The ideal Quantization error is 2^N/Analog Voltage
It is also know as quantization error. Now ask google
Mid riser quantization is a type of quantization scheme used in analog-to-digital conversion where the input signal range is divided into equal intervals, with the quantization levels located at the midpoints of these intervals. This approach helps reduce quantization error by evenly distributing the error across the positive and negative parts of the signal range.
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
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.
Quantization range refers to the range of values that can be represented by a quantization process. In digital signal processing, quantization is the process of mapping input values to a discrete set of output values. The quantization range determines the precision and accuracy of the quantization process.
one syllable LOL
Sampling Discritizes in time Quantization discritizes in amplitude
There are two types of quantization .They are, 1. Truncation. 2.Round off.
The amount by which it deviates from ideal.
quantisation noise decrease and quantization density remain same.