A fast converging adaptive filter algorithm for filtered-x systems.
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概要
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The convergence speed of a multiple input adaptive filtering system is often very slow with the conventional NLMS algorithm. This paper describes a new projection algorithm for filtered-x systems with multiple input signals, secondary sources and control points. This algorithm increase the convergence speed of multiple input adaptive filtering systems by eliminating the cross-channel correlation as well as the auto correlation. However, the computational complexity for the proposed algorithm remains only as much as that of the NLMS algorithm. Computer simulation shows twice faster convergence speed than that of the NLMS algorithm, with only a 1.2 fold increase in computation.
- 一般社団法人 日本音響学会の論文
一般社団法人 日本音響学会 | 論文
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