MATLAB: How to extract Mean, variance, standard deviation, frequency, maximum amplitude, minimum amplitude and energy from an EEG signal ??

meanSignal Processing Toolboxvariance

please i need to konw how to extract Mean, variance, standard deviation, frequency, maximum amplitude, minimum amplitude and energy from an EEG signal

Best Answer

See https://www.mathworks.com/matlabcentral/answers/329077-error-in-fir1-line-115-wind-chkwindow-wind-l#comment_437333.

Related Solutions

MATLAB: RMS amplitude

I gave an answer today that required an RMS calculation.

http://www.mathworks.com.au/matlabcentral/answers/35658-how-can-i-calculate-the-signal-to-noise-ratio-snr-of-a-signal

You can make a throw-away function for RMS:

RMS = @(x) sqrt(mean(x.^2));

And then to answer your question:

signal = signal / RMS(signal);

MATLAB: Amplitude spectrum

There are a couple things you can do. Let x be your speech signal and fs your sampling frequency. The following two are power estimates.

    plot(psd(spectrum.periodogram,x,'Fs',fs));
If you do not want it in dB:
    psdest = psd(spectrum.periodogram,x,'Fs',fs);
    plot(psdest.Frequencies,psdest.Data);
    xlabel('Hz'); grid on;

Finally, just using fft()

      xdft = fft(x);
      % assume x is even length
      xdft = xdft(1:length(x)/2+1);
      freq = 0:fs/length(x):fs/2;
      plot(freq,abs(xdft));
      xlabel('Hz');

Best Answer

Related Solutions

MATLAB: RMS amplitude

MATLAB: Amplitude spectrum

Related Question