.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/tone-complex.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_gallery_tone-complex.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_tone-complex.py:


Calibrated multitone complex
============================

This demonstrates how to generate multiple tones of equal SPL when the
speaker's output is not uniform.

.. GENERATED FROM PYTHON SOURCE LINES 8-21

.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy as np

    from psiaudio import calibration, stim, util


    frequencies = [1e3, 2e3, 4e3, 8e3]
    levels =      [ 94,  98,  92, 100]
    cal = calibration.InterpCalibration.from_spl(frequencies, levels)

    fs = 100e3








.. GENERATED FROM PYTHON SOURCE LINES 22-26

We take advantage of Numpy broadcasting to return a 2D array of frequency x
time. Each row represents a tone of the desired frequency. By summing across
rows, we can get a single stimulus waveform that contains all tone
frequencies.

.. GENERATED FROM PYTHON SOURCE LINES 26-38

.. code-block:: Python

    frequencies = np.array(frequencies)[:, np.newaxis]
    tone_complex = stim.ramped_tone(
        fs=fs,
        duration=1,
        rise_time=5e-3,
        frequency=frequencies,
        level=94,
        calibration=cal,
    )

    tone_complex = tone_complex.sum(axis=0)








.. GENERATED FROM PYTHON SOURCE LINES 39-40

Calculate an offset such that the tone is centered in the time plot.

.. GENERATED FROM PYTHON SOURCE LINES 40-50

.. code-block:: Python

    t = np.arange(len(tone_complex)) / fs * 1e3

    figure, axes = plt.subplots(1, 2, figsize=(8, 4))
    axes[0].plot(t, tone_complex)

    axes[0].set_xlabel('Time (msec)')
    axes[0].set_ylabel('Amplitude (Pascals)')

    psd = util.patodb(util.psd_df(tone_complex, fs))




.. image-sg:: /gallery/images/sphx_glr_tone-complex_001.png
   :alt: tone complex
   :srcset: /gallery/images/sphx_glr_tone-complex_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 51-53

Plot the spectrum. Note the use of psiaudio's custom scale to show ticks on
an octave scale.

.. GENERATED FROM PYTHON SOURCE LINES 53-63

.. code-block:: Python

    axes[1].plot(psd)
    axes[1].set_xscale('octave')
    axes[1].axis(xmin=250, xmax=16e3, ymin=0, ymax=100)

    axes[1].set_xlabel('Frequency (kHz)')
    axes[1].set_ylabel('Amplitude (dB SPL)')

    figure.tight_layout()

    plt.show()








.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 1.178 seconds)


.. _sphx_glr_download_gallery_tone-complex.py:

.. only:: html

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

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: tone-complex.ipynb <tone-complex.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: tone-complex.py <tone-complex.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: tone-complex.zip <tone-complex.zip>`


.. only:: html

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

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