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| Domain | Definition |
Aerospace | (Abbreviation ADC). (references) |
Source: compiled by the editor from various references; see credits. | |
(From Wikipedia, the free Encyclopedia)
In electronics, an analog to digital converter (abbreviated ADC, A/D, or A to D) is a device that converts continuous signals to discrete digital numbers. Typically, an ADC converts a voltage to a digital number. The digital to analog converter or DAC performs the reverse operation.
The resolution of the converter indicates the number of discrete values it can produce. It is usually expressed in bits. For example, an ADC that encodes an analog input to one of 256 discrete values has a resolution of eight bits, since
Most ADCs are linear, which means that they are designed to produce an output value that is a linear function of, i.e. proportional to, the input. Another common type is the logarithmic ADC, which is used in telecommunications systems where the amplitude of the input signal varies over a wide range. The logarithmic ADC compresses the input signal into a smaller number of bits than a linear ADC with the same input range and resolution.
Accuracy depends on the error in the conversion. If the ADC is not broken, this error has two components: quantization error and (assuming the ADC is intended to be linear) non-linearity. These errors are measured in a unit called the LSB, which is an abbreviation for least significant bit. In the above example of an eight-bit ADC, an error of one LSB is 1/256 of the full signal range, or about 0.4%.
Quantization error is due to the finite resolution of the ADC, and is an unavoidable imperfection in all types of ADC. The magnitude of the quantization error at the sampling instant is between zero and half of one LSB.
All ADCs suffer from non-linearity errors caused by their physical imperfections, causing their output to deviate from a linear function (or some other function, in the case of a deliberately non-linear ADC) of their input. These errors can sometimes be mitigated by calibration, or prevented by testing.
Commonly, the analog signal is continuous in time and it is necessary to convert this to a flow of digital values. It is therefore required to define the rate at which new digital values are sampled from the analog signal. The rate of new values is called sampling rate of the converter.
The key idea here is that a continuously varying bandlimited signal can be sampled( ie. the signal values at intervals of time T, the sampling time, are measured and stored.) and then the original signal can be EXACTLY reproduced from the discrete-time values by an interpolation formula. The accuracy is however limited by quantization error. However this faithful reproduction is only possible if the sampling rate is higher than twice the highest frequency component present in the signal. This is essentially what is called Shannon's sampling theorem.
All ADCs work by sampling their input at discrete intervals of time. Their output is therefore an incomplete picture of the behaviour of the input. There is no way of knowing, by looking at the output, what the input was doing between one sampling instant and the next. If the input is known to be changing slowly compared to the sampling rate, then it can be assumed that the value of the signal between two sample instants was somewhere between the two sampled values. If, however, the input signal is changing fast compared to the sample rate, then this assumption is not valid.
If the digital values produced by the ADC are, at some later stage in the system, converted back to analog values by a digital to analog converter or DAC, it is desirable that the output of the DAC is a faithful representation of the original signal. If the input signal is changing much faster than the sample rate, then this will not be the case, and spurious signals called aliases will be produced at the output of the DAC. This problem is called aliasing.
To avoid aliasing, the input to an ADC is often filtered to prevent it from changing faster than the sample rate. This filter is called an anti-aliasing filter.
There are four common ways of implementing an electronic ADC:
Resolution
Response type
Accuracy
Sampling rate
Aliasing
ADC structures
Nonelectronic ADCs usually use some scheme similar to one of the above.
Source: adapted by the editor from Wikipedia, the free encyclopedia under a copyleft GNU Free Documentation License (GFDL) from the article "Analog to digital converter."
Crosswords: ANALOG TO DIGITAL CONVERTER |
| Specialty definitions using "ANALOG TO DIGITAL CONVERTER": A/D converter, ADC ♦ COMPUTERIZED ENVIRONMENTAL CONTROL INSTALLER ♦ encoder. (references) |
| The following statistics estimate the number of searches per day across the major English-language search engines as identified by various trade publications. Hyperlinks lead to commercial use of the expression at Amazon.com. |
| Expression | Frequency per Day |
analog to digital converter adc | 7 |
usb analog to digital converter | 4 |
| Source: compiled by the editor from various references; see credits. | |
Hexadecimal (or equivalents, 770AD-1900s) (references)41 4E 41 4C 4F 47      54 4F      44 49 47 49 54 41 4C      43 4F 4E 56 45 52 54 45 52 |
| Leonardo da Vinci (1452-1519; backwards) (references)
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Binary Code (1918-1938, probably earlier) (references)01000001 01001110 01000001 01001100 01001111 01000111 00100000 01010100 01001111 00100000 01000100 01001001 01000111 01001001 01010100 01000001 01001100 00100000 01000011 01001111 01001110 01010110 01000101 01010010 01010100 01000101 01010010 |
HTML Code (1990) (references)A N A L O G   T O   D I G I T A L   C O N V E R T E R |
ISO 10646 (1991-1993) (references)0041 004E 0041 004C 004F 0047      0054 004F      0044 0049 0047 0049 0054 0041 004C      0043 004F 004E 0056 0045 0052 0054 0045 0052 |
Encryption (beginner's substitution cypher): (references)354835464941254492384341435435462374948563952543952 |
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