>> fft([1 4 66])
ans =
71.0000 -34.0000 +53.6936i -34.0000 -53.6936i
Can someone explain according the result above?
>> fft([1 4 66])
ans =
71.0000 -34.0000 +53.6936i -34.0000 -53.6936i
Can someone explain according the result above?
This is a vector of complex numbers representing your signal in frequency domain.
EDIT Well that's embarassing. I left out a factor of 2. Updated answer follows...
The Discrete Fourier Transform, which an FFT algorithm computes quickly, assumes the input data of length N
is one period of a periodic signal. The period is 2*pi rad
. The frequency of the output points is given by 2*n*pi/N rad/sec
, where n
is the index from 0
to N-1
.
For your example, then, 71
is the value at 0 rad/sec
, commonly called DC
, -34+53.7i
is the value at 2*pi/3 rad/sec
, and its conjugate is the value at 4*pi/3 rad/sec
. Note that by periodicity, 2*pi/3 rad/sec = -2*pi/3 rad/sec = 4*pi/3 rad/sec
. So the second half of the spectrum can be regarded as the frequencies from -pi..0
or pi..2*pi
.
If the data represents sampled data at a constant sampling rate, and you know that sampling rate, you can convert rad/sec
to Hz
. Let the sampling rate be deltaT
. Its reciprocal is the sampling frequency Fs
. Then the period is T = N*deltaT sec = 2*pi rad
. 1/T
gives the frequency resolution deltaF = Fs/N Hz
. Therefore the frequency of the output points is n*Fs/N Hz
.