MATLAB: Using int64 on a lower bit data class

data classesint64 int32MATLABuint64 uint32

Using int64 to convert from a 32-bit to int64 data class, essentially adding 0 bytes to extend the class.

Apart from extra space being used, are there any other negatives to doing this? I would assume no resolution is lost as all the original data is still stored in the int64 class.

Best Answer

int64() of int32 data just sign extends

int64() of uint32 data just zero extends

uint64() of int32 data would result in 0 for any negative data because of saturation

uint64 of uint32 data would just 0 extend.

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MATLAB: Using int64 for changing the data class

int64(x), where x is is a shorter signed or unsigned integer class, will effectively attach the appropriate number of 0 bytes to positive values and sign extend negative values just like you would expect. int64(x), where x is uint64 will either give you the same bit pattern or overflow into the max bit pattern depending on the value of x. Note that this last case is different behavior from what you will get with C/C++ compilers, where the conversion is typically done in a modulo sense and you get the same bit pattern just reinterpreted as signed (although this behavior is not guaranteed).

MATLAB: Sorting cell array ascending order and changing the values within the cell to positive

Try this:

>> A = {rand(2,3)-0.5,rand(1,3)-0.5,rand(3,3)-0.5};
>> [~,X] = sort(cellfun('size',A,1));
>> B = cellfun(@abs,A(X),'UniformOutput',false);

The cell array A represents your cell array, it contains three numeric arrays, with size Nx3 for N=[1,2,3]. The first cellfun measures the size of the first dimension of each numeric array, these sizes are then sorted into order, returning the sort index. Then the second cellfun sorts the cell array according to this index, and takes the absolute value of the numeric arrays.

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MATLAB: Using int64 for changing the data class

MATLAB: Sorting cell array ascending order and changing the values within the cell to positive

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