Skip to main content

Python implementation of Grouped Transforms

Project description

pyGroupedTransforms

Fast Grouped Transformations as introduced in Bartel, Potts, Schmischke, 2021 .

pyGroupedTransforms provides the following fast algorithms: nonequispaced fast transformation with exponential functions for grouped index sets based on the NFFT (non-equispaced fast Fourier transform) nonequispaced fast transformation with cosine functions for grouped index sets based on the NFCT (non-equispaced fast cosine transform)

Getting started

The pyGroupedTransforms package can be installed via pip:

pip install pyGroupedTransforms

Read the documentation for specific usage information.

Requirements

  • Python 3.8 or greater
  • pyNFFT3 0.2.2 or greater
  • NumPy 2.0.0 or greater
  • SciPy 1.16.0 or greater

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

pygroupedtransforms-0.3.4.tar.gz (34.0 kB view details)

Uploaded Source

Built Distribution

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

pygroupedtransforms-0.3.4-py3-none-any.whl (34.1 kB view details)

Uploaded Python 3

File details

Details for the file pygroupedtransforms-0.3.4.tar.gz.

File metadata

  • Download URL: pygroupedtransforms-0.3.4.tar.gz
  • Upload date:
  • Size: 34.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygroupedtransforms-0.3.4.tar.gz
Algorithm Hash digest
SHA256 4e8207726915b84af3131b44a3f014373c21291ef5e8cd6f29f1b3928c69e44a
MD5 464602b3c3071073555c6403527c454e
BLAKE2b-256 656252b68f0bea653b3437a45c42ef4ac2996fda9dda4022c79c7e63c64bc171

See more details on using hashes here.

Provenance

The following attestation bundles were made for pygroupedtransforms-0.3.4.tar.gz:

Publisher: release.yml on NFFT/pyGroupedTransforms

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pygroupedtransforms-0.3.4-py3-none-any.whl.

File metadata

File hashes

Hashes for pygroupedtransforms-0.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 c7ce0c55c3733a22e20f59c7d0e5607f872dad7ded49db04543e23d2771181f7
MD5 af12d5f9462b9b56d64cecd59537f889
BLAKE2b-256 b9d7f38fd5805cf7deb1b4ea4160767ceb872cc8678bf16cc014735a6d063a5c

See more details on using hashes here.

Provenance

The following attestation bundles were made for pygroupedtransforms-0.3.4-py3-none-any.whl:

Publisher: release.yml on NFFT/pyGroupedTransforms

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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