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Tidying up includes: : C library, C++ library, other libraries' .h, project's .h.

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git-svn-id: https://svn.code.sf.net/p/gnss-sdr/code/trunk@476 64b25241-fba3-4117-9849-534c7e92360d
This commit is contained in:
Carles Fernandez
2014-01-12 20:07:38 +00:00
parent 6bff43504c
commit 05accfb1d7
108 changed files with 599 additions and 496 deletions
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7
src/algorithms/tracking/libs/correlator.cc
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@@ -10,7 +10,7 @@
*
* -------------------------------------------------------------------------
*
* Copyright (C) 2010-2012 (see AUTHORS file for a list of contributors)
* Copyright (C) 2010-2014 (see AUTHORS file for a list of contributors)
*
* GNSS-SDR is a software defined Global Navigation
* Satellite Systems receiver
@@ -33,10 +33,9 @@
* -------------------------------------------------------------------------
*/
#include <iostream>
//#include <gnuradio/block.h>
#include "correlator.h"
#include "correlator.h"
#include <iostream>
#define LV_HAVE_SSE3
#include "volk_cw_epl_corr.h"

3
src/algorithms/tracking/libs/correlator.h
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@@ -11,7 +11,7 @@
*
* -------------------------------------------------------------------------
*
* Copyright (C) 2010-2012 (see AUTHORS file for a list of contributors)
* Copyright (C) 2010-2014 (see AUTHORS file for a list of contributors)
*
* GNSS-SDR is a software defined Global Navigation
* Satellite Systems receiver
@@ -37,6 +37,7 @@
#ifndef GNSS_SDR_CORRELATOR_H_
#define GNSS_SDR_CORRELATOR_H_
#include <string>
#include <volk/volk.h>
#include <gnuradio/gr_complex.h>

5
src/algorithms/tracking/libs/lock_detectors.cc
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@@ -23,7 +23,7 @@
*
* -------------------------------------------------------------------------
*
* Copyright (C) 2010-2012 (see AUTHORS file for a list of contributors)
* Copyright (C) 2010-2014 (see AUTHORS file for a list of contributors)
*
* GNSS-SDR is a software defined Global Navigation
* Satellite Systems receiver
@@ -49,8 +49,7 @@
#include "lock_detectors.h"
#include "GPS_L1_CA.h"
#include "Galileo_E1.h"
#include <gnuradio/gr_complex.h>
//#include <math.h>
/*
* Signal-to-Noise (SNR) (\f$\rho\f$) estimator using the Signal-to-Noise Variance (SNV) estimator: