NANCONV computes the convolution for data with missing values. X and Y can contain missing values encoded with NaN. NaN's are skipped, NaN do not result in a NaN output. The output gives NaN only if there are insufficient input data [...] = NANCONV(X,Y); calculates 2-dim convolution between X and Y [C] = NANCONV(X,Y); WARNING: missing values can introduce aliasing - causing unintended results. Moreover, the behavior of bandpass and highpass filters in case of missing values is not fully understood, and might contain some pitfalls. see also: CONV, NANCONV2, NANFFT, NANFILTER
Package: nan