Skip to main content

Signal processing tool to detect the maximum energy threshold of one or more audio files

Project description

Energy above a certain threshold may be lost due to compression manipulations (typically occurs when converting wav to mp3 to wav). This loss can be easily identified for a given sampling rate by examining the maximum frequency obtained for a percentage of the signal energy.

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

bandwidthestimation-0.1.0.tar.gz (2.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bandwidthestimation-0.1.0-py3-none-any.whl (3.0 kB view details)

Uploaded Python 3

File details

Details for the file bandwidthestimation-0.1.0.tar.gz.

File metadata

  • Download URL: bandwidthestimation-0.1.0.tar.gz
  • Upload date:
  • Size: 2.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for bandwidthestimation-0.1.0.tar.gz
Algorithm Hash digest
SHA256 beafbe0055152708180ce5c522cfc697065ebb0efd6d1873827e6787969e9c48
MD5 8b425bd8b99d0f7089f6359a975cbb96
BLAKE2b-256 2e4aad7cbdf538cd028be6e2a956c79430b5fcfed106ad148677919d3ae1f59e

See more details on using hashes here.

File details

Details for the file bandwidthestimation-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for bandwidthestimation-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2a4554a9ea5527d8d2b6206e2c31c51b1abf39c3e8f471f5838144e73a3507b6
MD5 6addf49da6c94d1e61496bc14d1a64dd
BLAKE2b-256 feaadba859c6a98d3e1e28ca66011d3801ec7eb4571f48bb0b26087a9920c2ac

See more details on using hashes here.

Supported by

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