You code will be faster if you omit the useless "clear all", which removed all loaded functions from the memory. Afterwards all functions must be loaded again from the slow disk.
I do not think that your code freezes. Maybe it takes more time than you expect. Insert some output to show the progress.
Calling load without output arguments stores trhe variable in the worksapce. Then you an Matlab cannot know, which variables are existing. This slows down the processing and impedes the debugging. Catch the output instead:
Data = load('Device2_13032021.mat');
measurement = Data.measurement;
L = length(measurement.transient);
for i = 1:L
fprintf('File %d of %d\n', i, L); % Show progress
...
This is a pile of conversions:
dateName = {measurement.transient(i).date}; % Array to cell
date=cell2mat(dateName); % Cell to array
N = date; % New name
T = table(string(N), 'VariableNames', {'Dates'}); % Array to table
S = "12/24/2008 9:59:47 AM.786743640"; % Now you do not use the original data anymore?
D = datetime(S, 'InputFormat','MM/dd/yyyy h:m:s a.SSSSSSSSS'); % String to datetime object
D.Format = 'yyyyMMdd''T''HHmmss''Z'''; % Format change
Date=string(D); % datetime to string
There must by a more direct way.
timeDom = measurement.transient(i).timeDomain; % Without { }
dateName = measurement.transient(i).date; % 12/24/2008 9:59:47 AM.786743640
% Wanted 20130325T004512Z
D = datetime(dateName, 'InputFormat', 'MM/dd/yyyy h:m:s a.SSSSSSSSS', ...
'Format', 'yyyyMMdd''T''HHmmss''Z''')
FileName = fullfile('D:\NasaPrognostic\Device2', "data-" + string(D));
save(FileName, 'timeDom');
end
