As we embrace the KISS principle (Keep It Simple & Stupid), we could have used Analog & Digital instead.<\/p>\n\n\n\n
Although both are data, we want to distinguish between their nature for a better understanding.<\/p>\n\n\n\n
Usually, data is a time series <\/strong>(it happens while time moves on and on). The glossary page explains more about the time domain and frequency domain.<\/p>\n\n\n\n As the principle is the same, for simplicity, we will only consider data as a time series at the moment.<\/p>\n\n\n\n Continuous Data<\/strong><\/p>\n\n\n\n The measured data values are endless when you measure a signal continuously with a recorder such as a plotter. In theory, you can divide time into infinity (because time is also continuous data).<\/p>\n\n\n\n Two measurements at the time of 1 second and the time of 2 seconds will have a value of 0,5<\/strong> seconds in between.<\/p>\n\n\n\n Again, between 1 second and 0,5 seconds, you will have a value of 0,25<\/strong> seconds.<\/p>\n\n\n\n We can go on to infinity 0,125<\/strong> – 0,0625<\/strong> \u2013 0,3125<\/strong> \u2026 -> infinity<\/strong>.<\/p>\n\n\n\n Examples of continuous data are temperature, weight, height, speed, etc.<\/p>\n\n\n\n Everything you can measure with a measuring instrument is continuous data. See the table hereafter.<\/p>\n\n\n\n Discrete Signal\/Data<\/strong><\/p>\n\n\n\n We have seen that time can be divided into infinity because it is also continuous data or signal. However, some data is undividable into infinity. This data we call discrete data.<\/p>\n\n\n\n Examples are easy.<\/p>\n\n\n\n We do not have measurement instruments to measure this kind of data. Discrete data we have to count (or the measurement instrument would always be a counter), and the result is always a finite value. You cannot have a half-child, a half-tree, or a half-car. There is nothing in between the discrete values.<\/p>\n\n\n\n DAB(+)<\/strong><\/p>\n\n\n\n As DAB(+) is a digital<\/strong> system, we will often encounter discrete <\/strong>data or signals. The above knowledge can help us better understand the DAB(+) principles we explain on \u201clocaldab.org.\u201d<\/p>\n\n\n\n
However, signal theory must consider time series<\/strong> and frequency series<\/strong>.<\/p>\n\n\n\nContinuous Data<\/td> Measuring instrument<\/td><\/tr> Temperature<\/td> Thermometer<\/td><\/tr> Weight<\/td> Weight scale<\/td><\/tr> Height<\/td> Ruler<\/td><\/tr> Speed<\/td> Velocity meter<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n