Title :
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
Keywords :
Continuous time systems; Delta-sigma modulation; Fourier series; Gaussian approximation; Gaussian noise; Gaussian processes; Independent component analysis; Quantization; Robustness; Signal analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI, USA
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480315
