Using Ai leads to multiple downvote 10. What are the common types of quantization techniques?
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Adi S.
Armani W.
The term Quantization Error refers to the maximum error that results from using a finite encoding of an analog signal in digital form. For example, if the value "1" is used to represent any signal between 0.5 and 1.5, the quantization error would be 0.5, as the maximum loss of precision is 0.5. The quantization error thus quantifies how precise an encoding is, serving as an important guideline in the design of analog-to-digital converters. Consider an electrical analog signal that can take values from 0 to 5V. 1) What is the maximum quantization error if 8 bits are used to encode this signal? 2) Generalize this to a code with n bits.
Sri K.
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