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https://github.com/eried/portapack-mayhem.git
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de81156223
* Advanced draft decim /4 just waterfall ok * apply some Kall's corrections + formatting * Tidy up both decim_factors * New refine optimizations * Format issues * more format issues ...mmmm * comments update * WIP Cleanup * WIP * WIP - add variant * Use std::visit to dispatch MultiDecimator -- fluent API * Clean up comments * Merge next and fix compilation * Fix odd loop in BlockDecimator * Clean up spectrum math * Descibe spectrum update math better, more clear math. * Apply spectrum interval correction at 1.5M * Increase replay buffer to handle x4 ovs --------- Co-authored-by: Brumi-2021 <ea3hqj@gmail.com>
169 lines
5.9 KiB
C++
169 lines
5.9 KiB
C++
/*
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* Copyright (C) 2016 Jared Boone, ShareBrained Technology, Inc.
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* Copyright (C) 2016 Furrtek
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*
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* This file is part of PortaPack.
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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; either version 2, or (at your option)
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* any later version.
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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 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; 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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#include "proc_replay.hpp"
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#include "sine_table_int8.hpp"
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#include "portapack_shared_memory.hpp"
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#include "event_m4.hpp"
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#include "utility.hpp"
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ReplayProcessor::ReplayProcessor() {
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channel_filter_low_f = taps_200k_decim_1.low_frequency_normalized * 1000000;
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channel_filter_high_f = taps_200k_decim_1.high_frequency_normalized * 1000000;
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channel_filter_transition = taps_200k_decim_1.transition_normalized * 1000000;
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spectrum_samples = 0;
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channel_spectrum.set_decimation_factor(1);
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configured = false;
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baseband_thread.start();
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}
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// Change to 1 to enable buffer assertions in replay.
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#define BUFFER_SIZE_ASSERT 0
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void ReplayProcessor::execute(const buffer_c8_t& buffer) {
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if (!configured || !stream) return;
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// Because this is actually adding samples, alias
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// oversample_rate so the math below is more clear.
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const size_t interpolation_factor = toUType(oversample_rate);
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// Wrap the IQ data array in a buffer with the correct sample_rate.
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buffer_c16_t iq_buffer{iq.data(), iq.size(), baseband_fs / interpolation_factor};
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// The IQ data in stream is C16 format and needs to be converted to C8 (N * 2).
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// The data also needs to be interpolated so the effective sample rate is closer
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// to 4Mhz. Because interpolation repeats a sample multiple times, fewer bytes
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// are needed from the source stream in order to fill the buffer (count / oversample).
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// Together the C16->C8 conversion and the interpolation give the number of
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// bytes that need to be read from the source stream.
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const size_t samples_to_read = buffer.count / interpolation_factor;
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const size_t bytes_to_read = samples_to_read * sizeof(buffer_c16_t::Type);
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#if BUFFER_SIZE_ASSERT
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// Verify the output buffer size is divisible by the interpolation factor.
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if (samples_to_read * interpolation_factor != buffer.count)
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chDbgPanic("Output not div.");
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// Is the input smaple buffer big enough?
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if (samples_to_read > iq_buffer.count)
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chDbgPanic("IQ buf ovf.");
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#endif
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// Read the C16 IQ data from the source stream.
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size_t current_bytes_read = stream->read(iq_buffer.p, bytes_to_read);
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// Compute the number of samples were actually read from the source.
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size_t samples_read = current_bytes_read / sizeof(buffer_c16_t::Type);
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// Write converted source samples to the output buffer with interpolation.
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for (auto i = 0u; i < samples_read; ++i) {
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int8_t re_out = iq_buffer.p[i].real() >> 8;
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int8_t im_out = iq_buffer.p[i].imag() >> 8;
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auto out_value = buffer_c8_t::Type{re_out, im_out};
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// Interpolate sample.
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for (auto j = 0u; j < interpolation_factor; ++j) {
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size_t index = i * interpolation_factor + j;
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buffer.p[index] = out_value;
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#if BUFFER_SIZE_ASSERT
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// Verify the index is within bounds.
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if (index >= buffer.count)
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chDbgPanic("Output bounds");
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#endif
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}
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}
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// Update tracking stats.
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bytes_read += current_bytes_read;
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spectrum_samples += samples_read * interpolation_factor;
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if (spectrum_samples >= spectrum_interval_samples) {
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spectrum_samples -= spectrum_interval_samples;
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channel_spectrum.feed(
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iq_buffer, channel_filter_low_f,
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channel_filter_high_f, channel_filter_transition);
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// Inform UI about progress.
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txprogress_message.progress = bytes_read;
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txprogress_message.done = false;
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shared_memory.application_queue.push(txprogress_message);
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}
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}
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void ReplayProcessor::on_message(const Message* const message) {
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switch (message->id) {
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case Message::ID::UpdateSpectrum:
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case Message::ID::SpectrumStreamingConfig:
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channel_spectrum.on_message(message);
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break;
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case Message::ID::SampleRateConfig:
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sample_rate_config(*reinterpret_cast<const SampleRateConfigMessage*>(message));
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break;
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case Message::ID::ReplayConfig:
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configured = false;
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bytes_read = 0;
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replay_config(*reinterpret_cast<const ReplayConfigMessage*>(message));
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break;
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// App has prefilled the buffers, we're ready to go now
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case Message::ID::FIFOData:
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configured = true;
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break;
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default:
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break;
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}
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}
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void ReplayProcessor::sample_rate_config(const SampleRateConfigMessage& message) {
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baseband_fs = message.sample_rate * toUType(message.oversample_rate);
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oversample_rate = message.oversample_rate;
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baseband_thread.set_sampling_rate(baseband_fs);
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spectrum_interval_samples = baseband_fs / spectrum_rate_hz;
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}
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void ReplayProcessor::replay_config(const ReplayConfigMessage& message) {
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if (message.config) {
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stream = std::make_unique<StreamOutput>(message.config);
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// Tell application that the buffers and FIFO pointers are ready, prefill
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shared_memory.application_queue.push(sig_message);
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} else {
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stream.reset();
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}
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}
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int main() {
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EventDispatcher event_dispatcher{std::make_unique<ReplayProcessor>()};
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event_dispatcher.run();
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return 0;
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}
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