Understanding Digital Signals: Discretization of Time and Magnitude Digital signals require discretizing both time and magnitude axes, unlike discrete-time signals which only discretize the time axis. For example, when measuring temperature over specific times in a city, digital signal processing restricts values to predefined levels (e.g., 0°C, 15°C). If an observed value falls between two levels (like 9°C), the lower level is chosen to minimize error. This process ensures that all measurements conform strictly to these fixed intervals.
Reducing Error by Increasing Levels in Digital Signals In digital signal systems like voltage measurement with limited allowed values (e.g., 0V or 5V), errors arise when actual readings fall between these set points. By increasing the number of allowable levels within a range—such as dividing into smaller increments—the accuracy improves significantly. For instance, splitting from just two options into finer divisions reduces discrepancies until exact matches are possible for measured data.