double-sampling estimate - определение. Что такое double-sampling estimate
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Что (кто) такое double-sampling estimate - определение

Raygor Estimate Graph; Raygor Readability Estimate
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Snowball sampling         
NONPROBABILITY SAMPLING TECHNIQUE
Snowball sample; Respondent-driven sampling; Snowball method; Snowballed sample
In sociology and statistics research, snowball sampling (or chain sampling, chain-referral sampling, referral sampling (accessed 8 May 2011).Snowball Sampling, Changing Minds.
Nyquist Theorem         
  • the sampled sequences are identical}}, even though the original continuous pre-sampled functions are not. If these were audio signals, <math>x(t)</math> and <math>x_A(t)</math> might not sound the same. But their samples (taken at rate ''f''<sub>s</sub>) are identical and would lead to identical reproduced sounds; thus ''x''<sub>A</sub>(''t'') is an alias of ''x''(''t'') at this sample rate.
  • The samples of two sine waves can be identical when at least one of them is at a frequency above half the sample rate.
  • A family of sinusoids at the critical frequency, all having the same sample sequences of alternating +1 and –1. That is, they all are aliases of each other, even though their frequency is not above half the sample rate.
  • Properly sampled image
  • Subsampled image showing a [[Moiré pattern]]
  • The figure on the left shows a function (in gray/black) being sampled and reconstructed (in gold) at steadily increasing sample-densities, while the figure on the right shows the frequency spectrum of the gray/black function, which does not change. The highest frequency in the spectrum is ½ the width of the entire spectrum. The width of the steadily-increasing pink shading is equal to the sample-rate. When it encompasses the entire frequency spectrum it is twice as large as the highest frequency, and that is when the reconstructed waveform matches the sampled one.
  • Spectrum, ''X<sub>s</sub>''(''f''), of a properly sampled bandlimited signal (blue) and the adjacent DTFT images (green) that do not overlap. A ''brick-wall'' low-pass filter, ''H''(''f''), removes the images, leaves the original spectrum, ''X''(''f''), and recovers the original signal from its samples.
  • x}}.
THEOREM
Nyquist theorem; Shannon sampling theorem; Nyquist sampling theorem; Nyquist's theorem; Shannon-Nyquist sampling theorem; Nyquist-Shannon Sampling Theorem; Nyqvist-Shannon sampling theorem; Sampling theorem; Nyquist Sampling Theorem; Nyquist-Shannon sampling theorem; Nyquist–Shannon theorem; Nyquist–Shannon Theorem; Nyquist Theorem; Shannon-Nyquist theorem; Nyquist sampling; Nyquist's law; Nyquist law; Coherent sampling; Nyqvist limit; Raabe condition; Nyquist-Shannon Theorem; Nyquist-Shannon theorem; Nyquist noise theorem; Shannon–Nyquist theorem; Kotelnikov-Shannon theorem; Kotelnikov–Shannon theorem; Nyquist-Shannon; Kotelnikov theorem; Nyquist's sampling theorem; Sampling Theorem; Nyquist Shannon theorem; Nyquist–Shannon–Kotelnikov sampling theorem; Whittaker–Shannon–Kotelnikov sampling theorem; Whittaker–Nyquist–Kotelnikov–Shannon sampling theorem; Nyquist-Shannon-Kotelnikov sampling theorem; Whittaker-Shannon-Kotelnikov sampling theorem; Whittaker-Nyquist-Kotelnikov-Shannon sampling theorem; Cardinal theorem of interpolation; WKS sampling theorem; Whittaker–Kotelnikow–Shannon sampling theorem; Whittaker-Kotelnikow-Shannon sampling theorem; Nyquist–Shannon–Kotelnikov; Whittaker–Shannon–Kotelnikov; Whittaker–Nyquist–Kotelnikov–Shannon; Nyquist-Shannon-Kotelnikov; Whittaker-Shannon-Kotelnikov; Whittaker-Nyquist-Kotelnikov-Shannon; Whittaker–Shannon sampling theorem; Whittaker–Nyquist–Shannon sampling theorem; Whittaker-Nyquist-Shannon sampling theorem; Whittaker-Shannon sampling theorem
<communications> A theorem stating that when an analogue waveform is digitised, only the frequencies in the waveform below half the sampling frequency will be recorded. In order to reconstruct (interpolate) a signal from a sequence of samples, sufficient samples must be recorded to capture the peaks and troughs of the original waveform. If a waveform is sampled at less than twice its frequency the reconstructed waveform will effectively contribute only noise. This phenomenon is called "aliasing" (the high frequencies are "under an alias"). This is why the best digital audio is sampled at 44,000 Hz - twice the average upper limit of human hearing. The Nyquist Theorem is not specific to digitised signals (represented by discrete amplitude levels) but applies to any sampled signal (represented by discrete time values), not just sound. {Nyquist (http://geocities.com/bioelectrochemistry/nyquist.htm)} (the man, somewhat inaccurate). (2003-10-21)
