#include <math.h>
#include <assert.h>
#include <limits.h>
+#include <getopt.h>
#include <vector>
#include <algorithm>
#include "audioreader.h"
#include "interpolate.h"
+#include "level.h"
#include "tap.h"
#define BUFSIZE 4096
-#define HYSTERESIS_LIMIT 3000
#define C64_FREQUENCY 985248
-
#define SYNC_PULSE_START 1000
#define SYNC_PULSE_END 20000
#define SYNC_PULSE_LENGTH 378.0
#define SYNC_TEST_TOLERANCE 1.10
+// SPSA options
+#define NUM_FILTER_COEFF 32
+#define NUM_ITER 5000
+#define A NUM_ITER/10 // approx
+#define INITIAL_A 0.005 // A bit of trial and error...
+#define INITIAL_C 0.02 // This too.
+#define GAMMA 0.166
+#define ALPHA 1.0
+
+static float hysteresis_limit = 3000.0 / 32768.0;
+static bool do_calibrate = true;
+static bool output_cycles_plot = false;
+static bool use_filter = false;
+static bool do_crop = false;
+static float crop_start = 0.0f, crop_end = HUGE_VAL;
+static float filter_coeff[NUM_FILTER_COEFF] = { 1.0f }; // The rest is filled with 0.
+static bool output_filtered = false;
+static bool quiet = false;
+static bool do_auto_level = false;
+static bool output_leveled = false;
+static std::vector<float> train_snap_points;
+static bool do_train = false;
+
// between [x,x+1]
-double find_zerocrossing(const std::vector<short> &pcm, int x)
+double find_zerocrossing(const std::vector<float> &pcm, int x)
{
if (pcm[x] == 0) {
return x;
sync_pulse_end = try_end;
sync_pulse_stddev = stddev;
}
- fprintf(stderr, "Sync pulse length standard deviation: %.2f cycles\n",
- sync_pulse_stddev);
+ if (!quiet) {
+ fprintf(stderr, "Sync pulse length standard deviation: %.2f cycles\n",
+ sync_pulse_stddev);
+ }
double sum = 0.0;
for (int i = SYNC_PULSE_START; i < sync_pulse_end; ++i) {
}
double mean_length = C64_FREQUENCY * sum / (sync_pulse_end - SYNC_PULSE_START);
double calibration_factor = SYNC_PULSE_LENGTH / mean_length;
- fprintf(stderr, "Calibrated sync pulse length: %.2f -> %.2f (change %+.2f%%)\n",
- mean_length, SYNC_PULSE_LENGTH, 100.0 * (calibration_factor - 1.0));
+ if (!quiet) {
+ fprintf(stderr, "Calibrated sync pulse length: %.2f -> %.2f (change %+.2f%%)\n",
+ mean_length, SYNC_PULSE_LENGTH, 100.0 * (calibration_factor - 1.0));
+ }
// Check for pulses outside +/- 10% (sign of misdetection).
for (int i = SYNC_PULSE_START; i < sync_pulse_end; ++i) {
return calibration_factor;
}
-
-int main(int argc, char **argv)
+
+void output_tap(const std::vector<pulse>& pulses, double calibration_factor)
{
- make_lanczos_weight_table();
- std::vector<short> pcm;
- int sample_rate;
- if (!read_audio_file(argv[1], &pcm, &sample_rate)) {
- exit(1);
+ std::vector<char> tap_data;
+ for (unsigned i = 0; i < pulses.size(); ++i) {
+ double cycles = pulses[i].len * calibration_factor * C64_FREQUENCY;
+ int len = lrintf(cycles / TAP_RESOLUTION);
+ if (i > SYNC_PULSE_END && (cycles < 100 || cycles > 800)) {
+ fprintf(stderr, "Cycle with downflank at %.6f was detected at %.0f cycles; misdetect?\n",
+ pulses[i].time, cycles);
+ }
+ if (len <= 255) {
+ tap_data.push_back(len);
+ } else {
+ int overflow_len = lrintf(cycles);
+ tap_data.push_back(0);
+ tap_data.push_back(overflow_len & 0xff);
+ tap_data.push_back((overflow_len >> 8) & 0xff);
+ tap_data.push_back(overflow_len >> 16);
+ }
}
-#if 0
- for (int i = 0; i < LEN; ++i) {
- in[i] += rand() % 10000;
+ tap_header hdr;
+ memcpy(hdr.identifier, "C64-TAPE-RAW", 12);
+ hdr.version = 1;
+ hdr.reserved[0] = hdr.reserved[1] = hdr.reserved[2] = 0;
+ hdr.data_len = tap_data.size();
+
+ fwrite(&hdr, sizeof(hdr), 1, stdout);
+ fwrite(tap_data.data(), tap_data.size(), 1, stdout);
+}
