#include <stdio.h>
#include <string.h>
#include <math.h>
-#include <unistd.h>
#include <assert.h>
+#include <limits.h>
+#include <getopt.h>
#include <vector>
#include <algorithm>
-#define LANCZOS_RADIUS 30
+#include "audioreader.h"
+#include "interpolate.h"
+#include "level.h"
+#include "tap.h"
+
#define BUFSIZE 4096
-#define HYSTERESIS_LIMIT 3000
-#define SAMPLE_RATE 44100
#define C64_FREQUENCY 985248
-#define TAP_RESOLUTION 8
-
#define SYNC_PULSE_START 1000
-#define SYNC_PULSE_END 15000
-#define SYNC_PULSE_LENGTH 380.0
+#define SYNC_PULSE_END 20000
+#define SYNC_PULSE_LENGTH 378.0
#define SYNC_TEST_TOLERANCE 1.10
-struct tap_header {
- char identifier[12];
- char version;
- char reserved[3];
- unsigned int data_len;
-};
-
-double sinc(double x)
-{
- if (fabs(x) < 1e-6) {
- return 1.0f - fabs(x);
- } else {
- return sin(x) / x;
- }
-}
-
-#if 0
-double weight(double x)
-{
- if (fabs(x) > LANCZOS_RADIUS) {
- return 0.0f;
- }
- return sinc(M_PI * x) * sinc(M_PI * x / LANCZOS_RADIUS);
-}
-#else
-double weight(double x)
-{
- if (fabs(x) > 1.0f) {
- return 0.0f;
- }
- return 1.0f - fabs(x);
-}
-#endif
+// 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
-double interpolate(const std::vector<short> &pcm, double i)
-{
- int lower = std::max<int>(ceil(i - LANCZOS_RADIUS), 0);
- int upper = std::min<int>(floor(i + LANCZOS_RADIUS), pcm.size() - 1);
- double sum = 0.0f;
+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;
- for (int x = lower; x <= upper; ++x) {
- sum += pcm[x] * weight(i - x);
- }
- return sum;
-}
-
// 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;
return x + 1;
}
- assert(pcm[x + 1] > 0);
- assert(pcm[x] < 0);
+ assert(pcm[x + 1] < 0);
+ assert(pcm[x] > 0);
- double lower = x;
- double upper = x + 1;
- while (upper - lower > 1e-6) {
+ double upper = x;
+ double lower = x + 1;
+ while (lower - upper > 1e-3) {
double mid = 0.5f * (upper + lower);
- if (interpolate(pcm, mid) > 0) {
+ if (lanczos_interpolate(pcm, mid) > 0) {
upper = mid;
} else {
lower = mid;
double time; // in seconds from start
double len; // in seconds
};
-
-int main(int argc, char **argv)
-{
- std::vector<short> pcm;
- while (!feof(stdin)) {
- short buf[BUFSIZE];
- ssize_t ret = fread(buf, 2, BUFSIZE, stdin);
- if (ret >= 0) {
- pcm.insert(pcm.end(), buf, buf + ret);
- }
- }
-
-#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]);
+// Calibrate on the first ~25k pulses (skip a few, just to be sure).
+double calibrate(const std::vector<pulse> &pulses) {
+ if (pulses.size() < SYNC_PULSE_END) {
+ fprintf(stderr, "Too few pulses, not calibrating!\n");
+ return 1.0;
}
-#endif
- std::vector<pulse> pulses; // in seconds
+ int sync_pulse_end = -1;
+ double sync_pulse_stddev = -1.0;
- // Find the flanks.
- int last_bit = -1;
- double last_upflank = -1;
- int last_max_level = 0;
- for (unsigned i = 0; i < pcm.size(); ++i) {
- int bit = (pcm[i] > 0) ? 1 : 0;
- if (bit == 1 && last_bit == 0 && last_max_level > HYSTERESIS_LIMIT) {
- // up-flank!
- double t = find_zerocrossing(pcm, i - 1) * (1.0 / SAMPLE_RATE);
- if (last_upflank > 0) {
- pulse p;
- p.time = t;
- p.len = t - last_upflank;
- pulses.push_back(p);
- }
- last_upflank = t;
- last_max_level = 0;
+ // Compute the standard deviation (to check for uneven speeds).
+ // If it suddenly skyrockets, we assume that sync ended earlier
+ // than we thought (it should be 25000 cycles), and that we should
+ // calibrate on fewer cycles.
+ for (int try_end : { 2000, 4000, 5000, 7500, 10000, 15000, SYNC_PULSE_END }) {
+ double sum2 = 0.0;
+ for (int i = SYNC_PULSE_START; i < try_end; ++i) {
+ double cycles = pulses[i].len * C64_FREQUENCY;
+ sum2 += (cycles - SYNC_PULSE_LENGTH) * (cycles - SYNC_PULSE_LENGTH);
}
- last_max_level = std::max(last_max_level, abs(pcm[i]));
- last_bit = bit;
+ double stddev = sqrt(sum2 / (try_end - SYNC_PULSE_START - 1));
+ if (sync_pulse_end != -1 && stddev > 5.0 && stddev / sync_pulse_stddev > 1.3) {
+ fprintf(stderr, "Stopping at %d sync pulses because standard deviation would be too big (%.2f cycles); shorter-than-usual trailer?\n",
+ sync_pulse_end, stddev);
+ break;
+ }
+ sync_pulse_end = try_end;
+ sync_pulse_stddev = stddev;
+ }
+ if (!quiet) {
+ fprintf(stderr, "Sync pulse length standard deviation: %.2f cycles\n",
+ sync_pulse_stddev);
}
- // Calibrate on the first ~25k pulses (skip a few, just to be sure).
