An approximate analysis of sigma-delta modulation of a Gauss-Markov process

Abstract

Addresses the problem of approximating the quantization noise spectra when a Gauss-Markov process is input to a sigma-delta modulator. The process is modeled using a state space approach. Fine quantization approximations are used to derive expressions for the output spectrum. Results similar to those of Gray's [1990] analysis are obtained