Exact computation:

Precision of the input is preserved:

Resizing a symbolic array:

Resample a subdomain of the input signal:

With size specified as a scalar, output dimension is selected such that dimension ratio is preserved:

By default, the "Point" sampling scheme is used:

Use the "Bin" scheme, which uses center alignment by default:

Specify the alignment of the bins:

Generate a "Point" resampling with three times the input resolution:

Compute the sampling positions:

When downsampling, by default no antialiasing is happening:

With antialiasing, all samples that fall in between new samples are averaged:

DataRange specifies the domain of resampling. Subrange specification is defined with respect to this domain:

Resample the whole data:

Resample the first half using default DataRange->{1,n}, where n is the length of data:

Resample the first half of the data using a {0,1} data range:

The default padding value is "Fixed":

Specify a different padding:

By default, the same padding is used for all dimensions:

Use different paddings for different dimensions:

By default, "Linear" resampling is used:

Use a different resampling scheme:

"Nearest" resampling averages the samples if the sampling position is halfway between samples:

Use "NearestLeft" or "NearestRight" for a bias to left or right for half-integer sampling positions: