finite sampling correction - определение. Что такое finite sampling correction
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Что (кто) такое finite sampling correction - определение

COVER OF A SET
Point finite; Point-finite; Point finite collection
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Color correction         
  • Chromaticity diagram, Planckian locus, and lines of constant CCT
PROCESS USED IN STAGE LIGHTING, PHOTOGRAPHY, TELEVISION, CINEMATOGRAPHY, AND OTHER DISCIPLINES, WHICH USES COLOR GELS, OR FILTERS, TO ALTER THE OVERALL COLOR OF THE LIGHT
Colour correction; Color correction filter; Color Temperature Orange; Correct To Orange; Color-correction filter; Color correction gel; Color-correction gel
Color correction is a process used in stage lighting, photography, television, cinematography, and other disciplines, which uses color gels, or filters, to alter the overall color of the light. Typically the light color is measured on a scale known as color temperature, as well as along a light yellow –light blue axis orthogonal to the color temperature axis.
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.
Šidák correction         
MULITPLE COMPARISONS CORRECTION
Sidak correction; Sidak method
In statistics, the Šidák correction, or Dunn–Šidák correction, is a method used to counteract the problem of multiple comparisons. It is a simple method to control the familywise error rate.
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)
Finite morphism         
Finite map (algebraic geometry); Finite type scheme
In algebraic geometry, a finite morphism between two affine varieties X, Y is a dense regular map which induces isomorphic inclusion k\left[Y\right]\hookrightarrow k\left[X\right] between their coordinate rings, such that k\left[X\right] is integral over k\left[Y\right]. This definition can be extended to the quasi-projective varieties, such that a regular map f\colon X\to Y between quasiprojective varieties is finite if any point like y\in Y has an affine neighbourhood V such that U=f^{-1}(V) is affine and f\colon U\to V is a finite map (in view of the previous definition, because it is between affine varieties).
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.
Finite element method         
  • A function in <math>H_0^1,</math> with zero values at the endpoints (blue), and a piecewise linear approximation (red)
  • (c) The computed solution, <math>u(x, y)=1-x^2-y^2.</math>
  • (b) The [[sparse matrix]] ''L'' of the discretized linear system
  • Solving the two-dimensional problem <math>u_{xx}+u_{yy}=-4</math> in the disk centered at the origin and radius 1, with zero boundary conditions.<br />(a) The triangulation.
  • url=https://ris.utwente.nl/ws/files/6153316/CMBBE2014-Hamid-Submitted.pdf}}</ref>
  • A piecewise linear function in two dimensions
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NUMERICAL METHOD FOR SOLVING PHYSICAL OR ENGINEERING PROBLEMS
Finite element analysis; Finite Element Analysis; Finite elements; Finite element; Finite Element Method; Engineering treatment of the finite element method; Finite element solver; Finite element meshing; Finite element problem; Engineering treatment of the Finite Element Method; Finite element methods; Finite difference method based on variation principle; Finite elements analysis; Finite-element method; Finite-element analysis; Finite-element methods; Nonlinear finite element analysis
The finite element method (FEM) is a popular method for numerically solving differential equations arising in engineering and mathematical modeling. Typical problem areas of interest include the traditional fields of structural analysis, heat transfer, fluid flow, mass transport, and electromagnetic potential.
Finite Automaton         
  • TTL]] counter, a type of state machine
  • Fig. 5: Representation of an acceptor; this example shows one that determines whether a binary number has an even number of 0s, where ''S''<sub>1</sub> is an ''accepting state'' and ''S''<sub>2</sub> is a ''non accepting state''.
  • Fig. 3 Example of a simple finite-state machine
  • Fig. 6 Transducer FSM: Moore model example
  • Fig. 7 Transducer FSM: Mealy model example
  • Fig. 4: Acceptor FSM: parsing the string "nice".
  • Fig. 2 SDL state machine example
  • A turnstile
  • State diagram for a turnstile
  • Fig. 1 UML state chart example (a toaster oven)
MATHEMATICAL MODEL OF COMPUTATION; ABSTRACT MACHINE THAT CAN BE IN EXACTLY ONE OF A FINITE NUMBER OF STATES AT ANY GIVEN TIME
Finite state machines; Finite state automaton; Finite automaton; Finite state automata; Start state; Finite automata; Deterministic automata; State machine; SFSM; Finite State Machine; Finate state automata; Accept state; Accepting state; State Machine; State machines; Recognizer; Recognizers; Sequence detector; Sequence detectors; Finite state acceptor; Finite State Automaton; State transition function; Finite State Machines; Finite-state automata; Finite-state automaton; Finite state machine; Finite state grammar; Finite-state machines; Finite state-machine; Finite state language; Finite state; Finite Automata; Finite state recognizer; Finite-state recognizer; State-machine; Acceptor (finite-state machine); Optimization of finite state machines; Recogniser
Finite volume method         
METHOD FOR REPRESENTING AND EVALUATING PARTIAL DIFFERENTIAL EQUATIONS
Finite volume; Finite-volume method
The finite volume method (FVM) is a method for representing and evaluating partial differential equations in the form of algebraic equations.

Википедия

Point-finite collection

In mathematics, a collection or family U {\displaystyle {\mathcal {U}}} of subsets of a topological space X {\displaystyle X} is said to be point-finite if every point of X {\displaystyle X} lies in only finitely many members of U . {\displaystyle {\mathcal {U}}.}

A metacompact space is a topological space in which every open cover admits a point-finite open refinement. Every locally finite collection of subsets of a topological space is also point-finite. A topological space in which every open cover admits a locally finite open refinement is called a paracompact space. Every paracompact space is therefore metacompact.