:py:mod:`sdr_helper`
====================

.. py:module:: sdr_helper


Subpackages
-----------
.. toctree::
   :titlesonly:
   :maxdepth: 3

   test/index.rst


Submodules
----------
.. toctree::
   :titlesonly:
   :maxdepth: 1

   __version__/index.rst
   rtlsdr/index.rst
   sdr_helper/index.rst


Package Contents
----------------


Functions
~~~~~~~~~

.. autoapisummary::

   sdr_helper.discrim
   sdr_helper.mono_fm
   sdr_helper.stereo_fm
   sdr_helper.wide_psd
   sdr_helper.pilot_pll
   sdr_helper.sccs_bit_sync
   sdr_helper.fsk_bep
   sdr_helper.to_wav_stereo
   sdr_helper.complex2wav
   sdr_helper.wav2complex



.. py:function:: discrim(x)

   
   function disdata = discrim(x)
   where x is an angle modulated signal in complex baseband form.

   Mark Wickert















   ..
       !! processed by numpydoc !!

.. py:function:: mono_fm(x, fs=2400000.0, file_name='test.wav')

   
   Decimate complex baseband input by 10
   Design 1st decimation lowpass filter (f_c = 200 KHz)
















   ..
       !! processed by numpydoc !!

.. py:function:: stereo_fm(x, fs=2400000.0, file_name='test.wav')

   
   Stereo demod from complex baseband at sampling rate fs.
   Assume fs is 2400 ksps

   Mark Wickert July 2017















   ..
       !! processed by numpydoc !!

.. py:function:: wide_psd(tc, f_start, f_stop, fs=2400000.0, rho=0.6)


.. py:function:: pilot_pll(xr, fq, fs, loop_type, bn, zeta)

   
   Mark Wickert, April 2014
















   ..
       !! processed by numpydoc !!

.. py:function:: sccs_bit_sync(y, ns)

   
   //////////////////////////////////////////////////////
    Symbol synchronization algorithm using SCCS
   //////////////////////////////////////////////////////
        y = baseband NRZ data waveform
       Ns = nominal number of samples per symbol

   Reworked from ECE 5675 Project
   Translated from m-code version
   Mark Wickert April 2014















   ..
       !! processed by numpydoc !!

.. py:function:: fsk_bep(rx_data, m, flip)

   
   Estimate the BEP of the data bits recovered
   by the RTL-SDR Based FSK Receiver.

   The reference m-sequence generated in Python
   was found to produce sequences running in the opposite
   direction relative to the m-sequences generated by the
   mbed. To allow error detection the reference m-sequence
   is flipped.

   Mark Wickert April 2014















   ..
       !! processed by numpydoc !!

.. py:function:: to_wav_stereo(filename, rate, x_l, x_r=None)


.. py:function:: complex2wav(filename, rate, x)

   
   Save a complex signal vector to a wav file for compact binary
   storage of 16-bit signal samples. The wav left and right channels
   are used to save real (I) and imaginary (Q) values. The rate is
   just a convent way of documenting the original signal sample rate.

   complex2wav(filename,rate,x)

   Mark Wickert April 2014















   ..
       !! processed by numpydoc !!

.. py:function:: wav2complex(filename)

   
   Return a complex signal vector from a wav file that was used to store
   the real (I) and imaginary (Q) values of a complex signal ndarray. 
   The rate is included as means of recalling the original signal sample 
   rate.

   fs,x = wav2complex(filename)

   Mark Wickert April 2014















   ..
       !! processed by numpydoc !!