Quantization error is the difference between the actual analog value and the quantized digital value that represents it after the analog-to-digital conversion process. This error arises due to the finite resolution of digital representation, which can lead to a loss of information when continuous signals are converted into discrete values. Understanding quantization error is crucial because it impacts the accuracy and fidelity of digital signals, influencing data acquisition, signal processing, and the overall performance of electronic systems.
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