Fixed point simulation design using q-Markov covariance equivalent realizations

This paper produces all linear state space models which match a prespecified set of input/output cross-correlation and output autocorrelation data, when the model is installed in a computational environment with specified bits assigned to the fixed-point simulation. These results allow the design of digital simulations with no error within the specified set of cross-correlation and autocorrelation data.