Help understanding FFT plot
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Laura Moylan
on 13 Aug 2016
Commented: Star Strider
on 17 Aug 2016
Hello, I'm hoping someone might be able to help me understand what my plot means. I need to conduct an FFT and PSD for some EEG data. The sample rate is 512 and I am currently using 2 seconds worth of data. I have been given the following code
subplot (2,1,1); plot (F4, 'k'); title ('Original F4 Signal')
duration =2;
samples = 1024; %sample rate 1024Hz for all patients except Patient 2 (512Hz)
samplingInterval = duration/samples;
bandwidth = 70;
time = linspace (0, duration, samples);
freq = linspace (-bandwidth, bandwidth, 1024);
% freq = linspace (-1.0e3, 1.0e3, 500);alternative baseline
fourierSpace = fftshift(ifft(F4));
subplot (2,1,2); plot (freq, abs(fourierSpace),'k'); title ('frequency')
I set the bandwidth at 70 as the high frequency filter was 70 during recording. F4 is simply the name of the channel that I am analysing. All other information in the code is as it was given to me.
When I run the code on the data the plot looks like this:

The PSD code I've been given is
% For EEG
t = linspace (0, 2, 1024);
x = F4;
h = spectrum.periodogram('Rectangular');% Or Blackman-Harris
%h = spectrum.periodogram('Blackman-Harris');% Or Rectangular
hopts = psdopts(h,x); % Default options based on the signal x
set(hopts,'Fs',1/(t(2)-t(1)),'SpectrumType','twosided','CenterDC',true);
psd(h,x,hopts)
The plot comes out like this:

If anyone can help me shed a little light on what all of this means I'd be eternally grateful! Apologies for such basic questions.... I'm very new to this!
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