periodogrampsd#
[f, Sxx] = periodogrampsd(x, fs, WindowName, OutputSmoothSize, dispout)
Description#
Calculate power spectral density using periodogram method
Inputs#
- x
Input data
- fs=2;
Sampling frequency that data collected at in (Hz)
- WindowName=’none’;
- Window name, define if multiplying input data by window function or not (‘none’: not multiplying)‘none’,’rectangular’,’triangular’,’welch’,’hanning’,’hamming’,’gaussian’,’blackman’,’nuttall’,’blackmanharris’
- OutputSmoothSize=0;
- Window size for smoothing calculated spectrum (0, 1 or 2: not smoothing, reports original periodogram)if WindowName=’none’ and OutputSmoothSize>2, then WindowName=’hamming’
- dispout=’no’;
Define to display outputs or not (‘yes’: display, ‘no’: not display)
Outputs#
- f
Frequency in (Hz)
- Sxx
Power spectral density using periodogram method (m^2/Hz)
Examples#
x(:,1)=(0.5.*cos(2*pi*0.2*linspace(0,1023.5,2048))+(-0.1+(0.1-(-0.1))).*rand(1,1024*2));
[f,Sxx]=periodogrampsd(x,2,'none',0,'yes');