Ewens's sampling formula         
SAMPLING FORMULA WHICH DESCRIBES THE PROBABILITIES OF ALLELES IN A SAMPLE
Ewens' sampling formula; Ewens sampling formula; Ewens distribution; Ewens sampling; Ewens's Sampling Formula; Ewens Sampling Formula; Ewens Distribution; Ewens formula
In population genetics, Ewens's sampling formula, describes the probabilities associated with counts of how many different alleles are observed a given number of times in the sample.
Nyquist–Shannon sampling theorem         
  • the sampled sequences are identical}}, even though the original continuous pre-sampled functions are not. If these were audio signals, <math>x(t)</math> and <math>x_A(t)</math> might not sound the same. But their samples (taken at rate ''f''<sub>s</sub>) are identical and would lead to identical reproduced sounds; thus ''x''<sub>A</sub>(''t'') is an alias of ''x''(''t'') at this sample rate.
  • The samples of two sine waves can be identical when at least one of them is at a frequency above half the sample rate.
  • A family of sinusoids at the critical frequency, all having the same sample sequences of alternating +1 and –1. That is, they all are aliases of each other, even though their frequency is not above half the sample rate.
  • Properly sampled image
  • Subsampled image showing a [[Moiré pattern]]
  • The figure on the left shows a function (in gray/black) being sampled and reconstructed (in gold) at steadily increasing sample-densities, while the figure on the right shows the frequency spectrum of the gray/black function, which does not change. The highest frequency in the spectrum is ½ the width of the entire spectrum. The width of the steadily-increasing pink shading is equal to the sample-rate. When it encompasses the entire frequency spectrum it is twice as large as the highest frequency, and that is when the reconstructed waveform matches the sampled one.
  • Spectrum, ''X<sub>s</sub>''(''f''), of a properly sampled bandlimited signal (blue) and the adjacent DTFT images (green) that do not overlap. A ''brick-wall'' low-pass filter, ''H''(''f''), removes the images, leaves the original spectrum, ''X''(''f''), and recovers the original signal from its samples.
  • x}}.
THEOREM
Nyquist theorem; Shannon sampling theorem; Nyquist sampling theorem; Nyquist's theorem; Shannon-Nyquist sampling theorem; Nyquist-Shannon Sampling Theorem; Nyqvist-Shannon sampling theorem; Sampling theorem; Nyquist Sampling Theorem; Nyquist-Shannon sampling theorem; Nyquist–Shannon theorem; Nyquist–Shannon Theorem; Nyquist Theorem; Shannon-Nyquist theorem; Nyquist sampling; Nyquist's law; Nyquist law; Coherent sampling; Nyqvist limit; Raabe condition; Nyquist-Shannon Theorem; Nyquist-Shannon theorem; Nyquist noise theorem; Shannon–Nyquist theorem; Kotelnikov-Shannon theorem; Kotelnikov–Shannon theorem; Nyquist-Shannon; Kotelnikov theorem; Nyquist's sampling theorem; Sampling Theorem; Nyquist Shannon theorem; Nyquist–Shannon–Kotelnikov sampling theorem; Whittaker–Shannon–Kotelnikov sampling theorem; Whittaker–Nyquist–Kotelnikov–Shannon sampling theorem; Nyquist-Shannon-Kotelnikov sampling theorem; Whittaker-Shannon-Kotelnikov sampling theorem; Whittaker-Nyquist-Kotelnikov-Shannon sampling theorem; Cardinal theorem of interpolation; WKS sampling theorem; Whittaker–Kotelnikow–Shannon sampling theorem; Whittaker-Kotelnikow-Shannon sampling theorem; Nyquist–Shannon–Kotelnikov; Whittaker–Shannon–Kotelnikov; Whittaker–Nyquist–Kotelnikov–Shannon; Nyquist-Shannon-Kotelnikov; Whittaker-Shannon-Kotelnikov; Whittaker-Nyquist-Kotelnikov-Shannon; Whittaker–Shannon sampling theorem; Whittaker–Nyquist–Shannon sampling theorem; Whittaker-Nyquist-Shannon sampling theorem; Whittaker-Shannon sampling theorem
The Nyquist–Shannon sampling theorem is a theorem in the field of signal processing which serves as a fundamental bridge between continuous-time signals and discrete-time signals. It establishes a sufficient condition for a sample rate that permits a discrete sequence of samples to capture all the information from a continuous-time signal of finite bandwidth.
double-declutch         
METHOD OF SHIFTING GEARS
Double clutching; Double-clutching; Double declutching; Double-declutching; Double declutch; Double de-clutching; Double-declutch; Double declutches; Double declutched; Double-declutched; Double clutch (technique)
¦ verb Brit. release and re-engage the clutch of a vehicle twice when changing gear.
Double album         
  • The Beatles]]'' (1968), colloquially known as ''The White Album'', one of the best-selling double albums of all time
AUDIO RECORDING ALBUM WHICH SPANS TWO UNITS OF THE PRIMARY MEDIUM IN WHICH IT IS SOLD
