Choosing a discrete value that is near but not exactly at the analog signal level leads to
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Analog-to-Digital Conversion Errors. Sampling errors (e.g., aliasing) arise from the sampling rate. Quantization error arises from representing continuous analog values with discrete digital levels.
Converting an analog signal to a digital representation involves sampling and quantization
- Sampling: Measuring the analog signal's value at discrete points in time Errors related to sampling rate are called aliasing or sampling error
- Quantization: Representing the continuous range of sampled analog values using a finite set of discrete digital levels Since the discrete level chosen is usually the closest available level to the actual analog sample value, there is almost always a small difference between the actual analog value and the discrete value used to represent it This difference is called quantization error or quantization noise
PCM (Pulse Code Modulation) is a digital representation method involving sampling and quantization PAM (Pulse Amplitude Modulation) is an analog modulation technique The error specifically arising from approximating an analog value with a discrete level is quantization error