Skip to main content

Questions tagged [fast-fourier-transform]

Use this tag for questions related to the fast Fourier transform, an algorithm that samples a signal over a period of time (or space) and divides it into its frequency components.

0 votes
0 answers
8 views

iFFT a Known Transformed Function to Get the Unknown Complex-valued Initial Function

Background: In my case, I need to get the solution of a series of 2D equations. The analytical expression of this solution ($f$) is not available but the transformed one is. Therefore, I need to ...
Duomo Feng's user avatar
1 vote
2 answers
66 views

Given Green's function, can I find the corresponding operator?

Green's function is the solution to the equation $L G(x;x') = \delta(x-x')$, where $L$ is a linear differential operator. Usually, we want to find the Green's function of a given $L$. Instead, if we ...
Sean's user avatar
  • 101
0 votes
0 answers
27 views

Is the product of exponentiated elliptic curve basis elements invariant under FFT of scalars?

I am working with an elliptic curve defined over a finite field $\mathbb{F}_p$ and have a basis set of points ${g_0, g_1, \ldots, g_n}$. When I perform the FFT on these points, I obtain a new basis ${...
Nerses Asaturyan's user avatar
-3 votes
0 answers
20 views

How to prove that discrete sine and cosine waves have zero sum in one period? [closed]

I am trying to prove that ifft of all possible fft of a vector is same vector itself and vice versa, to do that I must prove bellow; So, how can we rigorously prove that: $\sum_{k=0}^{N-1} e^{i2\pi\...
U.AL's user avatar
  • 57
0 votes
0 answers
15 views

Fast Fourier transformation in a lattice $H_{\vec{R}}(m,n,l)$ to $H_{\vec{k}}(a,b,c)$

I have a Hamiltonian defined on a lattice grid $H_{\vec{R}}(m,n,l)$ with $m,n,l \in \mathbb{N}$ and ranging in [-M,M], [-N,N], [-L,L]. Based on the $H_{\vec{R}}(a,b,c)$, a discrete Fourier ...
ljw1121's user avatar
0 votes
0 answers
51 views

How to accelerate calculation of a nested integral

Setup Let $A(t)$ and $B(t)$ be positive functions defined on $t \in [t_1, t_2]$. They are sampled uniformly within this interval, with a timestep of $\Delta t$. Question I want to calculate the ...
Aleksejs Fomins's user avatar
0 votes
0 answers
80 views

The Fourier transform of product of derivatives

I have the task to compute the Fourier transform of the product in matlab: $$ \left( \frac{\partial u(t, x)}{\partial x} \right)^2 \left( \frac{\partial^2 u(t, x)}{\partial x^2 } \right)$$ I was ...
unknown's user avatar
  • 391
1 vote
0 answers
45 views

How to correctly calculate Poisson's equation for electric potential using FFT with zero-padding?

I'm working on a program that simulates the electrostatic field in 3D using FFT to solve Poisson's equations based on the following formulas: $$ \phi_{(k)} = \frac{\rho_{(k)}}{\epsilon_0 \times K^2} $$...
pierniczki's user avatar
0 votes
0 answers
54 views

Inversion formula for discrete sine and cosine transforms

$\newcommand{\wh}[1]{{\widehat{#1}}}$ $\newcommand{\R}{{\mathbb{R}}}$ I am looking for a proof of the inversion formulas for the discrete sine and cosine transforms, i.e. a proof of the fact that ...
Bettina Kraus's user avatar
1 vote
1 answer
35 views

What function can model a decay, whose linear slope smoothly changes around a certain x value.

am a biology student trying to find a fitting function to model the $1/f$ decay or 'aperiodic component' of a neural power spectrum. In an (over)simplified way it can often be describes with the ...
Stav32's user avatar
  • 11
0 votes
0 answers
33 views

Help with understanding Inverse Discrete Fourier transform

I am trying to program a simple implementation of Inverse discrete Fourier transform. I thought I understood, but something in my understanding is obviously lacking since my results are wrong. For a ...
Emil's user avatar
  • 1
1 vote
0 answers
22 views

Discrete Fourier transform for time series with small time-shift measurements

I have a time series that can only take positive integer values in the range [0, 100]. This time series shows periodically recurring patterns which can be uncovered by using the discrete Fourier ...
Radu's user avatar
  • 143
2 votes
2 answers
140 views

Why is the FFT output divided by the data length?

I am working with FFT using NumPy in Python, and I noticed that it's common to divide the output of the np.fft.fft function by the length of the data array. Here's a simplified example of my code: <...
Jihyun's user avatar
  • 267
1 vote
0 answers
38 views

convolution-like computation of bivariate distribution

I would like to optimize code to compute a bivariate distribution like this (for example the bivariate poisson distribution): $f_{n,m} = \sum_{i=0}^{n-1} a_i \times b_{n-i} \times c_{m-i}$ It really ...
S4gaN's user avatar
  • 11
0 votes
1 answer
84 views

Interpretation of the impact of n on the fourier transform of exp(np(w)) or way to simplify expression

My goal is to find $$IFT\{exp(np(\omega)\} = \int_{-\infty}^{\infty} exp(np(\omega) + 2i\pi \omega f) d\omega $$ that is the Fourier transform of $exp(np(\omega))$ Here $n>0 \in {\rm I\!R}$ $p(\...
John Smith's user avatar

15 30 50 per page
1
2 3 4 5
31