Hello I have an EEG dataset loaded into Matlab in Excel format. I want to add a random white noise to the dataset. And I need to convert the output noisy plot again into an excel file. I have attached the Matlab file.
Please suggest me
Thanks

2 commentaires

Kaushik Lakshminarasimhan
Kaushik Lakshminarasimhan le 12 Nov 2017
You already managed to add noise. So you just want to know how to write the output to an Excel file?
dark lion
dark lion le 12 Nov 2017
Nope I am not getting the output of the noisy signal It is showing an error.

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Kaushik Lakshminarasimhan
Kaushik Lakshminarasimhan le 12 Nov 2017

0 votes

I assume you're getting an error in this line:
X = dataset + 2*randn(size(t));
because dataset is an N x 2 array, whereas 2*randn(size(t)) is 1 x N. Also, you don't want to add noise to time. You need to change it to:
X = [time voltage + A*randn(length(t),1)];
A is the variance of noise, you can set A=1 if you wish. Then write to xls using:
xlswrite('noisyEEG.xls',X);
And if you want to plot it:
plot(X(:,1), X(:,2));

4 commentaires

dark lion
dark lion le 12 Nov 2017
Still I am unable to get the plot,
It is showing an error like this Matrix dimensions must agree. Error in EEGnoise (line 8) X = [time voltage + 1*randn(length(t),1)];
i will give you the input excel sheet to get a better idea. I have uploaded the text file since excel the comments section is not accepting excel format
The actual length of the signal is a lot longer than the number you use (L=150). Why do you even need the sampling frequency for this? Just do:
dataset=xlsread('input signal.xlsx','sheet1','A1:B770');
t = dataset(:,1);
V = dataset(:,2);
X = [t V+1*randn(length(V),1)];
xlswrite('noisyEEG.xls',X);
plot(X(:,1), X(:,2));
dark lion
dark lion le 12 Nov 2017
thank you very much for your Help the data which i have provided you is a raw EEG data I have to add some noise to the data and give the time voltage values as an input to my circuit
Thank you very much!!!
Kaushik Lakshminarasimhan
Kaushik Lakshminarasimhan le 12 Nov 2017
Sounds cool. Good luck!

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