Analogue Digital Conversion refers to the process of converting analog signals into digital signals for various applications. Analog signals are continuous waveforms that represent real-world data, such as audio, temperature, or voltage, while digital signals are discrete, binary representations consisting of 1s and 0s.
During analogue-to-digital conversion, the analog signal undergoes several stages to be accurately represented in digital form. The first stage is sampling, where the continuous analog signal is measured at regular intervals to capture its amplitude at various points in time. The amplitude at each sampling point is then quantized into a specific digital value. This quantization process discretizes the signal by assigning specific bit values for each measured amplitude, forming a digital representation.
The next stage is encoding, where the discrete values obtained from quantization are assigned binary codes. These binary codes serve as a digital representation of the original analog signal. The digital values can then be stored, processed, or transmitted in digital systems, providing numerous advantages such as improved accuracy, lower noise interference, ease of manipulation, and compatibility with digital technology.
Analogue Digital Conversion plays a vital role in various fields, including telecommunications, audio and video processing, control systems, scientific measurements, and computer systems. It enables the conversion of real-world data into a format that can be easily understood and processed by digital devices and algorithms.
