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13 890 (0,125s)

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Asymptotically sufficient partitions and quantizations

Quantization of statistical inputs (partitioning of the inpuit space)is asessed by the the reduction of the statistical information. A sequence of quantizations is asymptotically sufficient (AS) if the reduction tends to zero. New p...

BD - Teorie informace

  • 2006
  • Jx
Result

Interval Estimation of the Mean of a Normal Distribution Based on Quantized Obseravtions

Considered is the problem of making statistical inference about the mean of a normal distribution based on random sample of quantized observations. Paper considers situations where the standard deviation of the measured error is rel...

BB - Aplikovaná statistika, operační výzkum

  • 2009
  • Jx
Result

Approximations to powers of phi-disparity goodness-of-fit tests.

The paper studies a class of tests based on disparities between the real-valued data and theoretical models resulting either from fixed partitions of the observation space, or from the partitions by the sample quantiles of fixed orders. In both cases...

BD - Teorie informace

  • 2001
  • Jx
Result

Wave Probabilistic Models

information about the changes of time series or random processes. Next feature of wave probabilistic models is the quantization principle or definition of probabilistic inclusion......

JO - Pozemní dopravní systémy a zařízení

  • 2007
  • Jx
Result

Minimum divergence estimators based on grouped data.

It is shown that an optimal grouping of data (quantification) leads to a negligible inefficiency in continuous parametric models. Robust estimators achieving the negligible inefficiency are introduced and their asymptotic theory is established....

BB - Aplikovaná statistika, operační výzkum

  • 2001
  • Jx
Result

Quantization methods: a-guide for physicists and analysts

This is a survey of some of the better known quantization techniques, including the canonical quantization, Borel and Segal quantizations, geometric quantization, deformation quantization, Berezin and Bere...

BA - Obecná matematika

  • 2005
  • Jx
Result

Efficient GPU-based Decompression of BTF Data Compressed using Multi-Level Vector Quantization

an appropriate decompression algorithms are also needed, allowing fast random synthesis representation. One of such methods based on multi-level vector quantization and providing both good compression ratio and random acce...

JC - Počítačový hardware a software

  • 2013
  • D
  • Link
Result

2D Iterative Detection Network Based Image Restoration: Principles, Applications and Performance Analysis

), thermal noise (Poisson), readout noise (Gaussian) and quantization noise.The photon and quantization noise together create one composite noise of the CCD/CMOS sensor that affects on the captured blurred image as the random

JA - Elektronika a optoelektronika, elektrotechnika

  • 2012
  • C
  • Link
Result

Inovation of the High Quantization Method

This article described a inovation of the heigh quantization method for quantization of measured signals. This method provide a to quantization to fewer of quantization level. It is no necessary to other use compre...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2010
  • Jx
Result

Spherical thermal counterflow of superfluid 4He

and, in the absence of shear flow, draws energy from a preexisting random tangle of quantized flow for cosmological phenomena relating cosmic strings to quantized vortices......

Condensed matter physics (including formerly solid state physics, supercond.)

  • 2024
  • Jimp
  • Link
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