That's funny, because in my opinion the functions in scipy.ndimage.filters are also specialized, as most of the time they seem to be used in image processing (but also in time-series processing) :)
In DSP.jl we mainly have functions for one-dimensional signal processing, though, and it would be nice to add multidimensional support to it. Filters such as max, min, median, and gaussian would also be interesting additions. -- João Felipe Santos On Tue, Mar 4, 2014 at 10:43 AM, Tobias Knopp <[email protected]>wrote: > Thanks for the hint. This seems to be a good start although the available > functions already seem to be quite specialized. > > The ndimage module from scipy ( > http://docs.scipy.org/doc/scipy/reference/ndimage.html#module-scipy.ndimage.filters) > goes into a direction what in my mind could cover a Signal.jl package. > > > > Am Dienstag, 4. März 2014 16:32:38 UTC+1 schrieb João Felipe Santos: >> >> We have some standard DSP stuff in https://github.com/JuliaDSP/DSP.jl. >> Our idea is to put everything DSP-related that is not application-specific >> in there, and then make other application-specific packages depend on it. >> >> -- >> João Felipe Santos >> >> >> On Tue, Mar 4, 2014 at 10:22 AM, Tobias Knopp >> <[email protected]>wrote: >> >>> I don't want to give a definate yes to it but will think a little bit >>> how such a package could look like. >>> My Cartesian macro foo is currently completely absent so that I would >>> have to learn this first. >>> >>> Do you know of others efforts/packages that go into that direction? >>> >>> Am Dienstag, 4. März 2014 15:51:33 UTC+1 schrieb Tim Holy: >>> >>>> I'm fine with that. Do you want to start it? >>>> >>>> --Tim >>>> >>> >>
