For this example, the ratio of the sampling frequency to the input frequency is 150. The right curve shows the quantization error. The left curve of Figure 1 depicts two periods of a 10-bit quantized sine wave. An example is illustrated in Figure 1 below.įigure 1. In this case, the quantization error is equal to the input minus a DC value.Īnother interesting case occurs when the input is a sinusoid and the sampling frequency of the quantizer is a multiple of the input frequency. As another example, assume that the amplitude of the input is always between two adjacent quantization levels of the quantizer. For example, if the input of a quantizer is a DC value, the quantization error will be constant. We can easily find examples where the quantization error is predictable and doesn’t act as a noise source. When Does a Noise Model Lead to Valid Results? Then, we’ll discuss the statistical model of the quantization noise and use it to analyze the quantization error. In this article, we’ll look at the conditions under which we are allowed to use a noise source to model the quantization error.

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. In the previous article on quantization error for ADC converters, we observed that, for particular cases, the quantization error resembles a noise signal. Learn the methods and applications of modeling the quantization error of an ADC using a noise source.

Audiosauna quantizer