def convolve(f, g, mode='full', axes=None):
'''Perform a convolution along given axes'''
if mode == 'same':
return _signal.convolveToSameShape(_asf(f)._jdataset(), _asf(g)._jdataset(), axes)
elif mode == 'valid':
return _signal.convolveForOverlap(_asf(f)._jdataset(), _asf(g)._jdataset(), axes)
elif mode == 'full':
return _signal.convolve(_asf(f)._jdataset(), _asf(g)._jdataset(), axes)
raise ValueError, 'mode keyword has unrecognised value'
def convolve(f, g, axes=None):
'''Perform a convolution along given axes'''
return _signal.convolve(f, g, axes)
