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Matlab and R functions for fft() N-point FFT and dimension issue [closed]

Matlab and R functions for fft() N-point FFT and dimension issue [closed]
  1. How do you take N point FFT in MATLAB?
  2. How does MATLAB calculate N point DFT?
  3. What is N in N point FFT?
  4. What is the FFT function in MATLAB?

How do you take N point FFT in MATLAB?

Y = fft( X , n ) returns the n -point DFT. If no value is specified, Y is the same size as X . If X is a vector and the length of X is less than n , then X is padded with trailing zeros to length n . If X is a vector and the length of X is greater than n , then X is truncated to length n .

How does MATLAB calculate N point DFT?

A second argument to fft specifies a number of points n for the transform, representing DFT length: n = 512; y = fft(x,n); m = abs(y); p = unwrap(angle(y)); f = (0:length(y)-1)*100/length(y); subplot(2,1,1) plot(f,m) title('Magnitude') ax = gca; ax.

What is N in N point FFT?

N is the number of points used to calculate the fft, it does not increase physical resolution but adds more point to the spectrum for more visual resolution, N is arbitrary.

What is the FFT function in MATLAB?

The fft function in MATLABĀ® uses a fast Fourier transform algorithm to compute the Fourier transform of data. Consider a sinusoidal signal x that is a function of time t with frequency components of 15 Hz and 20 Hz. Use a time vector sampled in increments of 1/50 seconds over a period of 10 seconds.

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