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Aliasing and Analog-to-digital converter

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Aliasing and Analog-to-digital converter

Aliasing vs. Analog-to-digital converter

In signal processing and related disciplines, aliasing is an effect that causes different signals to become indistinguishable (or aliases of one another) when sampled. In electronics, an analog-to-digital converter (ADC, A/D, or A-to-D) is a system that converts an analog signal, such as a sound picked up by a microphone or light entering a digital camera, into a digital signal.

Similarities between Aliasing and Analog-to-digital converter

Aliasing and Analog-to-digital converter have 12 things in common (in Unionpedia): Anti-aliasing filter, Digital-to-analog converter, Digitization, Hertz, Heterodyne, Nyquist frequency, Nyquist–Shannon sampling theorem, Pixel, Sampling (signal processing), Sawtooth wave, Signal processing, Undersampling.

Anti-aliasing filter

An anti-aliasing filter (AAF) is a filter used before a signal sampler to restrict the bandwidth of a signal to approximately or completely satisfy the sampling theorem over the band of interest.

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Digital-to-analog converter

In electronics, a digital-to-analog converter (DAC, D/A, D2A, or D-to-A) is a system that converts a digital signal into an analog signal.

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Digitization

Digitization, at WhatIs.com in Collins English Dictionary less commonly digitalization, is the process of converting information into a digital (i.e. computer-readable) format, in which the information is organized into bits.

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Hertz

The hertz (symbol: Hz) is the derived unit of frequency in the International System of Units (SI) and is defined as one cycle per second.

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Heterodyne

Heterodyning is a signal processing technique invented in 1901 by Canadian inventor-engineer Reginald Fessenden that creates new frequencies by combining or mixing two frequencies.

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Nyquist frequency

The Nyquist frequency, named after electronic engineer Harry Nyquist, is half of the sampling rate of a discrete signal processing system.

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Nyquist–Shannon sampling theorem

In the field of digital signal processing, the sampling theorem is a fundamental bridge between continuous-time signals (often called "analog signals") and discrete-time signals (often called "digital signals").

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Pixel

In digital imaging, a pixel, pel, dots, or picture element is a physical point in a raster image, or the smallest addressable element in an all points addressable display device; so it is the smallest controllable element of a picture represented on the screen.

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Sampling (signal processing)

In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal.

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Sawtooth wave

The sawtooth wave (or saw wave) is a kind of non-sinusoidal waveform.

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Signal processing

Signal processing concerns the analysis, synthesis, and modification of signals, which are broadly defined as functions conveying "information about the behavior or attributes of some phenomenon", such as sound, images, and biological measurements.

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Undersampling

In signal processing, undersampling or bandpass sampling is a technique where one samples a bandpass-filtered signal at a sample rate below its Nyquist rate (twice the upper cutoff frequency), but is still able to reconstruct the signal.

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The list above answers the following questions

Aliasing and Analog-to-digital converter Comparison

Aliasing has 52 relations, while Analog-to-digital converter has 131. As they have in common 12, the Jaccard index is 6.56% = 12 / (52 + 131).

References

This article shows the relationship between Aliasing and Analog-to-digital converter. To access each article from which the information was extracted, please visit:

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