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Min/Max delay for Light and Temperature
[android-x86/hardware-intel-libsensors.git] / transform.c
index 7576a29..8b525d1 100644 (file)
@@ -12,6 +12,7 @@
 #include "description.h"
 #include "transform.h"
 #include "utils.h"
+#include "filtering.h"
 
 /*----------------------------------------------------------------------------*/
 
@@ -198,10 +199,10 @@ static void denoise (struct sensor_info_t* si, struct sensors_event_t* data,
         */
 
        int i;
-       float total;
        int f;
        int sampling_rate = (int) si->sampling_rate;
        int history_size;
+       int history_full = 0;
 
        /* Don't denoise anything if we have less than two samples per second */
        if (sampling_rate < 2)
@@ -220,32 +221,43 @@ static void denoise (struct sensor_info_t* si, struct sensors_event_t* data,
                si->history_index = 0;
                si->history = (float*) realloc(si->history,
                                si->history_size * num_fields * sizeof(float));
+               if (si->history) {
+                       si->history_sum = (float*) realloc(si->history_sum,
+                               num_fields * sizeof(float));
+                       if (si->history_sum)
+                               memset(si->history_sum, 0, num_fields * sizeof(float));
+               }
        }
 
-       if (!si->history)
+       if (!si->history || !si->history_sum)
                return; /* Unlikely, but still... */
 
        /* Update initialized samples count */
        if (si->history_entries < si->history_size)
                si->history_entries++;
+       else
+               history_full = 1;
 
-       /* Record new sample */
-       for (f=0; f < num_fields; f++)
-               si->history[si->history_index * num_fields + f] = data->data[f];
-
-       /* Update our rolling index (next evicted cell) */
-       si->history_index = (si->history_index + 1) % si->history_size;
-
-       /* For now simply compute a mobile mean for each field */
+       /* Record new sample and calculate the moving sum */
        for (f=0; f < num_fields; f++) {
-               total = 0;
+               /**
+                * A field is going to be overwritten if
+                * history is full, so decrease the history sum
+                */
+               if (history_full)
+                       si->history_sum[f] -=
+                               si->history[si->history_index * num_fields + f];
 
-               for (i=0; i < si->history_entries; i++)
-                               total += si->history[i * num_fields + f];
+               si->history[si->history_index * num_fields + f] = data->data[f];
+               si->history_sum[f] += data->data[f];
 
-               /* Output filtered data */
-               data->data[f] = total / si->history_entries;
+               /* For now simply compute a mobile mean for each field */
+               /* and output filtered data */
+               data->data[f] = si->history_sum[f] / si->history_entries;
        }
+
+       /* Update our rolling index (next evicted cell) */
+       si->history_index = (si->history_index + 1) % si->history_size;
 }
 
 
@@ -274,9 +286,10 @@ static int finalize_sample_default(int s, struct sensors_event_t* data)
 
                case SENSOR_TYPE_GYROSCOPE:
                case SENSOR_TYPE_GYROSCOPE_UNCALIBRATED:
-                       calibrate_gyro(data, &sensor_info[s]);
+                       if (!(sensor_info[s].quirks & QUIRK_TERSE_DRIVER))
+                               calibrate_gyro(data, &sensor_info[s]);
                        if (sensor_info[s].quirks & QUIRK_NOISY)
-                               denoise(&sensor_info[s], data, 3, 20);
+                               denoise_median(data, &sensor_info[s]);
                        break;
 
                case SENSOR_TYPE_LIGHT: