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