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DATV Demod: removed VLAs in leansdr. Activated VLA warning at compile time
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@ -204,7 +204,7 @@ if (SANITIZE_ADDRESS)
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set(CMAKE_STATIC_LINKER_FLAGS "${CMAKE_STATIC_LINKER_FLAGS} -fsanitize=address")
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endif()
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -Wextra -fmax-errors=10 -ffast-math -ftree-vectorize ${EXTRA_FLAGS}")
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -Wextra -Wvla -fmax-errors=10 -ffast-math -ftree-vectorize ${EXTRA_FLAGS}")
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##############################################################################
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# base libraries
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@ -7,6 +7,7 @@
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#include "leansdr/convolutional.h"
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#include "leansdr/sdr.h"
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#include "leansdr/rs.h"
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#include "leansdr/incrementalarray.h"
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namespace leansdr
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{
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@ -1459,6 +1460,7 @@ private:
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dvb_dec_interface *dec;
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TCS *map; // [nsymbols]
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}*syncs; // [nsyncs]
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IncrementalArray<TPM> m_totaldiscr;
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int current_sync;
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static const int chunk_size = 128;
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int resync_phase;
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@ -1512,6 +1514,7 @@ public:
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// polarity inversion. We could reduce nsyncs.
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syncs = new sync[nsyncs];
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m_totaldiscr.allocate(nsyncs);
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for (int s = 0; s < nsyncs; ++s)
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{
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@ -1636,7 +1639,8 @@ public:
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while ((long) in.readable() >= nshifts * chunk_size + (nshifts - 1)
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&& ((long) out.writable() * 8) >= fec->bits_in * chunk_size)
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{
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TPM totaldiscr[nsyncs];
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//TPM totaldiscr[nsyncs];
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TPM *totaldiscr = m_totaldiscr.m_array;
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for (int s = 0; s < nsyncs; ++s)
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totaldiscr[s] = 0;
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64
plugins/channelrx/demoddatv/leansdr/incrementalarray.h
Normal file
64
plugins/channelrx/demoddatv/leansdr/incrementalarray.h
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@ -0,0 +1,64 @@
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///////////////////////////////////////////////////////////////////////////////////
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// Copyright (C) 2016 Edouard Griffiths, F4EXB //
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// //
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// This program 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 as version 3 of the License, or //
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// //
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// This program 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 V3 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 program. If not, see <http://www.gnu.org/licenses/>. //
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///////////////////////////////////////////////////////////////////////////////////
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#ifndef SDRBASE_UTIL_INCREMENTALARRAY_H_
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#define SDRBASE_UTIL_INCREMENTALARRAY_H_
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#include <stdint.h>
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namespace leansdr
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{
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template<typename T>
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class IncrementalArray
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{
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public:
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T *m_array;
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IncrementalArray();
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~IncrementalArray();
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void allocate(uint32_t size);
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private:
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uint32_t m_size;
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};
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template<typename T>
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IncrementalArray<T>::IncrementalArray() :
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m_array(0),
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m_size(0)
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{
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}
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template<typename T>
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IncrementalArray<T>::~IncrementalArray()
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{
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if (m_array) { delete[] m_array; }
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}
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template<typename T>
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void IncrementalArray<T>::allocate(uint32_t size)
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{
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if (size <= m_size) { return; }
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if (m_array) { delete[] m_array; }
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m_array = new T[size];
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m_size = size;
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}
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} // namespace
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#endif /* SDRBASE_UTIL_INCREMENTALARRAY_H_ */
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@ -3,6 +3,7 @@
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#include "leansdr/math.h"
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#include "leansdr/dsp.h"
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#include "leansdr/incrementalarray.h"
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namespace leansdr
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{
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@ -50,6 +51,8 @@ struct auto_notch: runnable
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__slots[s].i = -1;
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__slots[s].expj = new complex<float> [fft.n];
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}
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m_data.allocate(fft.n);
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m_amp.allocate(fft.n);
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}
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void run()
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@ -71,7 +74,8 @@ struct auto_notch: runnable
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void detect()
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{
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complex<T> *pin = in.rd();
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complex<float> data[fft.n];
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//complex<float> data[fft.n];
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complex<float> *data = m_data.m_array;
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float m0 = 0, m2 = 0;
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for (unsigned int i = 0; i < fft.n; ++i)
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@ -95,7 +99,8 @@ struct auto_notch: runnable
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}
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fft.inplace(data, true);
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float amp[fft.n];
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//float amp[fft.n];
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float *amp = m_amp.m_array;
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for (unsigned int i = 0; i < fft.n; ++i) {
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amp[i] = hypotf(data[i].re, data[i].im);
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@ -179,6 +184,8 @@ private:
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int phase;
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float gain;
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T agc_rms_setpoint;
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IncrementalArray<complex<float> > m_data;
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IncrementalArray<float> m_amp;
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};
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// SIGNAL STRENGTH ESTIMATOR
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@ -1537,12 +1544,16 @@ struct cnr_fft: runnable
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if (bandwidth > 0.25) {
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fail("cnr_fft::cnr_fft", "CNR estimator requires Fsampling > 4x Fsignal");
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}
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m_data.allocate(fft.n);
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m_power.allocate(fft.n);
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}
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float bandwidth;
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float *freq_tap, tap_multiplier;
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int decimation;
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float kavg;
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IncrementalArray<complex<T> > m_data;
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IncrementalArray<T> m_power;
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void run()
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{
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@ -1564,10 +1575,12 @@ private:
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{
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float center_freq = freq_tap ? *freq_tap * tap_multiplier : 0;
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int icf = floor(center_freq * fft.n + 0.5);
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complex<T> data[fft.n];
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//complex<T> data[fft.n];
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complex<T> *data = m_data.m_array;
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memcpy(data, in.rd(), fft.n * sizeof(data[0]));
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fft.inplace(data, true);
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T power[fft.n];
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//T power[fft.n];
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T *power = m_power.m_array;
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for (unsigned int i = 0; i < fft.n; ++i)
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power[i] = data[i].re * data[i].re + data[i].im * data[i].im;
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if (!avgpower)
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