ind = 2x3 logical array 0 1 1 0 1 0 Now that you know the locations of the elements meeting the condition, you can inspect the individual values using ind as the index array. MATLAB matches the locations of the value 1 in ind to the corresponding elements of A and B, and lists ...
MATLAB Online で開く To Matt H, If you want to fill the value with nan (or zero, just replace the nan with 0 in below code) when no member of the row matches, you could use this: % This array has no element meet the % threshold in the third row. ...
Now the expressionA(A > 12) extracts the matrix elements corresponding to the nonzero values of the logical array. The output is always in the form of a column vector. A(A > 12) ans = 16 14 15 13 Many MATLAB functions that start withisreturn logical arrays and are very useful for...
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3×3 logical array 0 0 0 0 1 1 0 0 0 B(nan_locations) ans = NaN NaN B(nan_locations) = 0 B = 0.0292 0.4886 0.4588 0.9289 0 0 0.7303 0.2373 0.5468 Functions in the Image Processing Toolbox, as well as the MATLAB functionsimreadandimwrite, follow the convention that logical matrices...
I want to find array idx1, which is the values of array idx such that S(idx1) == j. Example: Suppose ThemeCopy idx=[2 3 4 6 7 9 10 11], S=[1 1 1 1 2 2 3 3 3 4 4 4 4] When j=1, I want idx1=[2 3 4]; when j=2, I want idx1=[6]; when j=3, I want...
Arrays in MATLAB are N-dimensional, with an infinite number of trailing singleton dimensions. Trailing singleton dimensions past the second are not displayed or reported on, e.g., withsize. No array has fewer than two dimensions. Empty arrays are the logical extension of general arrays but have...
else ABC(i)=AB2(i). As an end-result I want five different 3D matrices ("ABC1", "ABC2"..."ABC5"), one for each value in C. In order to use vectorization I could repeat the 3D matrices ("AB1" and "AB2") and the 1D array ("D") 5 times using repmat and repeat the 1D ...
MATLAB Online에서 열기 Ran in: a work around if you insist on oneline 테마복사 a(1).x.y=1 a = struct with fields: x: [1×1 struct] a(2).x.y=2 a = 1×2 struct array with fields: x axy = [struct([a.x]).y] ...
If period has the value 'hour'/'day'/'month', then all measurements recorded within the same hour/day/month are combined (summed), M is equal to the number of distinct hours/days/months during which measurements were recorded, and the rows of tvec_a identify the beginning of the M time...