I get an error if I run this matlab code of processing data for Discrete Wavelet Transformation analysis

4 Comments

please post your error message and supply all required data files used in your code
Please attached are the files
Attached the file

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 Accepted Answer

Walter Roberson
Walter Roberson on 19 Jul 2022
You need getmswtfeat from https://www.mathworks.com/matlabcentral/fileexchange/33146-feature-extraction-using-multisignal-wavelet-packet-decomposition

31 Comments

That is what I have but if I run my script. Attached is the error I get
Attached is my get feature script
you appear to load() a file, and use parts of some variables from the file. However we are not told what datatype is in the file.
Based on the error messages we can tell that you are expecting that the mat file contains double precision data, but that instead it has a table() object.
You need to extract data from the table object, or else you need to change the mat file to have double precision data instead of table.
It is as-if you used readtable() to read the data when readmatrix() might possibly have been a better choice. But that depends on whether the file is all numeric or not
Please attached the data in table format
temp = load('John_FaultData0km0ohm.mat');
fieldnames(temp)
ans = 2×1 cell array
{'DataPG0km0hmsFaultData' } {'SteadyStateNoneFaultState'}
temp.DataPG0km0hmsFaultData(1:5,:)
ans = 5×2 table
Time DataPG0km0hmsFaultData ______ ______________________ 19.8 0.00030982 19.801 0.00030954 19.802 0.00030947 19.803 0.00031002 19.804 0.00030967
temp.SteadyStateNoneFaultState(1:5,:)
ans = 5×2 table
Time SteadyStateNoneFaultState _______ _________________________ 0 0 0.00099 6.4183e-09 0.00198 2.0619e-07 0.00297 1.0102e-06 0.00396 2.7701e-06
I do not know what you want to do with the features extracted.
Note that there is a theoretical fault in the code. You remove data that has nan, but you do not take into account that that leaves a hole in the timing. You never use the timing information.
In practice the only nan is at the very last entry in the SteadyState, so removing it makes no timing difference for this data.
%% load the data first
load('John_FaultData0km0ohm.mat')
%% does this signal has any NaNs, if so remove
SteadyStateNoneFaultState = rmmissing(SteadyStateNoneFaultState);
DataPG0km0hmsFaultData = rmmissing(DataPG0km0hmsFaultData);
SSTime = SteadyStateNoneFaultState.Time;
SSNFS = SteadyStateNoneFaultState.SteadyStateNoneFaultState;
DPTime = DataPG0km0hmsFaultData.Time;
DPFD = DataPG0km0hmsFaultData.DataPG0km0hmsFaultData;
%% Define the filtering and inspect
n = 8; %% defines window length
w = [-ones(n,1); ones(n,1)];
SSNFS = filter(w, n, SSNFS);
DPFD = filter(w, n, DPFD);
%% Normalize signals
med_training = prctile(SSNFS,50);
iqr_training = iqr(SSNFS);
SSNFS = (SSNFS-med_training)./iqr_training;
med_fault = prctile(DPFD,50);
iqr_fault = iqr(DPFD);
DPFD = (DPFD-med_fault)./iqr_fault;
% Plot & Observe the data
subplot(2,1,1)
plot(DPTime, DPFD)
title('filtered DataPG0km0hmsFaultData')
subplot(2,1,2)
plot(SSTime, SSNFS)
title('filtered SteadyStateNoneFaultState')
%% Let's observe the FFT power spectrum for differences
feat_fault = getmswtfeat(DPFD,32,16,100000);
feat_Good = getmswtfeat(SSNFS,32,16,100000);
Walter, thank you so much for debugging
Walter, could you also debug the errors on this script.
Walter you are a Guru and super consultant in MATLAB. the script in data proicessing runs perfectly. The only script now that requires debugging is getmsfeat.m. After that I will be squared away
The getsmsfeat.m is the Discrete Wavelet Transform Decomposition script using different mother wavelets( Daubechies, Symlets, Coiflets,etc)
What error are you seeing? Earlier when I ran your code after fixing the other problems, the only problem that I had with the feature extraction that you posted earlier, was that the code needed Wavelet Toolbox. When I installed that, it ran to completion. If it runs without error but does not produce the output you want then you will need to be specific about what I should be looking for.
