binary into matlab workspace

2011 11 21
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I have a large number of bin files that I'm converting and importing the data into the matlab workspace into variable X for processing. Data is a column of numbers.
X=convert(i,pwd);
convert is a function which converts binary files in pwd directory and pulls out column i from each file and concatenates and puts into X.
What I'd like to do is
when length(X) = length(files(pwd)/2; or some value set by me
Create X1=convert(i,pwd); <-- but start i where X left off and not from begining of bin file. And so on for X2
So Id like to basically split X into X1 X2 .... which are individually small enough to fit into memory and then process them.
If I could somehow pause the execution and redirect where convert stores data without disturbing anything else.

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Walter Roberson
Walter Roberson 2011-11-21

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Sorry, you are going to have to "disturb" your code interface to handle that. For example, you could have convert() output a second output that was the ftell() value of the place it left off reading, and convert() could take an second input that would be a maximum length, and a third input that would be an fseek() position to start from.
Putting the length constraint to the actual reading should not be difficult; there is an optional size parameter for fread().

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Baba
Baba 2011-11-21
This is my getchan function:
function [DATA] = convert(chan,wd)
% Search for .bin files in the wd directory
DATA=[];
% Loop over every .bin file and build up DATA
for i=1:length(files)
% Make sure we're reading from the wd directory
[d] = readbin (fullfile(wd,files(i).name));
% Append the first column of what we read to DATA
data=(d(:,chan));
DATA=[DATA; data];
end
end
Walter Roberson
Walter Roberson 2011-11-21
Yes, you are definitely going to need to "disturb" that interface. You want to break the data when "number of files divided by 2" *samples* have been read, even though each file might contain thousands of samples. For example if there were 10 files in the directory, you have asked to break after 10/2 = 5 *samples*, which would be like 2048 variables if each of the 10 files contained 1024 samples.

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