Skip to main content

SPHARA Implementation in Python

Project description

Sphara Implementation in Python

SpharaPy is a Python implementation of the new approach for spatial harmonic analysis (SPHARA) that extends the classical spatial Fourier analysis to non-uniformly positioned samples on an arbitrary surface in R^3, see also [graichen2015]. The basis functions used by SPHARA are determined by eigenanalysis of the discrete Laplace-Beltrami operator defined on a triangular mesh specified by the spatial sampling points. The Python toolbox SpharaPy provides classes and functions to determine the SPHARA basis functions, to perform data analysis and synthesis (SPHARA transform) as well as classes to design spatial filters using the SPHARA basis.

Requirements and installation

Required software and packages:

  • python3 (>=3.6)
  • numpy (>=1.16.1)
  • scipy (>=1.2.0)
  • matplotlib (>=3.0.2)

To install, simply use: pip3 install spharapy

Examples and Usage

Minimal examples are contained in the source code of the package. For more detailed examples please have a look at the tutorials.

Project details

Download files

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

Files for SpharaPy, version 1.1.0
Filename, size File type Python version Upload date Hashes
Filename, size SpharaPy-1.1.0-py3-none-any.whl (7.9 MB) File type Wheel Python version py3 Upload date Hashes View
Filename, size SpharaPy-1.1.0.tar.gz (7.9 MB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page