+
+static struct option long_options[] = {
+ {"auto-level", 0, 0, 'a' },
+ {"no-calibrate", 0, 0, 's' },
+ {"plot-cycles", 0, 0, 'p' },
+ {"hysteresis-limit", required_argument, 0, 'l' },
+ {"filter", required_argument, 0, 'f' },
+ {"output-filtered", 0, 0, 'F' },
+ {"crop", required_argument, 0, 'c' },
+ {"quiet", 0, 0, 'q' },
+ {"help", 0, 0, 'h' },
+ {0, 0, 0, 0 }
+};
+
+void help()
+{
+ fprintf(stderr, "decode [OPTIONS] AUDIO-FILE > TAP-FILE\n");
+ fprintf(stderr, "\n");
+ fprintf(stderr, " -a, --auto-level automatically adjust amplitude levels throughout the file\n");
+ fprintf(stderr, " -A, --output-leveled output leveled waveform to leveled.raw\n");
+ fprintf(stderr, " -s, --no-calibrate do not try to calibrate on sync pulse length\n");
+ fprintf(stderr, " -p, --plot-cycles output debugging info to cycles.plot\n");
+ fprintf(stderr, " -l, --hysteresis-limit VAL change amplitude threshold for ignoring pulses (0..32768)\n");
+ fprintf(stderr, " -f, --filter C1:C2:C3:... specify FIR filter (up to %d coefficients)\n", NUM_FILTER_COEFF);
+ fprintf(stderr, " -F, --output-filtered output filtered waveform to filtered.raw\n");
+ fprintf(stderr, " -c, --crop START[:END] use only the given part of the file\n");
+ fprintf(stderr, " -t, --train LEN1:LEN2:... train a filter for detecting any of the given number of cycles\n");
+ fprintf(stderr, " (implies --no-calibrate and --quiet unless overridden)\n");
+ fprintf(stderr, " -q, --quiet suppress some informational messages\n");
+ fprintf(stderr, " -h, --help display this help, then exit\n");
+ exit(1);
+}
+
+void parse_options(int argc, char **argv)
+{
+ for ( ;; ) {
+ int option_index = 0;
+ int c = getopt_long(argc, argv, "aAspl:f:Fc:t:qh", long_options, &option_index);
+ if (c == -1)
+ break;
+
+ switch (c) {
+ case 'a':
+ do_auto_level = true;
+ break;
+
+ case 'A':
+ output_leveled = true;
+ break;
+
+ case 's':
+ do_calibrate = false;
+ break;
+
+ case 'p':
+ output_cycles_plot = true;
+ break;
+
+ case 'l':
+ hysteresis_limit = atof(optarg) / 32768.0;
+ break;
+
+ case 'f': {
+ const char *coeffstr = strtok(optarg, ": ");
+ int coeff_index = 0;
+ while (coeff_index < NUM_FILTER_COEFF && coeffstr != NULL) {
+ filter_coeff[coeff_index++] = atof(coeffstr);
+ coeffstr = strtok(NULL, ": ");
+ }
+ use_filter = true;
+ break;
+ }
+
+ case 'F':
+ output_filtered = true;
+ break;
+
+ case 'c': {
+ const char *cropstr = strtok(optarg, ":");
+ crop_start = atof(cropstr);
+ cropstr = strtok(NULL, ":");
+ if (cropstr == NULL) {
+ crop_end = HUGE_VAL;
+ } else {
+ crop_end = atof(cropstr);
+ }
+ do_crop = true;
+ break;
+ }
+
+ case 't': {
+ const char *cyclestr = strtok(optarg, ":");
+ while (cyclestr != NULL) {
+ train_snap_points.push_back(atof(cyclestr));
+ cyclestr = strtok(NULL, ":");
+ }
+ do_train = true;
+
+ // Set reasonable defaults (can be overridden later on the command line).
+ do_calibrate = false;
+ quiet = true;
+ break;
+ }
+
+ case 'q':
+ quiet = true;
+ break;
+
+ case 'h':
+ default:
+ help();
+ exit(1);
+ }
}
-#endif
+}
-#if 0
- for (int i = 0; i < LEN; ++i) {
- printf("%d\n", in[i]);
+std::vector<float> crop(const std::vector<float>& pcm, float crop_start, float crop_end, int sample_rate)
+{
+ size_t start_sample, end_sample;
+ if (crop_start >= 0.0f) {
+ start_sample = std::min<size_t>(lrintf(crop_start * sample_rate), pcm.size());
+ }
+ if (crop_end >= 0.0f) {
+ end_sample = std::min<size_t>(lrintf(crop_end * sample_rate), pcm.size());
+ }
+ return std::vector<float>(pcm.begin() + start_sample, pcm.begin() + end_sample);
+}
+
+// TODO: Support AVX here.
