Examples of 'gaussian function' in a sentence
Meaning of "gaussian function"
Gaussian function: In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the form f(x) = ae^(-b(x-c)^2), where a, b, and c are constants
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- A function of the form f(x)=a· exp (-((x-b)²)/(2c²)) for arbitrary real-number constants a, b and non-zero c; used in statistics, signal processing, etc.
How to use "gaussian function" in a sentence
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gaussian function
Convolution of a vector image by a gaussian function.
The Gaussian function is provided by recursive filtering.
More generally a shifted Gaussian function is defined as.
This Gaussian function is optimal for scale space analysis.
Set here the precision of the Gaussian function.
The equation of a Gaussian function in one dimension is.
Energy of the laser spots are distributed by a Gaussian function.
In this work a Gaussian function is used.
The Gaussian function uses a normal probability distribution curve.
Its general form is a Gaussian function.
A Gaussian function is the wave function of the ground state of the quantum harmonic oscillator.
The function can be a Gaussian function.
The Gaussian function can be a normalized Gaussian function.
The decrease can for instance be determined by a Gaussian function.
The Gaussian function may be a normalized Gaussian function.
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A determined stiffness distribution may additionally be fitted to a Gaussian function.
This is one derivation of the particular Gaussian function used in the normal distribution.
Filtering consists in convolving the first intermediate image with a Gaussian function.
The Gaussian function may be inverted.
Plot of signal intensity versus time fitted with a Gaussian function.
A Gaussian pulse is shaped as a Gaussian function and is produced by a Gaussian filter.
The continuous probability density function of the normal distribution is the Gaussian function.
When minimizing the Gaussian function a initial value for the amplitude A is needed.
The correction function previously described above has the form of a Gaussian function.
The generalized Gaussian function and the Taylor function have shown excellent fitting performance.
The Gabor filter is defined by the product of a cosine wave and a Gaussian function.
Is a Gaussian function such that EPMATHMARKEREP.
Said new weight value can be determined by a Gaussian function within said ellipsoid.
The method according to claim 2, wherein said smoothing filter function is substantially a Gaussian function.
The smoothing filter is typically a weighted Gaussian function defined by FWHM values.
A method according to any preceding claim, wherein the probability density function is a Gaussian function.
The Fourier transform of a Gaussian function is a Gaussian function.
A Laplace function is a special case of a generalized Gaussian function.
This limitation imposed by the gaussian function causes several consequences,.
In multiple dimensions this becomes the Laplacian of a Gaussian function.
Let us take a normalized Gaussian function x defined by,.
Next, the sedimentation distribution function was fitted to a single Gaussian function.
In my opinion, a simple Gaussian function would have sufficed.
In general, its behavior approaches that of a Gaussian function.
Is a centered Gaussian function of power φ s ;.
In general, its behavior approaches that of the Gaussian function.
This function may be a sinusoid, a Gaussian function or a gate function, inter alfa.
The method of claim 4, wherein said smoothing function is a derivative of the Gaussian function.
The feed forward multiplier is a Gaussian function of the pressure ratio ;.
Advantageously, said linear combination of functions also comprises at least one Gaussian function.
Mathematically, the derivatives of the Gaussian function can be represented using Hermite functions.
The probability density function may be any suitable function, for example a Gaussian function.
The corresponding Gaussian function is called G5A.
A method according to claim 1 wherein each said uniquely scaled surround function is a Gaussian function.
The method according to claim 9, wherein each multidimensional Gaussian function is associated with a weighting factor.
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