Curve Fitting for FFT plot

5 Ansichten (letzte 30 Tage)
nur yusof
nur yusof am 6 Jul. 2015
Bearbeitet: arun am 6 Jul. 2015
Hi all,
I have data from accelerometer(time domain) and convert it to fft. Below is my coding and the plot.
%Clear clc;
%For Sampling Rate 512
c= Ch_512_60mss'; Track2=c(1,1:4096); Track1_X_Resolution=(1/512); Fs = (1/Track1_X_Resolution); L=4096;%16385;
% Sampling frequency t =(0:L-1)*1/Fs;% 0:1/Fs:2;
x = Track2; nfft = 2^nextpow2(L); % Next power of 2 from length of y
% Length of FFT % Take fft, padding with ze X = fft(x,nfft); X = X(1:nfft/2);
% Take the magnitude of fft of x mx = abs(X);
% Frequency vector f = (0:nfft/2-1)*Fs/nfft; % f1=fit(t,f,'fourier8');
% Generate the plot figure(1); plot(t,x); title('Sine Wave Signal'); xlabel('Time (s)'); ylabel('Amplitude'); figure(2); plot(f,mx); title('Power Spectrum of a Sine Wave'); xlabel('Frequency(Hz)'); ylabel('Power');
However I need to do the curve fit to the plot. Can somebody share with me the coding.I don't know how to do it.
Thanks a lot.
  1 Kommentar
arun
arun am 6 Jul. 2015
Bearbeitet: arun am 6 Jul. 2015
Fitting only "one curve" for this random data may spoil ur upcoming analysis. U shall try piecewise fit even shat is not good for noisy data.

Melden Sie sich an, um zu kommentieren.

Antworten (0)

Kategorien

Mehr zu Fourier Analysis and Filtering finden Sie in Help Center und File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by