Analog-to-Digital Conversion
Analog-to-digital conversion (ADC) is the process of converting continuous analog signals, such as voltage or current from sensors, into discrete digital values that can be processed by digital systems like microcontrollers or computers. It involves sampling the analog signal at regular intervals and quantizing each sample into a binary number, enabling real-world data to be interpreted and manipulated in digital form. This is fundamental in embedded systems, data acquisition, and signal processing applications.
Developers should learn ADC when working with embedded systems, IoT devices, or any project that interfaces with analog sensors (e.g., temperature, light, sound) to digitize real-world data for analysis or control. It's essential in fields like robotics, audio processing, and industrial automation, where accurate measurement and digital representation of analog inputs are critical for system functionality and decision-making.