What do you means by quantization error in an A D converter?

What do you means by quantization error in an A D converter?

Quantization error is the difference between the analog signal and the closest available digital value at each sampling instant from the A/D converter. Quantization error also introduces noise, called quantization noise, to the sample signal.

How does quantization cause noise?

Quantization noise is typically caused by small differences (mainly rounding errors) between the actual analog input voltage of the audio being sampled and the specific bit resolution of the analog-to-digital converter being used. This noise is nonlinear and signal dependent.

What is quantization and quantization noise?

Quantization Noise It is a type of quantization error, which usually occurs in analog audio signal, while quantizing it to digital. For example, in music, the signals keep changing continuously, where a regularity is not found in errors. Such errors create a wideband noise called as Quantization Noise.

What is quantization noise how the quantization noise power can be reduced?

The process of oversampling to reduce ADC quantization noise is straightforward. An analog signal is digitized at an fs sample rate that is higher than the minimum rate needed to satisfy the Nyquist criterion (twice the input analog signal’s bandwidth) and then lowpass filtered.

What is the difference between quantization error and noise?

Quantization error is the difference between the analog signal and the closest available digital value at each sampling instant from the A/D converter. Quantization error also introduces noise, called quantization noise, to the sample signal.

Is the quantization error of an ADC a noise signal?

In the previous article on quantization error for ADC converters , we observed that, for particular cases, the quantization error resembles a noise signal. We also discussed that modeling the error term as a noise signal can significantly simplify the problem of analyzing the effect of the error on system performance.

How to calculate the amplitude of a quantization error?

To analyze the amplitude quantization error more deeply, we need to compute the signal-to-noise ratio, which equals the ratio of the signal power and the quantization error power. Assuming the signal is a sinusoid, the signal power is the square of the rms amplitude: The Fig. 5.4.2 details a single quantization interval.

How to calculate the time average power of the quantization noise?

Now, we can calculate the time average power of the quantization noise as This equation gives us the quantization noise power when the noise signal is uniformly distributed between ±LSB/2. As you can see, increasing the resolution of the quantizer will reduce the LSB and the noise power.