标题:A New Method for Designing Farrow Filters Based on Cosine Basis Neural Network
作者:Ma, Tong; Wei, Ying; Ma, Xiaojie
通讯作者:Wei, Y
作者机构:[Ma, Tong; Wei, Ying] Shandong Univ, Sch Informat Sci & Engn, Jinan, Shandong, Peoples R China.; [Ma, Xiaojie] Shandong Univ, Qilu Hosp, Jinan, Shan 更多
会议名称:IEEE International Conference on Digital Signal Processing (DSP)
会议日期:OCT 16-18, 2016
来源:2016 IEEE INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP)
出版年:2016
页码:154-158
关键词:variable digital filter; finite impulse response (FIR) filter; Farrow; structure; cosine basis; neural networks
摘要:In this paper, a cosine basis neural network was proposed to design Farrow filters. Traditionally, Farrow filters are designed in a least-square sense by formulating an error function which reflects the difference between the desired variable bandwidth filter and the practical filter. The filter coefficients are obtained by solving linear equations. Consequently, complex matrix inversion is inevitable and it leads to high complexity when the order of the matrix is high. This problem is solved by the proposed simple and effective method based on cosine basis neural network which convert the problem of coefficient solving into weights training problem.
收录类别:CPCI-S
资源类型:会议论文
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