What is the Maximum Quantization Error Voltage in a PCM System?

In summary: The quantization levels start at the leftmost point and go to the rightmost point. However, when you quantize a sin wave, the amplitude never stays at 0. It jumps up and down. So if you quantize it at level 1, it stays at level 1, but if you quantize it at level 2, it jumps up to level 2, and so on. This is why you might think that quantizing at level 128 would result in an error voltage of 128/2=64mv. But that's not the case! The error voltage actually jumps up and down between levels 1 and 127.
  • #1
kukumaluboy
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Homework Statement



Q1
A linear PCM system has an input signal 2cos6000PIt volt. Determine,
(a) the minimum sampling rate required,
(b) the number of bits per PCM codeword required for a signal to quantization noise ratio of at least 40 dB,
(c) the maximum quantization error voltage,
(d) the dynamic range in dB.


(a) 6000 Hz (b) n = 7 (c) 15.63 mV (d) 42 dB




The Attempt at a Solution



a) By Nyquist theorom , for a analog signal to be accurate reproduced, it should be sampled at a rate of not less than 2 times the highest frequency.

2cos6000PIt = 2cosPIft
therefore highest f= 6000/2 = 3000Hz
Sample f= 2 x 3000Hz = 6kHz

b)SNq = 6n (in dB)

Therefore 40dB <=6n (bigger or equals to)
n= 7 bits

c) How to Do


d)Dynamic Range = 6n = 6*7 = 42 dB
 
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  • #2
a) By Nyquist theorom , for a analog signal to be accurate reproduced, it should be sampled at a rate of not less than 2 times the highest frequency.

This quote says that given the highest frequency component of B Hz, 2B Hz is sufficient a sampling rate to prevent aliasing.

Nyquist requires a sampling frequency greater than twice the highest frequency component. Thus given the highest frequency component of B Hz, you must have 2B + 1 Hz sampling rate to prevent aliasing.

c) How to Do

Lets say you have an analogue sin wave with an amplitude of x, and you split that wave into 2^n different voltage levels for your digital approximation. How many volts are there per digital voltage level? Now let's say that the analogue signal is right smack bang in the middle of one of these digital levels, what happens if you go up to the next level compared to down to the previous level? This is the choice that represents the quantisation error at its worst (or maximum).
 
  • #3
So Voltage peak = 2 V
V peak to peak = 2*2 = 4V
Num of quantization levels = 2^n = 2^7 = 128 levels
error voltage = (4/128) /2 = 15.63mv (2 deci place) <-correct buT

BUT why use number of quantization levels?shouldt we use number of steps than find step size. Than find the middle value of the step size?
V peak to peak = 2*2 = 4V
Number of steps = 2^n -1 = 2^7 -1= 127 levels
error voltage = (4/127) /2 = 15.75mv (2 deci place) <-wrong ans though.
 
  • #4
A fair question!

If you draw a picture using 1sin(t) and quantize this signal using 1bit, and then 2 bits, how does that work?

There's a trick to where you place your quantization levels that makes all the difference! I drew a (very rough) picture to illustrate the problem which I believe is the basis of your confusion.
 

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  • #5






Your calculations for parts (a) and (b) are correct. To determine the maximum quantization error voltage, you can use the formula Vq = (2^n)/2. In this case, n = 7, so the maximum quantization error voltage would be (2^7)/2 = 64/2 = 32 mV. As for part (d), the dynamic range can also be calculated using the formula SNq = 6n, which would give a value of 42 dB. This means that the system can accurately reproduce signals up to 42 dB above the quantization noise level.
 

What is quantization error voltage?

Quantization error voltage is the difference between the actual analog signal and the quantized digital representation of that signal. It occurs due to the limited resolution of digital devices, which can only represent a finite number of values.

How does quantization error voltage affect digital signals?

Quantization error voltage can introduce distortion or noise into digital signals, which can impact the accuracy and quality of the signal. It is important to minimize this error in digital systems to maintain the integrity of the signal.

How is quantization error voltage calculated?

The formula for calculating quantization error voltage is (Vmax - Vmin) / (2^N), where Vmax is the maximum voltage level, Vmin is the minimum voltage level, and N is the number of bits used for quantization.

How can quantization error voltage be reduced?

Quantization error voltage can be reduced by increasing the number of bits used for quantization, which allows for a finer resolution of the analog signal. Additionally, techniques such as dithering can be used to minimize the impact of quantization error.

What are the potential sources of quantization error voltage?

Quantization error voltage can be caused by a variety of factors, including noise in the analog signal, limitations of the analog-to-digital converter (ADC), and imperfections in the signal processing algorithms. It is important to carefully design and calibrate digital systems to minimize these sources of error.

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