Examples of 'resampling' in a sentence
Meaning of "resampling"
Resample means to sample again, especially in the context of digital signal processing or statistical analysis
Show more definitions
- Any technique or instance of generating a new sample from an existing dataset.
- present participle of resample
How to use "resampling" in a sentence
Basic
Advanced
resampling
Resampling methods are used in order to prevent overfitting.
For more details see bootstrap resampling.
Resampling does not increase the image quality.
Quality is used to set the quality of resampling.
Resampling of the impedances has therefore been implemented.
The key thing here is called resampling.
No resampling is performed during the planarizing process.
Computed order tracking is a resampling technique based on interpolation.
The resampling method of the invention is then applied.
But let me emphasize what resampling actually means.
Bootstrap resampling values are indicated at major nodes.
From the extra resampling step.
Resampling to the same pixel size.
We never suggested that it was a way to perform resampling.
When we are resampling up we are interpolating new pixels.
See also
A statistical analysis was performed by maximum likelihood and bootstrap resampling.
Selection and resampling are performed by the cable operator.
A statistical analysis is performed by maximum likelihood and bootstrap resampling.
This resampling can be performed in the time domain.
The main characteristic of quality it the length of resampling filter response.
Resampling has improved the spatial resolution of these images.
O statistical resampling and simulation.
Resampling using scaling factor.
That might lead to a resampling of the cuisine over time.
The resampling process is further discussed elsewhere in this document.
It also allows strategic sampling points to be located for future resampling.
Resampling also may be necessary if certain other conditions arise.
A minimum of three consecutive constant speed revolutions are required for resampling.
It is unclear when resampling of the impacted area will take place.
We propose and analyze a new scheme with stratification and resampling techniques.
Image resampling is one of the most important problems in image processing.
This is the type of situation requiring resampling to obtain an accurate contour.
Bootstrap resampling in second order stochastic dominance based portfolio selection.
The rounding offset value may be used in position calculation in a resampling process.
Applying a resampling filter to the samples of the resampling support vector.
For libsamplerate which is used for generic resampling in the audio decoder framework.
Resampling filter applied to the samples of the resampling support vector.
Variable phaseY can refer to a resampling filter phase of the luma color component.
Resampling of metadata is often required during certain audio processing tasks.
The performance of the algorithm can be also affected by proper choice of resampling method.
Resampling is a solution which is very popular in dealing with class imbalance.
Here we look at the newly implemented photometry method that avoids resampling images.
This uses a resampling process to correct frequency errors and jitter.
We present a type of algorithm which extends after resampling the rotation before resampling.
The most common resampling filters used in digital image processing.
Model prediction bias can be estimated by using a resampling procedure called the bootstrap.
Resampling methods can be used to bring samples of different sizes to a common footing.
Consequently there will not be any aliasing artifacts introduced by the resampling process.
Resampling of side information is often required during certain audio processing tasks.
Power was calculated using both bootstrap resampling and the usual normal theory methods.