+std::vector<float> do_filter(const std::vector<float>& pcm, const float* filter)
+{
+ std::vector<float> filtered_pcm;
+ filtered_pcm.reserve(pcm.size());
+ for (unsigned i = NUM_FILTER_COEFF; i < pcm.size(); ++i) {
+ float s = 0.0f;
+ for (int j = 0; j < NUM_FILTER_COEFF; ++j) {
+ s += filter[j] * pcm[i - j];
+ }
+ filtered_pcm.push_back(s);
+ }
+
+ if (output_filtered) {
+ FILE *fp = fopen("filtered.raw", "wb");
+ fwrite(filtered_pcm.data(), filtered_pcm.size() * sizeof(filtered_pcm[0]), 1, fp);
+ fclose(fp);
}
-#endif
- std::vector<pulse> pulses; // in seconds
+ return filtered_pcm;
+}
+
+std::vector<pulse> detect_pulses(const std::vector<float> &pcm, int sample_rate)
+{
+ std::vector<pulse> pulses;
// Find the flanks.
int last_bit = -1;
for (unsigned i = 0; i < pcm.size(); ++i) {
int bit = (pcm[i] > 0) ? 1 : 0;
if (bit == 0 && last_bit == 1) {
- // Check if we ever go up above HYSTERESIS_LIMIT before we dip down again.
+ // Check if we ever go up above <hysteresis_limit> before we dip down again.
bool true_pulse = false;
unsigned j;
int min_level_after = 32767;
for (j = i; j < pcm.size(); ++j) {
min_level_after = std::min<int>(min_level_after, pcm[j]);
if (pcm[j] > 0) break;
- if (pcm[j] < -HYSTERESIS_LIMIT) {
+ if (pcm[j] < -hysteresis_limit) {
true_pulse = true;
break;
}
if (!true_pulse) {
#if 0
fprintf(stderr, "Ignored down-flank at %.6f seconds due to hysteresis (%d < %d).\n",
- double(i) / sample_rate, -min_level_after, HYSTERESIS_LIMIT);
+ double(i) / sample_rate, -min_level_after, hysteresis_limit);
#endif
i = j;
continue;
}
// down-flank!
- double t = find_zerocrossing(pcm, i - 1) * (1.0 / sample_rate);
+ double t = find_zerocrossing(pcm, i - 1) * (1.0 / sample_rate) + crop_start;
if (last_downflank > 0) {
pulse p;
p.time = t;
}
last_bit = bit;
}
+ return pulses;
+}
- double calibration_factor = calibrate(pulses);
-
+void output_cycle_plot(const std::vector<pulse> &pulses, double calibration_factor)
+{
FILE *fp = fopen("cycles.plot", "w");
- std::vector<char> tap_data;
for (unsigned i = 0; i < pulses.size(); ++i) {
double cycles = pulses[i].len * calibration_factor * C64_FREQUENCY;
fprintf(fp, "%f %f\n", pulses[i].time, cycles);
- int len = lrintf(cycles / TAP_RESOLUTION);
- if (i > SYNC_PULSE_END && (cycles < 100 || cycles > 800)) {
- fprintf(stderr, "Cycle with downflank at %.6f was detected at %.0f cycles; misdetect?\n",
- pulses[i].time, cycles);
+ }
+ fclose(fp);
+}
+
+float eval_badness(const std::vector<pulse>& pulses, double calibration_factor)
+{
+ double sum_badness = 0.0;
+ for (unsigned i = 0; i < pulses.size(); ++i) {
+ double cycles = pulses[i].len * calibration_factor * C64_FREQUENCY;
+ if (cycles > 2000.0) cycles = 2000.0; // Don't make pauses arbitrarily bad.
+ double badness = (cycles - train_snap_points[0]) * (cycles - train_snap_points[0]);
+ for (unsigned j = 1; j < train_snap_points.size(); ++j) {
+ badness = std::min(badness, (cycles - train_snap_points[j]) * (cycles - train_snap_points[j]));
}
- if (len <= 255) {
- tap_data.push_back(len);
- } else {
- int overflow_len = lrintf(cycles);
- tap_data.push_back(0);
- tap_data.push_back(overflow_len & 0xff);
- tap_data.push_back((overflow_len >> 8) & 0xff);
- tap_data.push_back(overflow_len >> 16);
+ sum_badness += badness;
+ }
+ return sqrt(sum_badness / (pulses.size() - 1));
+}
+
+void spsa_train(std::vector<float> &pcm, int sample_rate)
+{
+ // Train!
+ float filter[NUM_FILTER_COEFF] = { 1.0f }; // The rest is filled with 0.
