picking up data file in each iteration

hi every one;

i hope i can find a solution to my probem

i need to analyze 200 speech data files

they are saved in 200 data files .mat (ex: s1018.mat, s1028.mat .....and so on)

i want to analyze all these data files one by one

so how can automatically pick file in every itteration inside for loop ?

thanks

[Fabio Freschi]

have names a particular sequence?

[Stephen23]

https://www.mathworks.com/help/matlab/import_export/process-a-sequence-of-files.html

[tareq ALTALMAS]

i have in my workspace vectors names as follow ( these vectors represent speech data)

s1018

s1028

s1038

s1048

.

.

s1098

i need to perform LPC analysis in each file one by one inside for loop so every itteration the loop will pick a vectr analyze it then save it in feature vector

Answer 1

[Stephen23]

"so how can automatically pick file in every itteration inside for loop ?"

Following the outlines given in the MATLAB documenatation:

https://www.mathworks.com/help/matlab/import_export/process-a-sequence-of-files.html

However, based on your comment here , it appears that unfortunately the data are very badly designed, because the variable names are not the same for all .mat files (contrary to what many beginners think, it is much easier to process multiple .mat files in a loop when their variable names are all exactly the same).

Luckily for you, there is an easy solution if each .mat file contains only one variable, then you can import the file data like this:

D = 'path of the directory where the files are saved';
S = dir(fullfile(D,'*.mat'));
N = numel(S);
for k = 1:N
    T = load(fullfile(D,S(k).name));
    C = struct2cell(T);
    V = C{1}; % your vector
    ... do whatever you want with V
end

Answer 2

[Bob Thompson]

The best way I know how to do this is by listing all of the files using dir, and then looping through the files.

flist = dir('*.mat');

for i = 1:length(flist)
    fi = open(flist(i).name); % Open file
    ...
end

Answer 3

[Fabio Freschi]

Following Stephen link

numFiles = 200;

for k = 1:numfiles
  fileName = sprintf('s%d.mat', 1008+10*k);
  data = load(fileName);
end

Assuming that all files can be reached with 1008+10*k

[Stephen23]

@Fabio Freschi : if you load into an output variable, then you could avoid the issue shown here.

[Fabio Freschi]

you are right, I just forgot to put the output variable! Thanks for pointing out.

Answer edited.

Answer 4

[tareq ALTALMAS]

thanks to all for your comments

the files are in the workspace already

so in every for loop itteration i would pick a .mat for the analysis

in simple

for i = 1

signal = s1018.mat

for i = 2

signal = s1028

and so on

[Fabio Freschi]

What is wrong in the answers provided so far?

[tareq ALTALMAS]

when i implement the signal will be = the name of the mat not the values

signal = cell with the value s1018.mat

i need to ,ake signal = vector has the values inside s1018

[tareq ALTALMAS]

now i understand the method provided above

i think if the file is in the current folder the load can do the work but in my way it is already in the workspace so i cannot use the load

i will try now

[Stephen23]

for i = 1 
signal = s1018.mat
for i = 2 
signal = s1028 
and so on

You call repeating that 200 times "simple" ?

"i think if the file is in the current folder the load can do the work..."

The code I gave does not require the files to be in the current folder.

"... but in my way it is already in the workspace... "

How are you going to write code that accesses those 200 different variables? Loading directly into the workspace will lead to complex code. It will not be a good use of your time.

"...so i cannot use the load"

What on earth is stopping you from using load? MATLAB does not restrict how many times you import data.

"i need to ,ake signal = vector has the values inside s1018"

That is exactly what my answer gives you.

Answer 5

[tareq ALTALMAS]

fs = 8000;
Names = ['s0101';'s0102';'s0103';'s0104';'s0106';'s0108';'s0109';'s0111';'s0112';'s0114';'s0115';'s0116';'s0117';'s0118';'s0121';'s0122';
         's0201';'s0202';'s0203';'s0204';'s0206';'s0208';'s0209';'s0211';'s0212';'s0214';'s0215';'s0216';'s0217';'s0218';'s0221';'s0222';
	 's0301';'s0302';'s0303';'s0304';'s0306';'s0308';'s0309';'s0311';'s0312';'s0314';'s0315';'s0316';'s0317';'s0318';'s0321';'s0322';
	 's0401';'s0402';'s0403';'s0404';'s0406';'s0408';'s0409';'s0411';'s0412';'s0414';'s0415';'s0416';'s0417';'s0418';'s0421';'s0422';
	 's0501';'s0502';'s0503';'s0504';'s0506';'s0508';'s0509';'s0511';'s0512';'s0514';'s0515';'s0516';'s0517';'s0518';'s0521';'s0522';
	 's0601';'s0602';'s0603';'s0604';'s0606';'s0608';'s0609';'s0611';'s0612';'s0614';'s0615';'s0616';'s0617';'s0618';'s0621';'s0622'];
for i=1:32
signal = load('problem_all.mat',Names(i,:));
C = struct2cell(signal);
V=C{1};
Vfilter = v_ssubmmse(V,fs);
vnormal = Vfilter./abs(max(Vfilter ));
[ar1]=v_lpcauto(vnormal ,10,[5 20],'m');
ar1 = mean (ar1);
lpccoff(i,:) = ar1;
lpccoffno1(i,1:10) = ar1(2:11);
label(i,1:2) = sprintf(Names(i,4:5));
end
labelF = cellstr(label)

i did it like that

it works