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A GPU-accelerated signal processing library.

Project description

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.

Project details


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