A fast Fourier transform (FFT) is an algorithm that computes the discrete Fourier transform (DFT) of a sequence, or its inverse (IDFT). Fourier analysis converts a signal from its original domain (often time or space) to a representation in the frequency domain and vice versa. The DFT is obtained by decomposing a sequence of values into components of different frequencies. This operation is useful in many fields, but computing it directly from the definition is often too slow to be practical. An FFT rapidly computes such transformations by factorizing the DFT matrix into a product of sparse (mostly zero) factors. As a result, it manages to reduce the complexity of computing the DFT from
O
(
N
2
)
{\displaystyle O\left(N^{2}\right)}
, which arises if one simply applies the definition of DFT, to
O
(
N
log
N
)
{\displaystyle O(N\log N)}
, where
N
{\displaystyle N}
is the data size. The difference in speed can be enormous, especially for long data sets where N may be in the thousands or millions. In the presence of round-off error, many FFT algorithms are much more accurate than evaluating the DFT definition directly or indirectly. There are many different FFT algorithms based on a wide range of published theories, from simple complex-number arithmetic to group theory and number theory.
Fast Fourier transforms are widely used for applications in engineering, music, science, and mathematics. The basic ideas were popularized in 1965, but some algorithms had been derived as early as 1805. In 1994, Gilbert Strang described the FFT as "the most important numerical algorithm of our lifetime", and it was included in Top 10 Algorithms of 20th Century by the IEEE magazine Computing in Science & Engineering.The best-known FFT algorithms depend upon the factorization of N, but there are FFTs with O(N log N) complexity for all N, even for prime N. Many FFT algorithms depend only on the fact that
e
−
2
π
i
/
N
{\displaystyle e^{-2\pi i/N}}
is an N-th primitive root of unity, and thus can be applied to analogous transforms over any finite field, such as number-theoretic transforms. Since the inverse DFT is the same as the DFT, but with the opposite sign in the exponent and a 1/N factor, any FFT algorithm can easily be adapted for it.
Background:
https://sccn.ucsd.edu/eeglab/index.php
"EEGLAB is an interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related...
Hi, the following plots the waveforms and the FFT of a signal (one channel only):
signal = data; %assuming data was loaded first
Fs = 4800; % Sampling frequency
T = 1/Fs; % Sampling period
L = size(signal, 1); % Length of signal
t = (0:L-1)*T; % Time vector
X = double(signal)...
Hi I have some questions about the following:
1. It is an FFT spectrum analysis output from the Sigview software. First. The large peak at 60Hz is AC interference on air (maybe capacitive coupling) as the amplifier is completely battery operated. How come there are no 120 Hz, 180Hz, 240Hz...
Hello everyone,
maybe some of you know the formula for the number of multiplications in the FFT algorithm. This is again given as ##N/2 \cdot log(N)##. Why is that so? Can you really "prove" this?
I can only deduce this from what I know, because we have ##log(N)## levels and ##N/2##...
Hello All,
I am somewhat familiar with FFT and iFFT and its uses.
However I have an issue when I edit in Freq domain and try to get back to time domain .
I have an audio signal in time domain that I transform to frequency domain using an FFT routine in block sizes of N points.
(in my case 256...
I was trying to incorporate this lab into the course, but when I try using a tuning fork on the FFT/Spectrum Analyzer app I can't get a well defined frequency reading. I tried doing the same thing on an opensource FFT app and had the same issue. I am thinking most laptop microphones these days...
if you watch this Video :
The Julia Programming Language
at time marker 28:00, You will see that Grant takes an FFT of an Image.
In order to do a FFT, you need to know the sampling rate, but what is the sampling rate of one image?
And what if your image is not size 2^N ? Does the program just...
I have video data that shows an object moving up and down. I'd like to extract the frequency the object moves. Following the given example here (scroll down to "Examples"), am I correct in assuming Fs would be camera frame rate and L would be the total number of frames?
Thanks so much!
This is an introductory video for my class on data driven methods in dynamical systems theory. We will cover topics including SVDs, FFTs, DMD, PCA, and many other acronyms.
I am trying to simulate and process the Doppler signals. My main problem is a little more complex so I am only posting a simple version of it. Task1: I have a time-domain signal with the velocity of the target as mu. I need to change the velocity to mu cos(theta) where theta is a vector from 0...
I am trying to understand why the conjugate of a signal in the time domain doesn't produce an exact flip of the frequency domain spectrum. There is always a one-pixel shift in the result.
The MATLAB code is shown below. I use a flip for the conjugate spectrum to show that it doesn't match the...
The problem I am having is simple. I have a Gaussian spectrum initially. Like this,
Process 1:
S = m0/sqrt(2*pi*sigma^2) * exp(-(vel_axis - mu).^2/(2*sigma^2));
Here, mu is the mean velocity (frequency) and sigma is the standard deviation. vel_axis is the axis on which I am calculating this...
