static void floor_fit(venc_context_t * venc, floor_t * fc, float * coeffs, int * posts, int samples) { int range = 255 / fc->multiplier + 1; int i; for (i = 0; i < fc->values; i++) { int position = fc->list[fc->list[i].sort].x; int begin = fc->list[fc->list[FFMAX(i-1, 0)].sort].x; int end = fc->list[fc->list[FFMIN(i+1, fc->values - 1)].sort].x; int j; float average = 0; begin = (position + begin) / 2; end = (position + end ) / 2; assert(end <= samples); for (j = begin; j < end; j++) average += fabs(coeffs[j]); average /= end - begin; average /= 32; // MAGIC! for (j = 0; j < range - 1; j++) if (floor1_inverse_db_table[j * fc->multiplier] > average) break; posts[fc->list[i].sort] = j; } }