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A zero dependency Python ITU-R 468 noise weighting filter (1 kHz and 2 kHz)

Project description

itu-r-468-weighting

A zero dependency Python ITU-R 468 noise weighting filter (1 kHz and 2 kHz)

Master branch: Build Status Coverage Status
Dev branch: Build Status Coverage Status

Introduction

This project consists of a sole function named r468. The function takes a frequency value and returns a weighted gain value. For weightening, the ITU-R BS.468-4 standard and the SMPTE RP 2054:2010 recommended practice are followed. The returned gain value is implicitly returned as a weighted gain value in dB, but can explicitly be returned as a weighted gain factor.

The math for this project is taken from Wikipedia (as of 2019-08-08):

Plot of filter in frequency|gain (in dB) domain:

Plot of filter in frequency|gain domain:

Installation

pip install itu-r-468-weighting

More infos on the project page at PyPI.

Example Usage

from itu_r_468_weighting.filter import r468

r468(1000, "1khz")          # returns gain in dB
r468(1000, "2khz")          # returns gain in dB
r468(1000, "1khz", "db")    # returns gain in dB
r468(1000, "2khz", "db")    # returns gain in dB
r468(1000, "1khz", "norm")  # returns gain factor
r468(1000, "2khz", "norm")  # returns gain factor

Function Description

See docstring in function r468 for further description.

Developement

This project is hosted on GitHub.

Project details


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itu-r-468-weighting-1.1.1.tar.gz (4.0 kB view hashes)

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itu_r_468_weighting-1.1.1-py3-none-any.whl (5.6 kB view hashes)

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