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Resampling information


Resampling may refer to:

  • Resampling (audio), several related audio processes
  • Resampling (statistics), resampling methods in statistics
  • Resampling (bitmap), scaling of bitmap images

and 22 Related for: Resampling information

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Resampling

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Look up resampling in Wiktionary, the free dictionary. Resampling may refer to: Resampling (audio), several related audio processes Resampling (statistics)...

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Jackknife resampling

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therefore, a form of resampling. It is especially useful for bias and variance estimation. The jackknife pre-dates other common resampling methods such as...

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Lanczos resampling

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Lanczos filtering and Lanczos resampling are two applications of a mathematical formula. It can be used as a low-pass filter or used to smoothly interpolate...

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Image scaling

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practice, the assumptions behind sinc resampling are not completely met by real-world digital images. Lanczos resampling, an approximation to the sinc method...

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Particle filter

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it can be mitigated by including a resampling step before the weights become uneven. Several adaptive resampling criteria can be used including the variance...

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Bicubic interpolation

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often chosen over bilinear or nearest-neighbor interpolation in image resampling, when speed is not an issue. In contrast to bilinear interpolation, which...

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Acutance

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resampling often cause overshoot, which increases acutance, but can also reduce absolute gradient, which reduces acutance. Filtering and resampling can...

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Reconstruction filter

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continuous reconstruction filter to produce a discrete resampling filter, then using the discrete resampling filter to directly resample the image. For decimation...

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Audio time stretching and pitch scaling

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respectively raises the pitch, creating the so-called Chipmunk effect. When resampling audio to a notably lower pitch, it may be preferred that the source audio...

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Permutation test

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and Permutation Tests Simon, J. L. (1997): Resampling: The New Statistics. Yu, Chong Ho (2003): Resampling methods: concepts, applications, and justification...

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GD Graphics Library

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images, and multiple colors, supporting truecolor images, alpha channels, resampling, and many other features. The software was developed in 1994 by Thomas...

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Statistics

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the growing popularity of computationally intensive methods based on resampling, such as permutation tests and the bootstrap, while techniques such as...

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FastStone Image Viewer

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zip, and a portable zip version. Thumbnail viewer (using using Lanczos resampling algorithm) Crop Board and Draw Board Resizing, cropping, color correction...

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Multivariate interpolation

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interpolation Bicubic interpolation Bézier surface Lanczos resampling Delaunay triangulation Bitmap resampling is the application of 2D multivariate interpolation...

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Standard deviation

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interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most...

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Tim Hesterberg

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Mathematical Statistics with Resampling and R. A 2015 article titled "What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics...

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Confidence interval

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distributional assumptions for the above methods are uncertain or violated, resampling methods allow construction of confidence intervals or prediction intervals...

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Jackknife

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hold, a pinning move in professional wrestling Jackknife (statistics), a resampling technique in statistics Jackknife clam, common name for several species...

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Bayesian inference

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interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most...

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Statistical hypothesis test

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Bootstrap-based resampling methods can be used for null hypothesis testing. A bootstrap creates numerous simulated samples by randomly resampling (with replacement)...

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Logistic regression

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interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most...

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Monte Carlo method

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published in their seminal work the first application of a Monte Carlo resampling algorithm in Bayesian statistical inference. The authors named their algorithm...

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