+
+ float start_c = INITIAL_C;
+ double best_badness = HUGE_VAL;
+
+ for (int n = 1; n < NUM_ITER; ++n) {
+ float a = INITIAL_A * pow(n + A, -ALPHA);
+ float c = start_c * pow(n, -GAMMA);
+
+ // find a random perturbation
+ float p[NUM_FILTER_COEFF];
+ float filter1[NUM_FILTER_COEFF], filter2[NUM_FILTER_COEFF];
+ for (int i = 0; i < NUM_FILTER_COEFF; ++i) {
+ p[i] = (rand() % 2) ? 1.0 : -1.0;
+ filter1[i] = std::max(std::min(filter[i] - c * p[i], 1.0f), -1.0f);
+ filter2[i] = std::max(std::min(filter[i] + c * p[i], 1.0f), -1.0f);
}
+
+ std::vector<pulse> pulses1 = detect_pulses(do_filter(pcm, filter1), sample_rate);
+ std::vector<pulse> pulses2 = detect_pulses(do_filter(pcm, filter2), sample_rate);
+ float badness1 = eval_badness(pulses1, 1.0);
+ float badness2 = eval_badness(pulses2, 1.0);
+
+ // Find the gradient estimator
+ float g[NUM_FILTER_COEFF];
+ for (int i = 0; i < NUM_FILTER_COEFF; ++i) {
+ g[i] = (badness2 - badness1) / (2.0 * c * p[i]);
+ filter[i] -= a * g[i];
+ filter[i] = std::max(std::min(filter[i], 1.0f), -1.0f);
+ }
+ if (badness2 < badness1) {
+ std::swap(badness1, badness2);
+ std::swap(filter1, filter2);
+ std::swap(pulses1, pulses2);
+ }
+ if (badness1 < best_badness) {
+ printf("\nNew best filter (badness=%f):", badness1);
+ for (int i = 0; i < NUM_FILTER_COEFF; ++i) {
+ printf(" %.5f", filter1[i]);
+ }
+ best_badness = badness1;
+ printf("\n");
+
+ if (output_cycles_plot) {
+ output_cycle_plot(pulses1, 1.0);
+ }
+ }
+ printf("%d ", n);
+ fflush(stdout);
}
- fclose(fp);
+}
- tap_header hdr;
- memcpy(hdr.identifier, "C64-TAPE-RAW", 12);
- hdr.version = 1;
- hdr.reserved[0] = hdr.reserved[1] = hdr.reserved[2] = 0;
- hdr.data_len = tap_data.size();
+int main(int argc, char **argv)
+{
+ parse_options(argc, argv);
- fwrite(&hdr, sizeof(hdr), 1, stdout);
- fwrite(tap_data.data(), tap_data.size(), 1, stdout);
+ make_lanczos_weight_table();
+ std::vector<float> pcm;
+ int sample_rate;
+ if (!read_audio_file(argv[optind], &pcm, &sample_rate)) {
+ exit(1);
+ }
- // Output a debug raw file with pulse detection points.
- fp = fopen("debug.raw", "wb");
- short one = 32767;
- short zero = 0;
- unsigned pulsenum = 0;
- for (unsigned i = 0; i < pcm.size(); ++i) {
- unsigned next_pulse = (pulsenum >= pulses.size()) ? INT_MAX : int(pulses[pulsenum].time * sample_rate);
- if (i >= next_pulse) {
- fwrite(&one, sizeof(one), 1, fp);
- ++pulsenum;
- } else {
- fwrite(&zero, sizeof(zero), 1, fp);
+ if (do_crop) {
+ pcm = crop(pcm, crop_start, crop_end, sample_rate);
+ }
+
+ if (use_filter) {
+ pcm = do_filter(pcm, filter_coeff);
+ }
+
+ if (do_auto_level) {
+ pcm = level_samples(pcm, sample_rate);
+ if (output_leveled) {
+ FILE *fp = fopen("leveled.raw", "wb");
+ fwrite(pcm.data(), pcm.size() * sizeof(pcm[0]), 1, fp);
+ fclose(fp);
}
}
- fclose(fp);
+
+#if 0
+ for (int i = 0; i < LEN; ++i) {
+ in[i] += rand() % 10000;
+ }
+#endif
+
+#if 0
+ for (int i = 0; i < LEN; ++i) {
+ printf("%d\n", in[i]);
+ }
+#endif
+
+ if (do_train) {
+ spsa_train(pcm, sample_rate);
+ exit(0);
+ }
+
+ std::vector<pulse> pulses = detect_pulses(pcm, sample_rate);
+
+ double calibration_factor = 1.0;
+ if (do_calibrate) {
+ calibration_factor = calibrate(pulses);
+ }
+
+ if (output_cycles_plot) {
+ output_cycle_plot(pulses, calibration_factor);
+ }
+
+ output_tap(pulses, calibration_factor);
}
projects / c64tapwav / blobdiff