MATLAB: How to quickly find the first NaN

Question

Hi all,

I am converting more than 100GB of .ASC CAN BUS data. The algorithm is pretty slow due to the fact there are struct data inside a struct data. Below you will find a basic example of my code. The line that makes it pretty slow is the following because it is looped more than a million of times.

        Pos2Paste=find(isnan(Sigs{iSig2Load(j)}),1);

Is there a faster way to find the first NaN element where I can assign the value found in the struct? Maybe, I can speed up the code in another way?

Thank you in advance.

Best regards

SigNames={'s1','s2','s3','s4','s5'; 'a1','a1','a1','a2','a2'};
MessLength=40;
for i=1:2:MessLength
    messageStruct(i).Name='a1';
    messageStruct(i).Signals.s1=1;
	messageStruct(i).Signals.s2=2;
    messageStruct(i).Signals.s3=3;
end
for i=2:2:MessLength
    messageStruct(i).Name='a2';
	messageStruct(i).Signals.s4=4;
    messageStruct(i).Signals.s5=5;
end
UniqueMessFound=unique({messageStruct.Name});
UniqueMessageCount=countcats(categorical({messageStruct.Name},UniqueMessFound));
for iSig=1:length(SigNames(1,:))
    Sigs{iSig}=NaN(UniqueMessageCount(strcmp(UniqueMessFound,SigNames{2,iSig})),1);
end
for i=1:MessLength
	Sig=fieldnames(messageStruct(i).Signals);
	[~,iSig2Load , iSig]=intersect(SigNames(1,:),Sig);
	Sig2Sel=SigNames(1,iSig2Load);
    for j=1:length(Sig2Sel)
        Pos2Paste=find(isnan(Sigs{iSig2Load(j)}),1);
        Sigs{iSig2Load(j)}(Pos2Paste)=single(messageStruct(i).Signals.(Sig{iSig(j)}));
    end
end

Answer 1

You could adapt https://www.mathworks.com/matlabcentral/fileexchange/24641-vectorized-find-with-first-option to do the nan testing.