Meaning
Hardware components that translate continuous physical voltages into discrete digital values allow computer systems to process real world data. This analog digital converter determines the resolution of the signal by the number of bits available in each sample. High bit counts result in a more accurate representation of the original waveform.
Bit Resolution
Accuracy in signal conversion depends on the total steps available to divide the voltage range. The analog digital converter uses these steps to assign a numerical value to the input at a specific moment. A twelve bit system provides four thousand ninety six levels of detail.
Sampling Frequency
Rate of capture defines how often the converter looks at the input signal. When an analog digital converter operates at high speeds, it captures fast transients that slower devices miss. The nyquist theorem dictates that the rate must double the highest frequency present.
This prevents aliasing in the recorded data. Engineers specify this rate based on the bandwidth of the sensors and the requirements of the control loop. Faster sampling increases the volume of data stored in the memory buffer and demands more processing power from the central unit.
Conversion Error
Discrepancies between the actual voltage and the digital output originate from quantization and noise. Every analog digital converter has a noise floor that limits the effective bits of performance. Thermal variations also drift the zero point of the hardware.