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Performance Comparison of Neural Networks for HRTFs Approximation 被引量:4

Performance Comparison of Neural Networks for HRTFs Approximation
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摘要 0 IntroductionHeadrelatedtransferfunctions(HRTFs)refertothespectralfilteringfromsoundsourcestolisteners’eardrums.SinceHRTFs(non?.. In order to approach to head related transfer functions (HRTFs), this paper employs and compares three kinds of one input neural network models, namely, multi layer perceptron (MLP) networks, radial basis function (RBF) networks and wavelet neural networks (WNN) so as to select the best network model for further HRTFs approximation. Experimental results demonstrate that wavelet neural networks are more efficient and useful.
作者 朱晓光
出处 《High Technology Letters》 EI CAS 2000年第1期16-19,共4页 高技术通讯(英文版)
关键词 Multi layer PERCEPTRON (MLP) RADIAL basis function (RBF) NETWORKS Wavelet neural NETWORKS (WNN) Head related transfer functions (HRTFs) Multi layer perceptron (MLP), Radial basis function (RBF) networks, Wavelet neural networks (WNN), Head related transfer functions (HRTFs)
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