A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Maximum a posteriori adjustment of adaptive transversal filters in active noise control
2017
2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
This paper develops a novel approach to adaptive active noise control based on the theory of Bayesian estimation. Control system parameters are considered as statistical variables and a formulation for the joint probability density function of them is derived. An optimal solution for the system parameters is then calculated through maximizing the density function. An efficient adaptive algorithm for iterative calculation of the optimal parameters is proposed. It is shown that the wellknown
doi:10.1109/apsipa.2017.8282012
fatcat:7gwscbizxrgtted2abt5rd5vlq