Why does resample lose values when applied to vector with NaN's?
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I am resampling a vector with a few final values equal to NaN. The output of resample.m is shorter than expected. Could somebody explain why this happens? According to MATLAB manual , NaN's should be safely ignored.
Here's the code that reproduces the problem:
test = [randn(80,1); nan(20,1)];
resampled = resample(test,1,3);
figure, plot(test,'b')
hold on, plot(1:3:100,resampled,'r')
downsampled = downsample(test,3);
hold on, plot(1:3:100,downsampled,'k')
and the figure:

Note that "downsample" doesn't have this problem.
resample.m and firls.m are the ones provided by MATLAB:
which resample
C:\Program Files\MATLAB\R2014b\toolbox\signal\signal\resample.m
which firls
C:\Program Files\MATLAB\R2014b\toolbox\signal\signal\firls.m
Thank you!
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Antworten (1)
Akira Agata
am 10 Mai 2018
The function downsample decreases the sampling rate by extracting every n-th sample. On the other hand, resample applies an antialiasing FIR filter when changing the sampling rate. That's the reason why outputs of these function differ each other.
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