I have a question related to linearity of power spectral density calculation.
Suppose I have a time series, divided into some epochs. If I compute PSD by Welch's method with a time window equal to the length of an epoch and without any overlap, I obtain this result:
If I calculate the...
When considering the forward FFT of a mathematical function sampled at times ##t = 0, \Delta, \ldots, (N-1) \Delta##, following the usual convention, we have something like
$$
H(f) = \int_{-\infty}^{+\infty} h(t) e^{-2 \pi i f t} dt \quad \Rightarrow \quad H_k = \sum_{n=0}^{N-1} h_n e^{-2 \pi i...
Hi guys,
for a project I had to get involved with discrete Fourier transforms to solve PDEs.
However, the code that I implemented according to a pseudo-code from a paper did not work - it seems like I calculated integrals incorrectly.
To search the error, I tried to integrate the sin(x)...
Summary: Should both envelope detection and windowing+overlapping be used before FFT?
Summary: Should both envelope detection and windowing+overlapping be used before FFT?
Hi everyone!
I'm somewhat a newbie to signal analysis, but I've also noticed that there seem to be many different...
Homework Statement
I am suppose to write a program that compares the FFT (Fast Fourier Transform Diagrams) of a sampled signal without the use of a window function and with it. The window function should be as long as the signal and the signal should have N points, N chosen as to not cause...
I have seen one lecturer solve a PDE with just using Fast Fourier Transform (##FFT##) of a function ##v## on a chebychev grid. ##v_t=\mu v_x##
This lecturer uses ##FFT## on ##V##, then solves the ODE using an ODE solver in Matlab, then inverse ##FFT## to get the real solution ...
Hi all,
I'm trying to simulate the Fresnel diffraction by using this expersion :
$$ A(x')=\frac{1}{j\lambda z}e^{jk(z+\frac{x'^2}{2z})}F(A^{trans}(x)e^{jk\frac{x^2}{2z}})_{u=\frac{x'}{\lambda z}} $$
So when I use this formula my problem is that I don't know how to take the good frequency, here...
I am trying to estimate the amplitude of a real signal with a particular frequency and unknown phase. The signal is sampled at a frequency much higher than the Nyquist frequency for the signal. For simplicity, I take an FFT period which is a multiple of the signal period (which conveniently is a...
Hello,
For calculating the mean power at a specific cross section of a waveguide, one can calculate the mean value of the temporal function of Poynting Vector, P(t), where P(t) is the ExHy-EyHx. Note that I am not talking about phasors or a sinusoidal state. If I integrate over the waveguide...
Hello,
Thank you for taking time to read my post.
I have a discrete set of data points that represent an acceleration signal. I want to take the integral of this set of points twice so as to get a function which represents the position over time.
To accomplish this, I have taken the FFT of the...
Hello,
Thank you for taking time to read my post.
Background: I have a accelerometer project that I am playing with that gives me the acceleration of the object. I can plot this data and it looks very nice. I want to integrate this to get the velocity and then integrate it again to get the...
Multiplying big numbers is a very common application of the FFT, and as such, there are many papers on the subject available online.
However, these papers all use sophisticated algorithms where a simple one seems to work. My question is, what's wrong with the simple algorithm:
Multiplication...
I have a baseband signal in IQ form. I have a method to calculate the carrier offset and estimate the carrier bin. I want to center the carrier to the middle of the bandwidth. How do I do so? Do I simply multiply the IQ data by the exponential with the carrier offset, but doesn't that shift the...
Hi, I am trying to determine the final image on a detector having a 600x600 mm viewed object and the known MTF of a lens. So when I FFT the object, thus creating frequencies -128/600 : 128/600 for a 256x256 image, how does the multiplication of the transformed object and the MTF "keep track" of...
Hello All,
Briefly on the exposition; I'm an undergraduate assistant to a professor. We contribute to the Muon g-2 experiment in Fermilab, designing and optimizing the magnetic-measurement equipment. As you might imagine I utilize the Fourier Transform often to analyze data. The data I'm...
So a little bit of background: I work in an undergraduate lab at UMass Amherst and am currently building/optimizing a faraday magnetometer for use in the Muon g-2 experiment at Fermilab. The magnetometer works as follows. A laser is shone through a crystal with a particular Verdet Constant at...
I am trying to do Fast Fourier Transform on some data recorded from RTL SDR. I managed to write a program that does that, but the problem is this. This is final result as it should look
And this is my result
It may be hard to understand this, I'll try to explain. My graph is done using 5000...
