sampling estimate - перевод на русский
Diclib.com
Словарь ChatGPT
Поиск в словаре Индивидуальные решения
Введите слово или словосочетание на любом языке 👆
Язык:

Перевод и анализ слов искусственным интеллектом ChatGPT

На этой странице Вы можете получить подробный анализ слова или словосочетания, произведенный с помощью лучшей на сегодняшний день технологии искусственного интеллекта:

  • как употребляется слово
  • частота употребления
  • используется оно чаще в устной или письменной речи
  • варианты перевода слова
  • примеры употребления (несколько фраз с переводом)
  • этимология
  1. Словари
  2. Англо-русский словарь
  3. sampling estimate

sampling estimate - перевод на русский

Raygor Estimate Graph; Raygor Readability Estimate
Найдено результатов: 333
sampling estimate      

общая лексика

оценка

полученная путём взятия проб

snowball sampling         
NONPROBABILITY SAMPLING TECHNIQUE
Snowball sample; Respondent-driven sampling; Snowball method; Snowballed sample
выборка типа "снежный ком"; эмпирическая выборка, не имеющая вероятностного обоснования, формируется, когда трудно очертить границы генеральной совокупности путем целенаправленного отбора экспертов и так называемых "редких элементов", которые после интервью могут указать следующий элемент и так далее (используется при изучении закрытых социальных групп - религиозных сект, банд и т.п.).
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
теорема отсчетов (дискретазации)
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

общая лексика

теорема отсчетов

sample rate         
  • The top two graphs depict Fourier transforms of two different functions that produce the same results when sampled at a particular rate. The baseband function is sampled faster than its Nyquist rate, and the bandpass function is undersampled, effectively converting it to baseband. The lower graphs indicate how identical spectral results are created by the aliases of the sampling process.
MEASUREMENT OF A SIGNAL AT DISCRETE TIME INTERVALS
Data Compression/sampling frequency; Sampling rate; Digital audio sample; Sample rate; Digital sample; Digital samples; Sample time; Sample (signal); Sampling Frequency; Sampling (information theory); Digital audio samples; Sampler (signal); Sample frequency; 16-bit sample; Sampling interval; Digital audio sampling and dither; Sampling frequency; Sampling frequencies; Super-Nyquist sampling; Ms/s; Sampling period; Sample interval; Sampe rate; Audio sampling rate; I/Q sampling; Time resolved; Samples per second; Sampling time; Megasample; Kilosample; Sample (signal processing); 3D sampling; Complex sampling; Analog encoding

математика

доля выборки в генеральной совокупности

sampling interval         
  • The top two graphs depict Fourier transforms of two different functions that produce the same results when sampled at a particular rate. The baseband function is sampled faster than its Nyquist rate, and the bandpass function is undersampled, effectively converting it to baseband. The lower graphs indicate how identical spectral results are created by the aliases of the sampling process.
MEASUREMENT OF A SIGNAL AT DISCRETE TIME INTERVALS
Data Compression/sampling frequency; Sampling rate; Digital audio sample; Sample rate; Digital sample; Digital samples; Sample time; Sample (signal); Sampling Frequency; Sampling (information theory); Digital audio samples; Sampler (signal); Sample frequency; 16-bit sample; Sampling interval; Digital audio sampling and dither; Sampling frequency; Sampling frequencies; Super-Nyquist sampling; Ms/s; Sampling period; Sample interval; Sampe rate; Audio sampling rate; I/Q sampling; Time resolved; Samples per second; Sampling time; Megasample; Kilosample; Sample (signal processing); 3D sampling; Complex sampling; Analog encoding
выборочный интервал, интервал между выборками
sampling interval         
  • The top two graphs depict Fourier transforms of two different functions that produce the same results when sampled at a particular rate. The baseband function is sampled faster than its Nyquist rate, and the bandpass function is undersampled, effectively converting it to baseband. The lower graphs indicate how identical spectral results are created by the aliases of the sampling process.
MEASUREMENT OF A SIGNAL AT DISCRETE TIME INTERVALS
Data Compression/sampling frequency; Sampling rate; Digital audio sample; Sample rate; Digital sample; Digital samples; Sample time; Sample (signal); Sampling Frequency; Sampling (information theory); Digital audio samples; Sampler (signal); Sample frequency; 16-bit sample; Sampling interval; Digital audio sampling and dither; Sampling frequency; Sampling frequencies; Super-Nyquist sampling; Ms/s; Sampling period; Sample interval; Sampe rate; Audio sampling rate; I/Q sampling; Time resolved; Samples per second; Sampling time; Megasample; Kilosample; Sample (signal processing); 3D sampling; Complex sampling; Analog encoding
интервал выборки, интервал отсчета
sampling frequency         
  • The top two graphs depict Fourier transforms of two different functions that produce the same results when sampled at a particular rate. The baseband function is sampled faster than its Nyquist rate, and the bandpass function is undersampled, effectively converting it to baseband. The lower graphs indicate how identical spectral results are created by the aliases of the sampling process.
MEASUREMENT OF A SIGNAL AT DISCRETE TIME INTERVALS
Data Compression/sampling frequency; Sampling rate; Digital audio sample; Sample rate; Digital sample; Digital samples; Sample time; Sample (signal); Sampling Frequency; Sampling (information theory); Digital audio samples; Sampler (signal); Sample frequency; 16-bit sample; Sampling interval; Digital audio sampling and dither; Sampling frequency; Sampling frequencies; Super-Nyquist sampling; Ms/s; Sampling period; Sample interval; Sampe rate; Audio sampling rate; I/Q sampling; Time resolved; Samples per second; Sampling time; Megasample; Kilosample; Sample (signal processing); 3D sampling; Complex sampling; Analog encoding

