feat(loadtunnel): remove trim from loadtunnel

utils/loadtunnel.m

@@ -2,7 +2,6 @@ function tunnelData = loadtunnel(tunnelFile, cutoff)
     % LOADTUNNEL Load the Wind Tunnel data and clean it.
     %   This function loads the WindTunnel data. Then it:
     %       - applies a low-pass filter to clean the signal
-    %       - trim the instants before the flapping starts
     % -----
     % Output format:
     %   The output array has one row per timestep. The columns are ordered as follows:
@@ -48,12 +47,8 @@ function tunnelData = loadtunnel(tunnelFile, cutoff)
     % Calibrate
     calibrated = calibrate(filtered);
 
-    % Trim
-    trimmed = trim(calibrated, SAMPLING); % TODO
-
     % Return cleaned data
-    tunnelData = trimmed;
-
+    tunnelData = calibrated;
 end
 
 function rawTable = loadcsv(file)
@@ -99,23 +94,3 @@ function filtered = filterwt(raw, cutoff, sampling)
     % Apply filter
     filtered = filtfilt(bb, aa, raw(:, :));
 end
-
-function trimmed = trim(raw, sampling)
-    % TRIM Trim the raw data so they begin when motion is starting
-    %   First we find the peaks in Fz. Then we cut everything up until un time the sampling rate
-    %   before the first peak is found.
-
-    trimmed = raw;
-
-    maximums = max(raw);
-
-    for i = [3, 3 + 6]
-        [peaks{i}, locs{i}] = findpeaks(trimmed(:, i), 'MinPeakHeight', 0.05 * maximums(i));
-    end
-
-    firstPeakLoc = min(locs{3}(1), locs{3 + 6}(1));
-
-    % Trim
-    trimmed(1:max(firstPeakLoc - sampling, 0) + 1) = [];
-
-end