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Design of IIR Filters With Bayesian Model Selection and Parameter Estimation

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3 Author(s)
Botts, J. ; Grad. Program in Archit. Acoust., Rensselaer Polytech. Inst., Troy, NY, USA ; Escolano, J. ; Ning Xiang

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.

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Audio, Speech, and Language Processing, IEEE Transactions on  (Volume:21 ,  Issue: 3 )