Design of IIR Filters With Bayesian Model Selection and Parameter Estimation
Jonathan M. Botts, José Escolano, Ning Xiang · IEEE Transactions on Audio Speech and Language Processing · 2012
Bayesian model selection and parameter estimation are used to address the problem of choosing the most concise filter order for a given application while simultaneously determining the associated filter coefficients. This approach is validated against simulated data and used to generate pole-zero representations of head-related transfer functions.