Metadata-Version: 2.0
Name: PyGASP
Version: 0.2.1
Summary: A GPU-accelerated signal processing library.
Home-page: http://packages.python.org/PyGASP
Author: Erin Carrier, Nathan Bowman
Author-email: bowmanat@mail.gvsu.edu
License: MIT
Description-Content-Type: UNKNOWN
Keywords: signal processing,science,PyCUDA,DWT,FFT,DCT
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering

This project contains several transformations used for signal processing,
along with associated tools.

**Transformations**

As of v0.2, the included transformations are: discrete Fourier transform (dft),
discrete cosine transform (dct), and discrete wavelet transform (dwt).

**GPU-Acceleration**

Each of these transformations has both a sequential and a GPU-acclerated
version. To use the GPU-accelerated version, you would simply import
"[transformation_name]Cuda" instead of 'transformation_name".  For example,
you might use

import pygasp.dwtCuda as dwt

instead of using

import pygasp.dwt as dwt

to get the CUDA version of the dwt.  

*NOTE*: To use the CUDA versions, you must have a CUDA-capable GPU and have
installed the PyCUDA library. Information on this library can be found
at: mathema.tician.de/software/pycuda .

**Tools**

As of v0.2, the tools include:
	* high-, low-, and bandpass filters for the fft
	* hard and soft thresholding for the dwt
	* scalogram visualization of the dwt

**License**

This library is free and open-source software released under the MIT License.
The source code is available at https://bitbucket.org/bowmanat/pygasp .

**Contact**

Please email "bowmanat AT mail DOT gvsu DOT edu" with any questions or
comments.