In analog-to-digital conversion, the difference between the actual analog value and quantized digital value is called quantization error or quantization distortion. This error is either due to rounding or truncation. The error signal is sometimes considered as an additional random signal called quantization noise because of its stochastic behaviour.
Read more about Quantization Error: Quantization Error Models, Quantization Noise Model, Other Fields
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“Truth is the kind of error without which a certain species of life could not live. The value for life is ultimately decisive.”
—Friedrich Nietzsche (1844–1900)