Hello. I'm currently involved in the project named "LIDAR signal Processing using autocorrelation'. I'm asked to find the spectrum of autocorrelated noisy sinusoidal signal and pulse signals. Help me with the matlab code for this problem.
1 visualizzazione (ultimi 30 giorni)
Mostra commenti meno recenti
close all; clear all; clc; f = 1000; % Hz - Signal Frequency N = 1; % Number of cycles fs = 100000*f; % Hz - Sampling Frequency T = 1/f; % Signal Period t = linspace(0, T*N , N*T*fs); x = sin(2*pi*t/T); noisy_x = x + 0.5*randn(size(x)); subplot(3,1,1); plot(t,x); title('Sine signal'); [y,lags]=xcorr(noisy_x,'coeff'); subplot(3,1,2); plot(t,noisy_x); title('Noisy signal'); l = length(lags); y1 = fftshift(fft(y,l)); my1 = abs(y1)/l; if mod(l,2)==0 f = (-l/2:l/2-1)*fs/l; else f = (-(l-1)/2:(l-1)/2)*fs/l; end display(size(f)); display(size(my1)); subplot(3,1,3); plot(f,my1); title('Autocorrelation spectrum'); grid on; grid minor;
I'm getting the spectrum at the centre only. But, i want it to be present at the particular frequency component.
0 Commenti
Risposte (0)
Vedere anche
Categorie
Scopri di più su Spectral Measurements in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!