mirror of https://github.com/hb9fxq/gr-digitalhf
73 lines
2.1 KiB
C++
73 lines
2.1 KiB
C++
/* -*- c++ -*- */
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/*
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* Copyright 2018 hcab14@mail.com.
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*
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* This is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 3, or (at your option)
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* any later version.
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*
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* This software is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this software; see the file COPYING. If not, write to
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* the Free Software Foundation, Inc., 51 Franklin Street,
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* Boston, MA 02110-1301, USA.
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*/
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#ifndef INCLUDED_DIGITALHF_ADAPTIVE_DFE_IMPL_H
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#define INCLUDED_DIGITALHF_ADAPTIVE_DFE_IMPL_H
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#include <digitalhf/adaptive_dfe.h>
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#include <boost/python.hpp>
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#include <boost/python/numpy.hpp>
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namespace gr {
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namespace digitalhf {
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class adaptive_dfe_impl : public adaptive_dfe {
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private:
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int _sps;
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int _nB, _nF, _nW;
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std::string _py_file_name;
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boost::python::object _physicalLayer;
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std::vector<gr_complex> _taps_samples;
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std::vector<gr_complex> _taps_symbols;
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// boost::python::numpy::ndarray _symbols;
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boost::python::object _constellation;
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void get_next_frame();
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public:
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adaptive_dfe_impl(int sps, // samples per symbol
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int nB, // number of forward FIR taps
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int nF, // number of backward FIR taps
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int nW, // number of symbol taps
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std::string python_file_name);
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virtual ~adaptive_dfe_impl();
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// Where all the action really happens
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void forecast (int noutput_items, gr_vector_int &ninput_items_required);
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virtual bool start();
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virtual bool stop();
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virtual int general_work(int noutput_items,
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gr_vector_int &ninput_items,
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gr_vector_const_void_star &input_items,
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gr_vector_void_star &output_items);
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} ;
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} // namespace digitalhf
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} // namespace gr
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#endif /* INCLUDED_DIGITALHF_ADAPTIVE_DFE_IMPL_H */
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