Metadata-Version: 1.1
Name: PyGASP
Version: 0.1
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: This project contains several transformations used for signal processing, along with associated tools.
        
        Transformations
        
        As of v1.1, the included transformations are: discrete wavelet transform (dwt), discrete cosine transform (dct), and discrete wavelet transform (dwt).
        
        GPU-Acceleration
        
        Each of these transformations has both a sequential and a GPU-acclerated version.  It is recommended to use the GPU-accelerated version if you have a CUDA-capable GPU on your computer. To do so, you would simply import "[transformation_name]Cuda" instead of 'transformation_name".  For example, you might use
        
        import dwtCuda as dwt
        
        instead of using
        
        import 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 v1.1, 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.
        
        Contact
        
        Please email "bowmanat AT mail DOT gvsu DOT edu" with any questions or comments.
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
