Design of IIR Filters With Bayesian Model Selection and Parameter Estimation

作者：Botts Jonathan^*; Escolano Jose; Xiang Ning

来源：IEEE Transactions on Audio Speech and Language Processing, 2013, 21(3): 669-674.

DOI：10.1109/TASL.2012.2226159

• Bayesian methods
• head-related transfer function
• IIR filters
• model comparison
• Monte Carlo methods
• parameter estimation

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.

• 出版日期2013-3