On Fri, Jan 31, 2014 at 12:01 AM, jennifer stone <jenny.stone...@gmail.com>wrote:
> With GSoC 2014 being round the corner, I hereby put up few projects for > discussion that I would love to pursue as a student. > Guidance, suggestions are cordially welcome:- > > 1. If I am not mistaken, contour integration is not supported by SciPy; in > fact even line integrals of real functions is yet to be implemented in > SciPy, which is surprising. Though we at present have SymPy for line > Integrals, I doubt if there is any open-source python package supporting > the calculation of Contour Integrals. With integrate module of SciPy > already having been properly developed for definite integration, > implementation of line as well as contour integrals, I presume; would not > require work from scratch and shall be a challenging but fruitful project. > > 2. I really have no idea if the purpose of NumPy or SciPy would encompass > this but we are yet to have indefinite integration. An implementation of > that, though highly challenging, may open doors for innumerable other > functions like the ones to calculate the Laplace transform, Hankel > transform and many more. > > 3. As stated earlier, we have spherical harmonic functions (with much > scope for dev) we are yet to have elliptical and cylindrical harmonic > function, which may be developed. > > 4. Lastly, we are yet to have Inverse Laplace transforms which as Ralf has > rightly pointed out it may be too challenging to implement. > > 5. Further reading the road-map given by Mr.Ralf, I would like to develop > the Bluestein's FFT algorithm. > > Thanks for reading along till the end. I shall append to this mail as when > I am struck with ideas. Please do give your valuable guidance > Another idea: add support for discrete wavelet transforms in scipy.signal. There's a fair bit of interest for those here I think. It would start by integrating https://github.com/rgommers/pywt, then adding some new features. Feature ideas: - 1-D and 2-D inverse SWT (have been requested several times on the PyWavelets list and issue tracker). - signal denoising (SureShrink & co, for scipy.signal) - image compression/denoising/... algorithms (for scikit-image) Ralf
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