.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_auto_examples_Cochlea_examples_plot_cochlea_process_one_channel.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_Cochlea_examples_plot_cochlea_process_one_channel.py:


===============================================
  Process a single channel of the cochlea
===============================================

This example show how to run a signal through a specific channel of the cochlea




.. code-block:: python


    import os
    import numpy as np
    from scipy.io import wavfile
    import seaborn as sns
    from simplecochlea import Cochlea, generate_signals
    sns.set_context('paper')








Create the cochlea



.. code-block:: python

    fs, fmin, fmax, freq_scale, n_channels = 44100, 200, 8000, 'erbscale', 100
    comp_factor, comp_gain = 0.3, 1.5
    tau, v_thresh, v_spike = np.linspace(0.001, 0.0004, n_channels), 0, 0.5
    # Adaptive threshold parameters
    tau_j, alpha_j = np.array([0.010, 0.200]), np.array([0.010, 0.000002])
    omega = np.linspace(0.15, 0.2, n_channels)

    cochlea_adaptive_thresh = Cochlea(n_channels, fs, fmin, fmax, freq_scale, comp_factor=comp_factor, comp_gain=comp_gain,
                                      lif_tau=tau, lif_v_thresh=v_thresh, lif_v_spike=v_spike, tau_j=tau_j, alpha_j=alpha_j,
                                      omega=omega)







Generate a sinusoidal signal



.. code-block:: python

    x_sin = generate_signals.generate_sinus(fs, 1800, t_offset=0, t_max=0.25, amplitude=1)







Pass the input signal through one channel of the cochlea
The `plot_channel_evolution` method allows to visualize the differents steps
 of the cochlea processing



.. code-block:: python

    cochlea_adaptive_thresh.plot_channel_evolution(x_sin, 30)





.. image:: /auto_examples/Cochlea_examples/images/sphx_glr_plot_cochlea_process_one_channel_001.png
    :class: sphx-glr-single-img




**Total running time of the script:** ( 0 minutes  0.337 seconds)


.. _sphx_glr_download_auto_examples_Cochlea_examples_plot_cochlea_process_one_channel.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_cochlea_process_one_channel.py <plot_cochlea_process_one_channel.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_cochlea_process_one_channel.ipynb <plot_cochlea_process_one_channel.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_