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The ideal Quantization error is 2^N/Analog Voltage
It is also know as quantization error. Now ask google
Quantization noise is a model of quantization error introduced by quantization in the analog-to-digital conversion(ADC) in telecommunication systems and signal processing.
plus or minus half times LSB
No. of quantization levels = 2^10 = 1024Voltage range = 10VQuantization interval = 10/1024 = 9.77 mV / level.
In source coding (analog-to-digital conversion and compression), the difference between the actual analog value and quantized digital value due is called quantization error. This error is due either to rounding or truncation
Error resulting from trying to represent a continuous analog signal with discrete, stepped digital data. The problem arises when the analog value being sampled falls between two digital "steps." When this happens, the analog value must be represented by the nearest digital value, resulting in a very slight error. In other words, the difference between the continuous analog waveform, and the stair-stepped digital representation is quantization error.
Why is there a need for an AD converter in fiber optics communication?
Sampling Discritizes in time Quantization discritizes in amplitude
one syllable LOL
There are two types of quantization .They are, 1. Truncation. 2.Round off.
Yes