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(color): OFM sampling rate and aliasing error

Minimum Error Rate Training by Sampling the Translation Lattice

Minimum Error Rate Training by Sampling the Translation Lattice

... This in turn means that, for any given sentence, its contribution to BLEU changes only when the value of the parameters change in such a way that the sen- tence ranking first according to the model switches from one to ...

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Sampling Strategies for Error Rate Estimation and Quality Control

Sampling Strategies for Error Rate Estimation and Quality Control

... 38 Process To organize the data, many indicators were made in the original datasheet pointing out various changes in the data. Using Microsoft Excel, formulas were created to pick out the data necessary for analysis. For ...

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Data Sampling and Error bound

Data Sampling and Error bound

... Data sampling is a technique that samples a small portion of data to process and returns an approximate result with an error bound, thereby reducing the query’s execution ...(1) error bounds are ...

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Synchronous Pendulums and Aliasing

Synchronous Pendulums and Aliasing

... In short, aliasing is the emergence of two indistinguishable signals (aliases of one another) created by the sampling rate. Imagine a spinning disc with a black dot on its edge, completing one ...

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Adaptive Rate Sampling and Filtering Based on Level Crossing Sampling

Adaptive Rate Sampling and Filtering Based on Level Crossing Sampling

... filtering error increases with the increase in d i . The measure of this error can be used to decide an upper bound to d i (by performing an o ffl ine calculation), for which the decimated and the scaled ...

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Sampling signals with finite rate of innovation

Sampling signals with finite rate of innovation

... A(z)j = 1 0 e . The roots of the annihilating filter are exactly the locations of the Diracs. The above recursion is routinely used in error-correction coding in order to fill in the error spectrum based on ...

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Sampling Signals With Finite Rate of Innovation

Sampling Signals With Finite Rate of Innovation

... A(z)j = 1 0 e . The roots of the annihilating filter are exactly the locations of the Diracs. The above recursion is routinely used in error-correction coding in order to fill in the error spectrum based on ...

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11 ERRORS AND BIAS Introduction 11.1 Types of error 11.2 Sampling error 11.3

11 ERRORS AND BIAS Introduction 11.1 Types of error 11.2 Sampling error 11.3

... 11.45 The ratio of arithmetic averages (Dutot) and geometric mean (Jevons) formulae eliminate formula bias as defined here, and both are permitted by Eurostat. Their expectations differ, however, when item prices do not ...

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Velocity error induced by unevenly sampling wind radars

Velocity error induced by unevenly sampling wind radars

... The data upon which this project is based comes from a SKiYMET radar located at Dragvoll, Trondheim. This piece of equipment utilizes eight transmitter antennas and five receiver antennas that receive the signals ...

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Importance sampling simulation for evaluating lower bound symbol error rate of the Bayesian DFE with multi level signalling schemes

Importance sampling simulation for evaluating lower bound symbol error rate of the Bayesian DFE with multi level signalling schemes

... scaled error rate of the equivalent binary Bayesian DFE eval- uated on any two neighboring signal ...and error propagation is not taken into ...

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Error Analysis of ERM Algorithm with Unbounded and Non Identical Sampling

Error Analysis of ERM Algorithm with Unbounded and Non Identical Sampling

... Example 1. Let { } h ( ) i be a sequence of bounded functions on X such that sup x X ∈ h x ( ) i ( ) ≤ C i − b . Then the sequence { } ρ ( ) X i i = 1,2, defined by d ρ ( ) X t = d ρ X + h ( ) t ( ) x d ρ X satisfies (2) ...

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Aliasing, Image Sampling and Reconstruction

Aliasing, Image Sampling and Reconstruction

... • An image is a 2D rectilinear array of samples o Quantization due to limited intensity resolution o Sampling due to limited spatial and temporal resolution.. Pixels are infinitely small[r] ...

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Lecture 23: Aliasing in Frequency: the Sampling Theorem

Lecture 23: Aliasing in Frequency: the Sampling Theorem

... The cubic spline has no discontinuities, and no slope discontinuities, but it still has discontinuities in its second derivative and all higher derivatives. Can we fix those[r] ...

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Sampling-Error-Estimation.pdf

Sampling-Error-Estimation.pdf

... of error that plague survey results are numerous. Many of these error sources—such as unusable responses to vague or sensitive questions; no response from particular sample members; and errors in coding, ...

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ANGEO - Zonal mean and tidal dynamics from space: an empirical examination of aliasing and sampling

ANGEO - Zonal mean and tidal dynamics from space: an empirical examination of aliasing and sampling

... 2 University of Saskatchewan, Saskatoon, Canada 3 University of Adelaide, Adelaide, S. Australia Received: 27 September 1996 / Revised: 13 March 1997 / Accepted 15 March 1997 Abstract. Interpretations of space-based ...

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Aliasing and Mutability

Aliasing and Mutability

... c. For linear search, at what index would the target element be found in the worst case scenario runtime? For binary search? Explain... ANSWER:.[r] ...

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The quantification of sampling error in coordinate measurement

The quantification of sampling error in coordinate measurement

... points to predict geometric parameters of any profile leads to relatively large errors. The[r] ...

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Deconvolution of the Error Associated with Random Sampling

Deconvolution of the Error Associated with Random Sampling

... DOI: 10.4236/apm.2019.93010 206 Advances in Pure Mathematics a straightforward empirical link between stochastic sampling error and the aforementioned C V s . Finally, we demonstrate that all attendant ...

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Sampling Error Estimation in Stratified Surveys

Sampling Error Estimation in Stratified Surveys

... Keywords: Variance Estimation; Jackknife; Bootstrap; Stratified Sampling 1. Introduction Many of the operations carried out by official statistics institutions are based on surveys performed on a finite population ...

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Chapter 20: chance error in sampling

Chapter 20: chance error in sampling

... ■ A public opinion poll uses a simple random sample of size 1500, drawn from a population of 25,000. ■ Another poll uses a simple random sample of size 1500 from a town with a population[r] ...

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