:orphan:

:py:mod:`cddm._core_nb`
=======================

.. py:module:: cddm._core_nb

.. autoapi-nested-parse::

   Low level numba functions



Module Contents
---------------

.. py:function:: abs2(x)

   Absolute square of data


.. py:function:: mean(a, b)

   Man value


.. py:function:: choose(a, b)

   Chooses data randomly


.. py:function:: convolve(a, out)

   Convolves input array with kernel [0.25,0.5,0.25]


.. py:function:: interpolate(x_new, x, y, out)

   Linear interpolation


.. py:function:: log_interpolate(x_new, x, y, out=None)

   Linear interpolation in semilogx space.


.. py:function:: median(array, out=None)

   Performs median filter of complex or float data.


.. py:function:: weighted_sum(x, y, weight, out=None)

   Performs weighted sum of two data sets, given the weight data.
   Weight must be normalized between 0 and 1. Performs:
   `x * weight + (1.- weight) * y`


.. py:function:: decreasing(array, out)

   Performs decreasing filter. Each next element must be smaller or equal


.. py:function:: increasing(array, out)

   Performs increasing filter. Each next element must be greater or equal


.. py:function:: weight_from_g(g, delta)

   Computes weight for weighted normalization from normalized and scaled
   correlation function


.. py:function:: weight_prime_from_g(g, delta, b1, b2)

   Computes weight for weighted normalization from normalized and scaled
   correlation function


.. py:function:: sigma_weighted(w, g, delta)

   Computes standard deviation of the weighted normalization.