общая лексика

частота отбора проб

математика

выборочная частота

Смотрите также

sampling rate

sampling rate         
  • The top two graphs depict Fourier transforms of two different functions that produce the same results when sampled at a particular rate. The baseband function is sampled faster than its Nyquist rate, and the bandpass function is undersampled, effectively converting it to baseband. The lower graphs indicate how identical spectral results are created by the aliases of the sampling process.
MEASUREMENT OF A SIGNAL AT DISCRETE TIME INTERVALS
Data Compression/sampling frequency; Sampling rate; Digital audio sample; Sample rate; Digital sample; Digital samples; Sample time; Sample (signal); Sampling Frequency; Sampling (information theory); Digital audio samples; Sampler (signal); Sample frequency; 16-bit sample; Sampling interval; Digital audio sampling and dither; Sampling frequency; Sampling frequencies; Super-Nyquist sampling; Ms/s; Sampling period; Sample interval; Sampe rate; Audio sampling rate; I/Q sampling; Time resolved; Samples per second; Sampling time; Megasample; Kilosample; Sample (signal processing); 3D sampling; Complex sampling; Analog encoding

общая лексика

частота дискретизации, частота выборки

интервал (шаг) сетки выборки, используемый при дискретизации аналогового сигнала, другими словами, сколько раз за единицу времени измеряется аналоговый сигнал для его преобразования в цифровую форму, кодирования или модуляции. Стандарт MPC требует, чтобы звуковые платы записывали звук с частотой выборки не ниже 11 кГц

частота выборки

сейсмология

частота квантования

интервал квантования

скорость дискретизации

синоним

sampling frequency

sampling period         
  • The top two graphs depict Fourier transforms of two different functions that produce the same results when sampled at a particular rate. The baseband function is sampled faster than its Nyquist rate, and the bandpass function is undersampled, effectively converting it to baseband. The lower graphs indicate how identical spectral results are created by the aliases of the sampling process.
MEASUREMENT OF A SIGNAL AT DISCRETE TIME INTERVALS
Data Compression/sampling frequency; Sampling rate; Digital audio sample; Sample rate; Digital sample; Digital samples; Sample time; Sample (signal); Sampling Frequency; Sampling (information theory); Digital audio samples; Sampler (signal); Sample frequency; 16-bit sample; Sampling interval; Digital audio sampling and dither; Sampling frequency; Sampling frequencies; Super-Nyquist sampling; Ms/s; Sampling period; Sample interval; Sampe rate; Audio sampling rate; I/Q sampling; Time resolved; Samples per second; Sampling time; Megasample; Kilosample; Sample (signal processing); 3D sampling; Complex sampling; Analog encoding
1) выборочное исследование
2) экспериментальный цикл

Определение

Nyquist 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)
Показать больше определений

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.

https://en.wikipedia.org/wiki/Raygor readability estimate
Как переводится sampling estimate на Русский язык
Поиск в словаре
Все словари Английский словарь Англо-арабский словарь Англо-голландский словарь Англо-греческий словарь Англо-испанский словарь Англо-итальянский словарь Англо-немецкий словарь Англо-русский словарь Англо-французский словарь Арабский словарь Голландский словарь Греческий словарь Испанский словарь Итальянский словарь Итальянско-русский словарь Латинско-испанский словарь Латинско-португальский словарь Немецкий словарь Португальский словарь Португальско-русский словарь Русский словарь Французский словарь Французско-русский словарь
Создано ИИ
Английский Русский Испанский Португальский Немецкий Французский Греческий Голландский Итальянский Арабский
Язык интерфейса
Русский English Español Português Deutsch Français Ελληνικά Nederlands Italiano عربي
Контакты
Свяжитесь с нами



Конфиденциальность
Политика конфиденциальности