diff --git a/matlab/normalized_xcorr.m b/matlab/normalized_xcorr.m
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+%% Computes the normalized cross correlation of two vectors
+% Used https://www.researchgate.net/post/How-can-one-calculate-normalized-cross-correlation-between-two-arrays
+% as the reference for this implementation
+function [score] = normalized_xcorr(window_one, window_two)
+    assert(length(window_one) == length(window_two), "Windows must be equal length");
+    assert(isrow(window_one) || iscolumn(window_one), "Windows must be row/column vectors");
+    assert(isrow(window_two) || iscolumn(window_two), "Windows must be row/column vectors");
+
+    % Make both windows zero mean
+    window_one = window_one - mean(window_one);
+    window_two = window_two - mean(window_two);
+    
+    % Cross correlate and get the average
+    xcorr_value = sum(window_one .* conj(window_two)) / length(window_one);
+
+    % Final step in normalization
+    score = xcorr_value / sqrt(var(window_one) * var(window_two));
+end
+