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        "author": "Erin Carrier, Nathan Bowman",
        "author_email": "bowmanat@mail.gvsu.edu",
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            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: MIT License",
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            "Topic :: Utilities"
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        "description": "This project contains several transformations used for signal processing,\nalong with associated tools.\n\n**Transformations**\n\nAs of v0.2, the included transformations are: discrete Fourier transform (dft),\ndiscrete cosine transform (dct), and discrete wavelet transform (dwt).\n\n**GPU-Acceleration**\n\nEach of these transformations has both a sequential and a GPU-acclerated\nversion. To use the GPU-accelerated version, you would simply import\n\"[transformation_name]Cuda\" instead of 'transformation_name\".  For example,\nyou might use\n\nimport pygasp.dwtCuda as dwt\n\ninstead of using\n\nimport pygasp.dwt as dwt\n\nto get the CUDA version of the dwt.  \n\n*NOTE*: To use the CUDA versions, you must have a CUDA-capable GPU and have\ninstalled the PyCUDA library. Information on this library can be found\nat: mathema.tician.de/software/pycuda .\n\n**Tools**\n\nAs of v0.2, the tools include:\n\t* high-, low-, and bandpass filters for the fft\n\t* hard and soft thresholding for the dwt\n\t* scalogram visualization of the dwt\n\n**License**\n\nThis library is free and open-source software released under the MIT License.\nThe source code is available at https://bitbucket.org/bowmanat/pygasp .\n\n**Contact**\n\nPlease email \"bowmanat AT mail DOT gvsu DOT edu\" with any questions or\ncomments.\n\n\n",
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