Примери коришћења Fourier transform на Енглеском и њихови преводи на Српски
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What is a Fourier Transform?
No, this morning I was trying out a Fourier transform.
The Fourier transform is also defined for such a function.
Perform a quantum Fourier transform.
So the Fourier Transform can be seen as a sort of phase coherent sum of all of the STFTs of x(t).
Apply the inverse quantum Fourier transform to the input register.
Let X(f) be the Fourier transform of any function, x(t), whose samples at some interval T(seconds) are equal(or proportional) to the x[n] sequence, i.e. T⋅x(nT)= x[n].
We also note that e- i2πfTn is the Fourier transform of δ(t- nT).
OS 3.0 featured Laplace and Fourier transform, differential equation graphs, financial functions, AP statistics and parameterized 3D graphs.
Take the second term to the other side, Fourier transform and invert in L2.".
The Fourier transform decomposes a function of time into the frequencies that make it up, in a way similar to how a musical chord can be expressed as the frequencies of its constituent notes.
Example of magnitude of the Fourier transform of a bandlimited function.
The runtime bottleneck of Shor's algorithm is quantum modular exponentiation,which is by far slower than the quantum Fourier transform and classical pre-/post-processing.
If f∈ L 1( G),then the Fourier transform is the function f^ on G^ defined by.
Another approach would be to use the quantum Fourier transform(see below).
According to linear response theory, the Fourier transform of K or G describes how the system returns to equilibrium after an external perturbation;
Mathematicians define a quasicrystal as a set of discrete points whose Fourier transform is also a set of discrete points.
For instance, the inverse continuous Fourier transform of both sides of Eq.3 produces the sequence in the form of a modulated Dirac comb function.
When G is the real line R{\displaystyle\mathbb{R}},G^ is also R{\displaystyle\mathbb{R}} and the unitary transform is the Fourier transform on the real line.
The second part finds the period using the quantum Fourier transform, and is responsible for the quantum speedup.
The discrete-time Fourier transform of a discrete set of real or complex numbers x[n], for all integers n, is a Fourier series, which produces a periodic function of a frequency variable.
The function f{\displaystyle f}is Hermitian if and only if the Fourier transform of f{\displaystyle f} is real-valued.
According to the convolution theorem, the Fourier transform of the product of two functions equals the convolution of the two individual Fourier transforms of the two functions.
Which is a periodic function and its equivalent representation as a Fourier series, whose coefficients are T⋅ x(n T).{\displaystyle T\cdot x(nT).} This function is also known as the discrete-time Fourier transform(DTFT) of the sample sequence.
It is more convenient in a linear system to take the Fourier transform and write this relationship as a function of frequency.
The Fourier transform(FT) decomposes a function of time(a signal) into the frequencies that make it up, in a way similar to how a musical chord can be expressed as the frequencies(or pitches) of its constituent notes.
It is more convenient in a linear system to take the Fourier transform and write this relationship as a function of frequency.
Generalized normal distribution Symmetric version Multivariate Laplace distribution Besov measure, a generalisation of the Laplace distribution tofunction spaces Cauchy distribution, also called the"Lorentzian distribution"(the Fourier transform of the Laplace) Characteristic function(probability theory).
It's more convenient in a linear system to choose the Fourier transform and compose this relationship for a function of frequency.
The short-term Fourier transform(STFT), is a Fourier-related transform used to determine the sinusoidal frequency and phase content of local sections of a signal as it changes over time.[1] In practice, the procedure for computing STFTs is to divide a longer time signal into shorter segments of equal length andthen compute the Fourier transform separately on each shorter segment.