Files
Dirigent/matlab/findFalseDetectedPeaks.m

55 lines
2.3 KiB
Matlab

%TODO: Find false detected peaks. This could be a not detected or an additional detected peak. Simple algorithm:
% 1) Choose smallest diff(peaks) value smallest_peak (e.g. 48, 97, 49, [45], ..)
% 2) Divide all diff_peaks values with smallest_peak to get factor_peaks (e.g. 1.1, 1.8, 1.2, 1, ..) and to whole numbers (e.g. 1, [2], 1, 1, ..)
% 3) Divide diff_peaks / factor_peaks and split (e.g. 48, [48.5, 48.5], 49, 45, ..) diff_peaks_new
% 4) Start at first peak and cumsum the correlation values at the lag positions given by diff_peaks_new to sum_peaks_new and sum_peaks for diff_peaks
% 5) If sum_diff_new > sum_diff finish, else remove smallest_peak from diff(peaks) and goto 1)
function idx = findFalseDetectedPeaks(idx_orig, lag_orig, corr_orig)
idx = idx_orig;
while 1
%1
diff_peaks = diff(lag_orig(idx_orig));
[smallest_peak, smallest_peak_idx] = min(diff_peaks);
%2
factor_peaks = round(diff_peaks / smallest_peak);
%3
%factor_matrix = [1:length(factor_peaks); factor_peaks]; %we need this since octave doesn't have a repelem only repelemS.
%diff_peaks_new = repelems(diff_peaks ./ factor_peaks, factor_matrix);
if(diff_peaks > 1)
diff_peaks_new = repelem(diff_peaks ./ factor_peaks, factor_peaks);
else
break;
end
%4
idx_new = round([idx_orig(1), cumsum(diff_peaks_new) + idx_orig(1)]');
sum_peaks_new = sum(corr_orig(idx_new));
sum_peaks = sum(corr_orig(idx_orig));
%5
if(sum_peaks_new < sum_peaks)
% TODO: idx + 1 is not always the correct one. if diff is very
% small, the false peak could be left or right from the real peak.
% Solution: Remove peak with lowest correlation value in
% this area
if(corr_orig(idx_orig(smallest_peak_idx)) > corr_orig(idx_orig(smallest_peak_idx + 1)))
idx_orig(smallest_peak_idx + 1) = [];
else
idx_orig(smallest_peak_idx) = [];
end
else
idx = idx_new;
end
if (sum_peaks_new >= sum_peaks || length(idx_orig) <= 1)
break;
end
%TODO: Warning: could this be an infinite loop?
end
end