHA256 b64acd76f119b610f4fdbeed484c284d5aae871b6c580bb69206cf9a915c7703
MD5 f5145b3f18c6fa0fc19000042718881c
BLAKE2b-256 8ab2ab207e3e02f176268099f2380314d664fee8d8f9c93866ab66a45fd30e0f

See more details on using hashes here.

File details

Details for the file dsptoolbox-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: dsptoolbox-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 120.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for dsptoolbox-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 42ce19afa759327f9a331666671d8a02e5fb047b3971c8256110dcbcba88e5a8
MD5 b4c2b96d2046afcebe4deb0ad87c1efa
BLAKE2b-256 51276f0a095be9891288ddeecd6978ebbc6f64bc1e3448eaeb9a119f2e2c5719

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page