- double calibration_factor = 1.0f;
- if (pulses.size() < SYNC_PULSE_END) {
- fprintf(stderr, "Too few pulses, not calibrating!\n");
- } else {
- double sum = 0.0;
- for (int i = SYNC_PULSE_START; i < SYNC_PULSE_END; ++i) {
- sum += pulses[i].len;
- }
- double mean_length = C64_FREQUENCY * sum / (SYNC_PULSE_END - SYNC_PULSE_START);
- calibration_factor = SYNC_PULSE_LENGTH / mean_length;
- fprintf(stderr, "Calibrated sync pulse length: %.2f -> 380.0 (change %+.2f%%)\n",
- mean_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) {
- double cycles = pulses[i].len * calibration_factor * C64_FREQUENCY;
- if (cycles < SYNC_PULSE_LENGTH / SYNC_TEST_TOLERANCE || cycles > SYNC_PULSE_LENGTH * SYNC_TEST_TOLERANCE) {
- fprintf(stderr, "Sync cycle with upflank at %.6f was detected at %.0f cycles; misdetect?\n",
- pulses[i].time, cycles);
- }
- }
+ double sum = 0.0;
+ for (int i = SYNC_PULSE_START; i < sync_pulse_end; ++i) {
+ sum += pulses[i].len;
+ }
+ double mean_length = C64_FREQUENCY * sum / (sync_pulse_end - SYNC_PULSE_START);
+ double calibration_factor = SYNC_PULSE_LENGTH / mean_length;
+ if (!quiet) {
+ fprintf(stderr, "Calibrated sync pulse length: %.2f -> %.2f (change %+.2f%%)\n",
+ mean_length, SYNC_PULSE_LENGTH, 100.0 * (calibration_factor - 1.0));
+ }
- // Compute the standard deviation (to check for uneven speeds).
- double sum2 = 0.0;
- for (int i = SYNC_PULSE_START; i < SYNC_PULSE_END; ++i) {
- double cycles = pulses[i].len * calibration_factor * C64_FREQUENCY;
- sum2 += (cycles - SYNC_PULSE_LENGTH) * (cycles - SYNC_PULSE_LENGTH);
+ // Check for pulses outside +/- 10% (sign of misdetection).
+ for (int i = SYNC_PULSE_START; i < sync_pulse_end; ++i) {
+ double cycles = pulses[i].len * calibration_factor * C64_FREQUENCY;
+ if (cycles < SYNC_PULSE_LENGTH / SYNC_TEST_TOLERANCE || cycles > SYNC_PULSE_LENGTH * SYNC_TEST_TOLERANCE) {
+ fprintf(stderr, "Sync cycle with downflank at %.6f was detected at %.0f cycles; misdetect?\n",
+ pulses[i].time, cycles);
}
- double stddev = sqrt(sum2 / (SYNC_PULSE_END - SYNC_PULSE_START - 1));
- fprintf(stderr, "Sync pulse length standard deviation: %.2f cycles\n",
- stddev);
}
+ return calibration_factor;
+}
+
+void output_tap(const std::vector<pulse>& pulses, double calibration_factor)
+{
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 upflank at %.6f was detected at %.0f cycles; misdetect?\n",
+ fprintf(stderr, "Cycle with downflank at %.6f was detected at %.0f cycles; misdetect?\n",
pulses[i].time, cycles);
}
if (len <= 255) {
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' },
+ {"output-leveled", 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);
+ }
+ }
+}
+
+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);
+ }
+
+ 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;
+ double last_downflank = -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.
+ 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) {
+ 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);
+#endif
+ i = j;
+ continue;
+ }
+
+ // down-flank!
+ double t = find_zerocrossing(pcm, i - 1) * (1.0 / sample_rate) + crop_start;
+ if (last_downflank > 0) {
+ pulse p;
+ p.time = t;
+ p.len = t - last_downflank;
+ pulses.push_back(p);
+ }
+ last_downflank = t;
+ }
+ last_bit = bit;
+ }
+ return pulses;
+}
+
+void output_cycle_plot(const std::vector<pulse> &pulses, double calibration_factor)
+{
+ FILE *fp = fopen("cycles.plot", "w");
+ 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);
+ }
+ 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]));
+ }
+ 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);
+ }
+}
+
+int main(int argc, char **argv)
+{
+ parse_options(argc, argv);
+
+ make_lanczos_weight_table();
+ std::vector<float> pcm;
+ int sample_rate;
+ if (!read_audio_file(argv[optind], &pcm, &sample_rate)) {
+ exit(1);
+ }
+
+ 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);
+ }
+ }
+
+#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);
+}