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This library is a 'spin-off' of C++ Noise Analysis Package (NAP) written together with Giancarlo Cella ([email protected])
The core library is written in C++ and should be compiled before using the python interface.
The Python interface to the library is pyTSA (you can call it pi'za)
p4TSA is a minimal package containing ad hoc function to work with time series. It includes
- Whitening in time domain
- Wavelet decomposition
- Wavelet Detection Filter
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You need to have a python environment setup and some extralibrary (boost, FramLib,gsl,fftw3 installed)
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You should run cmake CMakeList.txt
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Dependencies: gsl, fftw3, gslcblas, Framelib
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Python Binding: it depends on binder and pybind11 which should be installed
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Database configuration: none
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How to run tests: under dir test run
python test.py
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Deployment instructions: under python-wrapper directory run
python setup.py install
- Writing tests
- Code review
- Other guidelines
- Repo owner or admin ([email protected])
- Other community or team contact ([email protected], [email protected])