Double LP; Double albums; Double Album; Double disc; Double Disc; Double-disc; Double-Disc; Double disc album; Double Disc album; Double-disc album; Double-Disc album; Double CD album; Double-CD album; Double CD; Double-CD; Triple album; Triple albums; Double-album
A double album (or double record) is an audio album that spans two units of the primary medium in which it is sold, typically either records or compact disc. A double album is usually, though not always, released as such because the recording is longer than the capacity of the medium.
Sampling (statistics)         
  • A visual representation of selecting a random sample using the cluster sampling technique
  • A visual representation of selecting a random sample using the stratified sampling technique
  • A visual representation of selecting a random sample using the systematic sampling technique
SELECTION OF DATA POINTS IN STATISTICS
Sample (statistics); Statistical sampling; Sample survey; Random sampling; Random sample; Statistical sample; Sampling method; Sample population; Sample poppulation; Sampling (mathematics); Random allocation; Sample set; Representative sample; Sampling methods; Sample (probability); Sampling technique; Probability sample; Sampling techiques; Sampling techniques; Probability sampling; Sampling plan; Random sampling with replacement; Sampling (A level business); Random selection; Statistical Sample; Randomly selected; Unbiased sampling; Sampling Theory; Sampling scheme; Sample group; Data sample; Data sampling; N (statistics); With replacement; Without replacement; Double Labelling Experiment; Applications of statistical sampling; Random samples; Sample Surveys
In statistics, quality assurance, and survey methodology, sampling is the selection of a subset (a statistical sample) of individuals from within a statistical population to estimate characteristics of the whole population. Statisticians attempt to collect samples that are representative of the population in question.
Line-intercept sampling         
METHOD OF SAMPLING ELEMENTS IN A REGION WHEREBY AN ELEMENT IS SAMPLED IF A CHOSEN LINE SEGMENT, CALLED A “TRANSECT”, INTERSECTS THE ELEMENT
Line-intersect sampling; Line-transect sampling; Line intercept sampling; Line transect sampling; Line intersect sampling; Line transect method
In statistics, more specifically in biostatistics, line-intercept sampling (LIS) is a method of sampling elements in a region whereby an element is sampled if a chosen line segment, called a “transect”, intersects the element.Kaiser, L, 1983.
random sample         
  • A visual representation of selecting a random sample using the cluster sampling technique
  • A visual representation of selecting a random sample using the stratified sampling technique
  • A visual representation of selecting a random sample using the systematic sampling technique
SELECTION OF DATA POINTS IN STATISTICS
Sample (statistics); Statistical sampling; Sample survey; Random sampling; Random sample; Statistical sample; Sampling method; Sample population; Sample poppulation; Sampling (mathematics); Random allocation; Sample set; Representative sample; Sampling methods; Sample (probability); Sampling technique; Probability sample; Sampling techiques; Sampling techniques; Probability sampling; Sampling plan; Random sampling with replacement; Sampling (A level business); Random selection; Statistical Sample; Randomly selected; Unbiased sampling; Sampling Theory; Sampling scheme; Sample group; Data sample; Data sampling; N (statistics); With replacement; Without replacement; Double Labelling Experiment; Applications of statistical sampling; Random samples; Sample Surveys
n. to select, take a random sample
double bill         
  • A poster advertising [[American International Pictures]]' double feature of ''[[Die, Monster, Die!]]'' and ''[[Planet of the Vampires]]''.
  • [[The Astor Theatre]] in [[Melbourne]], [[Australia]] has shown double features since its opening in 1936.
MOTION PICTURE INDUSTRY PHENOMENON
Double-feature; Double-bill; Double bill
also double-bill (double bills)
A double bill is a theatre or cinema performance in which there are two shows on the programme.
N-COUNT: oft N of n

Википедия

Raygor readability estimate

The Raygor estimate graph is a readability metric for English text. It was developed by Alton L. Raygor, who published it in 1977.

The US grade level is calculated by the average number of sentences and letters per hundred words. These averages are plotted onto a specific graph where the intersection of the average number of sentences and the average number of letters/word determines the reading level of the content. Note that this graph is very similar to the Fry readability formula's graph.

This graph is primarily used in secondary education to help classify teaching materials and books into their appropriate reading groups.