I have input data from a pressure sensor:https://physicsforums-bernhardtmediall.netdna-ssl.com/data/attachments/93/93464-7e84f120a9323e7d16b7dfa59c069739.jpg
We run this into an FFT and found that the max point is at
3.3378Hz. So we did a Digital band pass Filter for 3.3Hz - 3.6Hz.
and then...
Hello. I'm looking for a "simple" FFT processor able to process an 8 bits input in an array of at least 512 pts with a speed of at least 20 MHz. I've precised "simple" instead of certain TI DSP with up to 196 pins ! I only need FFT nothing else. Does it exist ? Thanks by advance for replies.
I'm doing a physics experiment for school, for which I am measuring the reverb time for specific frequencies in a room. What I did was record a 1000 Hz sound, and some time after it, and looked at its FFT on Audacity to see the intensity of just 1000 Hz at a given time. Manually, I can do this...
EDIT: Sorry. It's FFT - Fast Fourier Transform, not FTT.
I am interested in doing some amateur radio astronomy. Mainly at 1420MHz, hydrogen line. I have a RTL SDR stick. For those who don't know what that is, it's USB DVB-T receiver that can receive anything between 24 – 1766 MHz.
Now, there...
for (int n = 0; n < 52920; n++){
F = Amplitude * sin(2 *pi*n* Frequency/44100) ;
}
what are the units of Amplitude ?
I know Frequency is in Hz
also what are the unit of F?
1) How many stages are in N numbers for a FFT? I know N=8 has 3 stages and N=4 has 2 stages ?
2) The DFT formula converts a signal from the time domain into the frequency domain. Is this done by comparing x[n] against signals known as sinusoidal basis functions? are e-j2 pi kn/N sinusoidal...
I am trying to use Kepler Data for Eclipsing Binaries to estimate time period, and then other parameters such as mass, eccentricity, semi-major axis, distance, etc. of the binary systems. I want to write code in MATLAB which will use FFT to find the time period. The available data has the...
Hello all,
First time poster here so please excuse any mistakes as I'm unfamiliar with the conventions of this forum. Also before I get started I'd like to say I wasn't sure exactly where a question like this would go; I debated in the Math Programs and Latex section but figured general physics...
Hello everyone, I'm trying to solve by FFT a convection diffusion eqaution on a 3 D box with an slit condition on z-axix and periodic conditions on x and y axis.
∂C/∂t=D∇[2]C-v⋅∇C (1)
v=vx + vy + vz
i have solved the velocity of fluid, i mean a really know what is the velocity of flow field...
I am trying to solve the poisson equation with neumann BC's in a 2D cartesian geometry as part of a Navier-Stokes solver routine and was hoping for some help.
I am using a fast Fourier transform in the x direction and a finite difference scheme in the y. This means the poisson equation becomes...
Does anyone know if it is possible to solve an equation of the type
u_x=(sin(x))*(u)
on a periodic domain using the fft.
I have tried methods using convolutions but have had no success
thanks in advance
I am looking for a 2D fft that takes in a 2D array of heights and does a fft in c on the array. I would like if the code was capable of working with big arrays, such as 8192 x 8192 I have tried the paulbourke and sanfoundry websites. The first was not giving me the output that is expected and...
I have a complex signal eg: cos(wt + phase1) + i*cos(wt + phase2)
the frequency of both the waves is same. When i have a look at the phase spectrum of the above signal, i am not able to interpret the phase values. They are making no sense. I tried to determine phase shift for real signals and...
Hi there,
I've recently been doing some studying into time-frequency analysis. I've covered some of the basic materials regarding the Short-Time Fourier Transform (STFT) along with the concepts of temporal and frequency resolution (along with the uncertainty principle of course).
I've now...
I have non-uniformly sampled transfer function data (magnitude only) in the range of 100kHz and 200MHz. Using this transfer function, I would like to calculate output from specific input.
Question :
To obtain phase of the transfer function from the magnitude data, I am trying to use Hilbert...
Hi guys,
I have functioning MATLAB code for my solution of the 3D Diffusion equation (using a 3D Fourier transform and Crank-Nicolsen) that runs just from the command window and automatically plots the results. However, it seems like my solution just decays to zero regardless of what initial...
Presently there is a gear whine noise issue in a vehicle transmission. Our NVH team captured the noise signal using a microphone and then did an FFT of the signal and gave us a frequency plot. What exactly can I take out of it?
Can I assume every harmonic belongs to a noise generated by a gear...
Dear all,
I don't know if this is the correct place for this question, but I did a little search on the forum and I saw that most FFT related questions have been posted here.
My question is this: I need to deconvolve two real signals (in my case they are two probability density functions), so I...
I am working in a group for designing a LED interactive Screen. My part of the project is the design of the music visualization system. I am new in this area, but I know I need to use some op-amps to filter the input signal from the mp3 player.
Could anyone give me any suggestions on how to...