seg1d.optimized_funcs.rcor

seg1d.optimized_funcs.rcor(x, Y)

Correlation of multiple arrays to a single array using a rolling window correlation.

Parameters:

x1d array

target array

Yndarray

references resampled to correct size

Returns:

n x m array

correlations of one ndarray to an m x ndarray

Notes

This will try to use numba for optimization.

Examples

>>> import numpy as np
>>> import seg1d.optimized_funcs as optF

>>> x = np.sin( np.linspace(-3, 3, 25) )
>>> y = np.sin( np.linspace(-3, 3, 60) ).reshape(3,20)

>>> optF.rcor(x,y)
array([[-0.50743663, -0.66692675, -0.78849873, -0.87803067, -0.93682968,
        -0.96013818],
       [ 0.83362263,  0.91097751,  0.94663428,  0.94663428,  0.91097751,
         0.83362263],
       [-0.96013818, -0.93682968, -0.87803067, -0.78849873, -0.66692675,
        -0.50743663]])