Sunday 4 April 2021

Power Spectrum Estimation Part-2

 

PSD Part-2 Notes

Video Lecture Power spectrum Estimation part-2


Matlab Code 

clc

clear

close all

t = 0:0.001:1-0.001;

x = cos(2*pi*100*t)+rand(1,length(t));

xdft = fft(x);

sxxf=abs(xdft).^2;

Fs = 1000;

omega = 0:(2*pi*Fs)/length(x):(2*pi*Fs)-(2*pi*Fs)/length(x);

figure

subplot(2,2,1)

plot(x)

subplot(2,2,2)

plot((periodogram(x)))

subplot(2,2,3)

plot(sxxf)

subplot(2,2,4)

plot(omega(1:length(x)/2+1),abs(xdft(1:length(x)/2+1)))

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