Quantization of Continuous-Amplitude Signals
This point is not clear to me:
"The smallest quantization levels ($\pm\Delta$) correspond to the least significant bit of the binary code word."
Could someone explain it please?
This point is not clear to me:
"The smallest quantization levels ($\pm\Delta$) correspond to the least significant bit of the binary code word."
Could someone explain it please?
Quantization is a process of representing real values of a signal using integer numbers. That process results in loss of accuracy, which is determined by the selection of the smallest value of quantization level.
If the smallest quantization level is $\Delta$, then every signal level will be rounded to the multiple of that $\Delta$. For example, if a signal level is $x=3,3 V$ and $\Delta = 1V$, then the corresponding quantized representation of the signal level will be $Q(x)=3\Delta$ and the resulting $\hat x = 3_{10} = 11_2$. If $\Delta = 0.5V$, then the signal level will be $Q(x)=7\Delta$ and the resulting $\hat x = 7_{10} = 111_2$.
So, to rephrase the original point: the weight of the least significant bit of the binary code word equals $\Delta$.
That is well-said. Here, $x_Q$ is a multiple of $\Delta$. A value $x$ can be writen as $x_Q+e_Q$, with remainder $|e_Q|<\Delta$. The last significant bit will be either 0 or 1, depending on the location of $|e_Q|$ with respect to $\Delta/2$: if $|e_Q|<\Delta/2$, the last bit is $0$, else it is $1$.
There is not finer quantization level.