0
$\begingroup$

Quantization of Continuous-Amplitude Signals

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?

$\endgroup$
1
  • 1
    $\begingroup$ i retitled the graphic because the previous title was completely wrong. $\endgroup$ Commented Dec 21, 2020 at 19:08

2 Answers 2

4
$\begingroup$

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 $\Delta$.

$\endgroup$
3
  • $\begingroup$ This is not correct for negative signal values and moreover the binary number format is two's complement which is different from base 2. $\endgroup$ Commented Dec 21, 2020 at 20:40
  • 1
    $\begingroup$ This answer is still correct for negative values/2s-compliment. All they are saying is ‘this is how we encode the output of the quantizer in binary’. $\endgroup$
    – Dan Szabo
    Commented Dec 21, 2020 at 21:20
  • 1
    $\begingroup$ @DSPinfinity To add to what Dan Szabo said, a note regarding negative numbers and different codes: if x is a signed binary, then two's complement code is obtained with this expression: 2^N - x, and offset binary code is obtained with this: x + 2^(N-1). So the code just adds a constant and doesn't change the weight of LSB. $\endgroup$
    – megasplash
    Commented Dec 22, 2020 at 10:33
2
$\begingroup$

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.

$\endgroup$
5
  • $\begingroup$ your explanation was harder to understand. $\endgroup$ Commented Dec 20, 2020 at 23:35
  • $\begingroup$ I'll try again tomorrow, not on my phone $\endgroup$ Commented Dec 20, 2020 at 23:36
  • $\begingroup$ thank you Laurent. $\endgroup$ Commented Dec 20, 2020 at 23:37
  • $\begingroup$ Meanwhile, do not hesitate to add what you {partly} understood so far $\endgroup$ Commented Dec 20, 2020 at 23:42
  • $\begingroup$ For example, for $\Delta$, the corresponding code is 001 for which the least significant bit is 1. For $3\Delta$, the corresponding code is 011 for which again the least significant bit is 1. $\endgroup$ Commented Dec 20, 2020 at 23:58

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.