mirror of https://github.com/gnss-sdr/gnss-sdr
145 lines
4.4 KiB
C++
145 lines
4.4 KiB
C++
/*!
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* \file direct_resampler_conditioner_cc.cc
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* \brief Nearest neighborhood resampler with
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* gr_complex input and gr_complex output
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* \author Luis Esteve, 2011. luis(at)epsilon-formacion.com
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*
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* Detailed description of the file here if needed.
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*
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* -------------------------------------------------------------------------
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*
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* Copyright (C) 2010-2012 (see AUTHORS file for a list of contributors)
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*
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* GNSS-SDR is a software defined Global Navigation
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* Satellite Systems receiver
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*
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* This file is part of GNSS-SDR.
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*
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* GNSS-SDR 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 of the License, or
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* at your option) any later version.
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*
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* GNSS-SDR 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 GNSS-SDR. If not, see <http://www.gnu.org/licenses/>.
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*
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* -------------------------------------------------------------------------
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*/
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#include "direct_resampler_conditioner_cc.h"
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#include <iostream>
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#include <gnuradio/io_signature.h>
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#include <glog/log_severity.h>
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#include <glog/logging.h>
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using google::LogMessage;
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direct_resampler_conditioner_cc_sptr direct_resampler_make_conditioner_cc(
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double sample_freq_in, double sample_freq_out)
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{
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return direct_resampler_conditioner_cc_sptr(
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new direct_resampler_conditioner_cc(sample_freq_in,
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sample_freq_out));
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}
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direct_resampler_conditioner_cc::direct_resampler_conditioner_cc(
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double sample_freq_in, double sample_freq_out) :
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gr::block("direct_resampler_conditioner_cc", gr::io_signature::make(1, 1,
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sizeof(gr_complex)), gr::io_signature::make(1, 1,
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sizeof(gr_complex))), d_sample_freq_in(sample_freq_in),
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d_sample_freq_out(sample_freq_out), d_phase(0), d_lphase(0),
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d_history(1)
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{
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// Computes the phase step multiplying the resampling ratio by 2^32 = 4294967296
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if (d_sample_freq_in >= d_sample_freq_out)
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{
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d_phase_step = (unsigned int)floor((double)4294967296.0
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* sample_freq_out / sample_freq_in);
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}
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else
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{
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d_phase_step = (unsigned int)floor((double)4294967296.0
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* sample_freq_in / sample_freq_out);
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}
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set_relative_rate(1.0 * sample_freq_out / sample_freq_in);
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set_output_multiple(1);
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}
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direct_resampler_conditioner_cc::~direct_resampler_conditioner_cc()
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{
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}
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void direct_resampler_conditioner_cc::forecast(int noutput_items,
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gr_vector_int &ninput_items_required)
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{
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int nreqd = std::max((unsigned)1, (int)((double)(noutput_items + 1)
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* sample_freq_in() / sample_freq_out()) + history() - 1);
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unsigned ninputs = ninput_items_required.size();
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for (unsigned i = 0; i < ninputs; i++)
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{
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ninput_items_required[i] = nreqd;
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}
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}
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int direct_resampler_conditioner_cc::general_work(int noutput_items,
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gr_vector_int &ninput_items, 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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const gr_complex *in = (const gr_complex *)input_items[0];
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gr_complex *out = (gr_complex *)output_items[0];
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int lcv = 0;
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int count = 0;
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if (d_sample_freq_in >= d_sample_freq_out)
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{
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while ((lcv < noutput_items))
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{
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if (d_phase <= d_lphase)
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{
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out[lcv] = *in;
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lcv++;
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}
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d_lphase = d_phase;
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d_phase += d_phase_step;
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in++;
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count++;
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}
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}
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else
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{
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while ((lcv < noutput_items))
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{
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d_lphase = d_phase;
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d_phase += d_phase_step;
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if (d_phase <= d_lphase)
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{
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in++;
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count++;
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}
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out[lcv] = *in;
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lcv++;
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}
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}
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consume_each(std::min(count, ninput_items[0]));
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return lcv;
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}
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