maths.convolve_1d
=================

.. py:module:: maths.convolve_1d


Classes
-------

.. autoapisummary::

   maths.convolve_1d.DiscreteConvolve1D
   maths.convolve_1d.Signal


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

.. py:class:: DiscreteConvolve1D

   1D discrete convolution between two linear signals

   >>> s1 = Signal([1,2,3,4,5])
   >>> s2 = Signal([1,-1,2,-3])
   >>> DiscreteConvolve1D(s1,s2) # doctest: +NORMALIZE_WHITESPACE
   DiscreteConvolve1D(kern=Signal(signal=[1, 2, 3, 4, 5], n=5),
   sig=Signal(signal=[1, -1, 2, -3], n=4))


   .. py:property:: convolve_1d
      :type: Signal



   .. py:attribute:: kern
      :type:  Signal


   .. py:attribute:: sig
      :type:  Signal


.. py:class:: Signal

   A discrete representation of a signal as a n-dimensional vector

   >>> Signal([1.0,3.0,2.0,-1.0])
   Signal(signal=[1.0, 3.0, 2.0, -1.0], n=4)


   .. py:method:: __post_init__() -> None


   .. py:attribute:: n
      :type:  int
      :value: 0



   .. py:attribute:: signal
      :type:  list[float]
      :value: []