Examples of 'quantization error' in a sentence
Meaning of "quantization error"
quantization error - This phrase is a technical term used in signal processing and data compression. It refers to the difference between the original analog signal and its quantized representation, which may lead to inaccuracies or loss of information during the conversion process
How to use "quantization error" in a sentence
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quantization error
This error is also called quantization error.
This quantization error spreads over the block.
This process introduces quantization error noise.
Typically quantization error is caused during acquisition of data.
This failure is called quantization error.
A quantization error is defined as a difference value of two rotation transformations.
This represents the quantization error for a node.
The same is true of discretization error and quantization error.
Noise and quantization error.
The variable ramp is thus likely to generate a quantization error.
This rotation reduces quantization error for tracking mode.
The radius of the ring can be dynamically adjusted to reduce quantization error.
But the quantization error still remains however rather substantial.
This is a form of quantization error.
This quantization error is due to the choice of the sequence of the different bits.
See also
Gain trades off dynamic range and quantization error.
The quantization error in the quantized domain differs from other forms of quantization error.
Noise shaping works by putting the quantization error in a feedback loop.
The noise level is calculated in the quantized domain based on the average quantization error.
This results in a constant relative quantization error leading to a perceptually uniform representation of the luminance.
The time entries used are subject to a resolution requirement to account for digital quantization error.
That way we minimize the quantization error and therefore reduce the quantization noise.
This is a form of quantization and yields substantial quantization error if N is not large.
The quantization error is the sum of the terms,.
The filter length is a compromise between quantization error and response time.
Hence, the quantization error in samples preceding transients can be very high.
This algorithm performs dithering by diffusing the quantization error of a pixel to its neighbors.
If the quantization error is too large, the encoded speech quality may be degraded.
This has the effect of minimizing any quantization error when merging two nodes together.
For simplicity, much of the following description assumes no quantization error.
The matrix Ĥ eff includes a quantization error compared to the real channel.
And, it may be efficient in aspect of balance of quantization error.
However, the average quantization error is increased.
These values may contain errors, especially a quantization error.
In other words, the quantization error must be optimally reduced.
In other words, the reconstructed prediction error includes a quantization error.
It has been found that a quantization error in the order of π/8 radians is acceptable.
In other words, the reconstructed prediction error contains a quantization error.
As a result of this processing, the quantization error is diffused to a neighboring pixel.
This non-negligible error should however be compared with the quantization error itself.
To tackle such problem, the quantization error is initially modeled as an external noise.
Also, using the data, the visual distortion of a quantization error is measured.
Quantization Error - Distortion that results from the quantization process.
It is seen that in this example, the quantization error is considerable.
As another example, gain adjustment may compensate for spectral distortion due to quantization error.
With each additional bit added to a sample, quantization error is reduced by approximately 6 dB.
The mean quantization error is calculated in a quantized domain ( or, more precisely, in a scaled domain ).
Next, the masking effect and the quantization error are described hereinafter.
Fig . 2c has the coarsest quantization and thus the largest quantization error.
Equation 21 indicates an instantaneous quantization error occurring in a predetermined time among all animation key frames.
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