Stochastic properties of quantization noise in memoryless converters affected by integral non-linearity

This paper is focused on the stochastic properties of quantization noise introduced by non-ideal memoryless converters. In particular, overloading effects and integral nonlinearity (INL) are considered. A theoretical model is given, which accurately describes the quantization noise probability density function in presence of overloading noise and both deterministic and stochastic INL. The model is also extended to derive quantization noise power as a function of both input signal and INL stochastic properties. Finally, the results are applied to a memoryless converter affected by Gaussian distributed INL, analyzing the properties of quantization noise.