Examples of 'weighting function' in a sentence
Meaning of "weighting function"
weighting function: In mathematics or statistics, a function used to assign weights to different variables, factors, or data points in a calculation or analysis
How to use "weighting function" in a sentence
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weighting function
The choice of weighting function will be discussed later.
Some kind of mechanism is desired to adapt the weighting function to the signal.
The weighting function is linked to measured signal strength.
Is the spectral weighting function.
The weighting function is still applied to the whole window.
Calibrating the weighting function.
A weighting function is utilized to reduce the intensity of these areas.
This variation of the spring rate can be accomplished by a corresponding weighting function.
The weighting function is linked to the demodulated signal strength.
It is not therefore necessary to recalculate the weighting function for each new frame.
The weighting function is designed to be suitable for the railway vehicle.
Production sector was significant variable when weighting function parameter gamma acted as dependent variable.
Each weighting function may be a continuous affine function composed of two parts.
A Gaussian kernel is one such exemplary weighting function.
Density weighting function.
See also
If u is a superposition of such waves with weighting function φ, then.
This module determines a weighting function to be applied to the quantizing noise.
For example, the total transmit power can be allocated according to a weighting function.
The weighting function is preferably chosen to match the characteristics and the environment.
The output of the inverse weighting function is then processed by the IDCT.
The weighting function depicts the transformation while the rows below describe a possible scaling operation.
The 64 symbols are then multiplied by a weighting function generated in the receiver.
The weighting function is h, simply shifted by amount n.
In nonparametric statistics, a kernel is a weighting function used in non-parametric estimation techniques.
The weighting function is described by the following equation,.
The causes of the presence of this weighting function are notably the following,.
A weighting function can be used in the block-matching algorithm.
The sensor as claimed in claim 5, wherein the weighting function is an arccosine function.
A typical weighting function is given in figure 6.
Certain problems in machine learning have additional structure than an arbitrary weighting function k { \ displaystyle k.
As above, the weighting function can be tabulated.
However, the magnitude of the parameter estimates was largely independent of the weighting function employed.
Application of a weighting function to at least a sub-band of the second segment ;.
As the ordinate, the transmission value weighted by the blue light hazard weighting function.
As n changes, the weighting function emphasizes different parts of the input function.
For example, the available reverse link capacity can be allocated according to a weighting function.
A weighting function parametered using configuration means 13 is used to make this breakdown.
The nearer the pixel is to the center, the higher the weighting function applied.
Each weighting function can be defined by means of three weighting-function parameters.
To avoid overestimating the interference CoL, the lower bound of this weighting function is crucial.
The weighting function constitutes the so-called impulse response of the filter.
The more advanced signal weighting commonly requires an edge detector, a weighting function generator, and a multiplier.
The weighting function unit calculates a representative value, such as a center of path power.
In one particular embodiment, the threshold A is determined by a weighting function.
FIG . 1 shows a weighting function for determining a confidence index depending on current.
M ( r ) can be any suitable weighting function.
The first weighting function to be considered is known as the Hann ( or Hanning ) function.
Figure 6 ; shows the linear weighting function of the histogram.
The weighting function of FIG . 2 makes it possible to determine a confidence coefficient H dependent on temperature.
The 64 coefficients are then multiplied by a weighting function generated in control processor 48.
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