Question

If the input analog signal is within the range of the quantizer, the quantization error eq (n) is bounded in magnitude i.e., |eq (n)| < Δ/2 and the resulting error is called?

(a) Granular noise

(b) Overload noise

(c) Particulate noise

(d) Heavy noise

The question was asked in an internship interview.

This is a very interesting question from Analysis of Quantization Errors in section Discrete Time Systems Implementation of Digital Signal Processing

Answer 1

Correct choice is (a) Granular noise

The best explanation: In the statistical approach, we assume that the quantization error is random in nature. We model this error as noise that is added to the original (unquantized) signal. If the input analog signal is within the range of the quantizer, the quantization error eq (n) is bounded in magnitude

i.e., |eq (n)| < Δ/2 and the resulting error is called Granular noise.