Dear scikit-learn community:
Block Sparse Bayesian Learning is a powerful CS algorithm for recovering block
sparse signals with structures, and shows the additional benefits of
reconstruct non-sparse signals, see Dr. zhilin zhang's websites:
http://dsp.ucsd.edu/~zhilin/BSBL.html
I currently implement the BSBL-BO algorithm by Zhang and a fast version of BSBL
algorithm recently proposed by us, called BSBL-FM, in python. Plus many demos
using these two codes. Does scikit-learn community welcome such type of code ?
what is the procedure to submit the code in the mainstream of scikit learn?
Thanks for the great project!
Liu benyuan
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