I will see if I can re-install my Wavelet ToolBox
Walter, please attached is the error I have getsfeature
I have attached the script again
MATLAB would have stopped after a single error, not continued to tell you about all the different problems encountered in getmswtfeat .
I do not have any problems on my system when I run the processdata that I posted.
Which MATLAB release are you using?
That error you are getting about nargin would only apply if somehow your getmswtfeat is a script instead of a function. What you attached is a function. You should
which -all getmswtfeat
to check in case somehow you have an additional getmswtfeat that is interfering.
Walter, Good day, from the attached, for an 8 level deocmposition for daubechies 2, I am expecting 9 features from column 1 through column 9. In the columns are these the detailed coefficients from column 1 through 8 and the column 9 should be the approximate. Are these entropies or detailed coefficients?
Those are entropies.
feature_out = zeros(numwin,(J+1)*Nsignals);
tab_entropy(:,k) = -sum(prob.*log(prob),2);%./size(percentENER(:,st:en),2);
feature_out(:,(1:((J+1)))+(dims-1)*(J+1)) =tab_entropy;
feature_out is not written to anywhere else, and tab_entropy is not written to anywhere else (other than pre-allocation with zeros)
Walter, it looks like the column one is the detailed coefficients and the plots is the entropy. Just checking if that is true. Also if I am looking for the highest detailed coefficients I can see negative and positive number the column, which one is the highest.
Line 51: feature_out = zeros(numwin,(J+1)*Nsignals);
Line 97: tab_entropy = zeros(numOfSIGs,level+1);
Line 110: tab_entropy(:,k) = -sum(prob.*log(prob),2);%./size(percentENER(:,st:en),2);
Line 114: feature_out(:,(1:((J+1)))+(dims-1)*(J+1)) =tab_entropy;
Those are the only lines that write to feature_out or tab_entropy that are not commented out. You can see that column 1 of tab_entropy is not written to differently than the other columns, and you can see that nothing other than tab_entropy is written into feature_out (other than the initial zeros.)
Therefore, column 1 of the output is an entropy, not a detailed coefficient.
Walt, please could you look into this attached error. My last simulation run perfectly and I changed the data to process another data and feature fault was given me an error.
Also for the feature out code if I want to add a script for tab detailed coefficients juts like tab entropy how do I do that
Walter, I was able to resolve the error. could you send me a script line for tab calculating Detailed Coefficients
I do not know how to calculate detailed coefficients.
Also if you have a script for tabing Detailed coefficient you can send it to me
As I do not have any script for that purpose, should I be arranging to send you the lack of script, or should I be arranging to not send you the script that I do not have?
Walter, please could you look into this error. The script is for calculating the detailed coefficients using Matlab Discrete Wavelet Transform
plot(DataPG0km5hmsFaultData, 'Time', 'DataPG0km5hmsFaultData')
As I reported to you in https://www.mathworks.com/matlabcentral/answers/1763300-error-with-data-processing#comment_2278845 your very last entry in your data is NaN. wavedec() cannot handle NaN, so you need to filter your input before calling wavedec() ... like I showed in that comment.
Walter, Thank you it worked. I have been able to add a single line script that will remove the NANs
Walt, a quick question. I am processing another script with a signal that I added Gaussian Noise to mimic the intrusion of lightning and switchig disturbance during the fault condition signal. and attached is the error I got. Please could you look into it at your convenience
The code before the error line does not define any variable named signal but it does define a variable named signals
Thanks walt

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More Answers (1)

John Amoo-Otoo
John Amoo-Otoo on 20 Jul 2022
Jonas, please attached is my error for data pocessing

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