| Metadata-Version: 2.1 | |
| Name: PyWavelets | |
| Version: 1.4.1 | |
| Summary: PyWavelets, wavelet transform module | |
| Home-page: https://github.com/PyWavelets/pywt | |
| Download-URL: https://github.com/PyWavelets/pywt/releases | |
| Maintainer: The PyWavelets Developers | |
| Maintainer-email: pywavelets@googlegroups.com | |
| License: MIT | |
| Keywords: wavelets,wavelet transform,DWT,SWT,CWT,scientific | |
| Platform: Windows | |
| Platform: Linux | |
| Platform: Solaris | |
| Platform: Mac OS-X | |
| Platform: Unix | |
| Classifier: Development Status :: 5 - Production/Stable | |
| Classifier: Intended Audience :: Developers | |
| Classifier: Intended Audience :: Education | |
| Classifier: Intended Audience :: Science/Research | |
| Classifier: License :: OSI Approved :: MIT License | |
| Classifier: Operating System :: OS Independent | |
| Classifier: Programming Language :: C | |
| Classifier: Programming Language :: Python | |
| Classifier: Programming Language :: Python :: 3 | |
| Classifier: Programming Language :: Python :: 3.8 | |
| Classifier: Programming Language :: Python :: 3.9 | |
| Classifier: Programming Language :: Python :: 3.10 | |
| Classifier: Programming Language :: Python :: 3.11 | |
| Classifier: Topic :: Software Development :: Libraries :: Python Modules | |
| Requires-Python: >=3.8 | |
| License-File: LICENSE | |
| License-File: LICENSES_bundled.txt | |
| Requires-Dist: numpy (>=1.17.3) | |
| PyWavelets is a Python wavelet transforms module that includes: | |
| * nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT) | |
| * 1D and 2D Forward and Inverse Stationary Wavelet Transform (Undecimated Wavelet Transform) | |
| * 1D and 2D Wavelet Packet decomposition and reconstruction | |
| * 1D Continuous Wavelet Tranfsorm | |
| * Computing Approximations of wavelet and scaling functions | |
| * Over 100 built-in wavelet filters and support for custom wavelets | |
| * Single and double precision calculations | |
| * Real and complex calculations | |
| * Results compatible with Matlab Wavelet Toolbox (TM) | |