![]() ![]() ![]() Here as well we must deal with approximations, acceptable error levels and resolution: DAC versus ADCĪ DAC or a digital to analog converter, is a system doing the opposite of what ADC does, and that is converting digital values into analog signals. We need all this, because humans and computers can’t handle infinite entropy data. The ADC can also be seen as a measuring device. These all imply comparing the real world analog values to a discrete measuring tool, and introduce acceptable errors in order to have a finite representation of the original data. To work with continuous data (analog) we usually require a measuring device: Ruler, stop watch, thermometer, speedometer, etc. On the other hand, a set of data is said to be discrete if the values belonging to the set are distinct and separate (unconnected values). ![]() To handle numeric data, we encode it in digital, meaning all content is expressed by sequences of 0 and 1.Ī set of data is said to be continuous if the elements belonging to the set can take on any value within a finite or infinite interval. Their purpose is translating a given signal to a numeric representation. We’re used to Analog to Digital converters (ADC) in a variety of applications such as voltmeters, thermometers or various other sensors. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |