Hi all, I think a scikit-signal would be a nice project in the scipy ecosystem. My gut feeling is that there is already a lot of great pieces of code for signal processing in Python but it's too fragmented. Most of it is in scipy.signal but one may need some pieces in scipy.ndimage and external projects like for example for wavelets. I would be neat to have a main entry point for signal processing in Python. As demonstrated with scikit-learn a small and great project can emerge from scipy/numpy. The benefit is that the entry cost can be much lower for a developer compared to contributing directly to scipy and a small project can release more often and eventually back port new stuff from scipy core. As I already said to Jaydev, I think one should start by defining the scope of such a project and list/review existing codes to bootstrap the project. Best, Alex On Tue, Dec 27, 2011 at 6:55 PM, Jaidev Deshpande <deshpande.jaidev@gmail.com> wrote:
Hi Alan
I've been playing with Empirical Mode Decomposition, and coded it up in numpy, and it is pretty neat, but I do believe that NASA has patented it, which would probably preclude distributing it in a scikit, without a lot of legal effort.
EMD and HHT are nowhere in the scikit plan right now (unless others decide to put it up), I simply mentioned it because it's one of my interests.
Let's start talking about a basic signal processing scikit first. I guess there will be enough room for adaptive methods like the HHT later.
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