Specify the file path to the example signals included with MATLAB®. Create a signal datastore that points to the specified folder.

folder = fullfile(matlabroot,'toolbox','matlab','audiovideo');
sds = signalDatastore(folder,'SampleRateVariableName','Fs');

Get the default number of partitions for the signal datastore.

n = numpartitions(sds)

n = 7

Partition the datastore into the default number of partitions and return the datastore corresponding to the fourth partition.

subsds = partition(sds,n,4);

Use the extractAfter function to display the name of the file contained in the datastore corresponding to the fourth partition.

fName = extractAfter(subsds.Files,'audiovideo\')

fName = 1x1 cell array
    {0x0 char}

Read the data and information about the signal in the datastore corresponding to the fourth partition. Extract the sample rate from info and resample the signal to half the original sample rate. Plot the original and resampled signals.

while hasdata(subsds)
    [data,info] = read(subsds);
    fs = info.SampleRate;
    f_res = 0.5*fs;
    ts = (0:length(data)-1)/fs;
    data_res = resample(data,1,2);
    t_res = (0:length(data_res)-1)/f_res;
    plot(ts,data,t_res,data_res,':')
    xlabel('Time (s)')
    ylabel('Signal')
    legend('Original','Resampled','Location','NorthWest')
end

Specify the path to the example signals included with MATLAB®.

folder = fullfile(matlabroot,'toolbox','matlab','audiovideo');

Create a signal datastore that points to the specified folder.

sds = signalDatastore(folder);

Return an estimate for a reasonable number of partitions for parallel processing, given the current parallel pool.

pool = gcp;

Starting parallel pool (parpool) using the 'local' profile ...
Connected to the parallel pool (number of workers: 12).

n = numpartitions(sds,pool)

n = 7

Partition the signal datastore and read the signal data in each part.

parfor ii = 1:n
    subds = partition(sds,n,ii);
    while hasdata(subds)
        data = read(subds);
    end
end