标题:A new method for designing farrow filters based on cosine basis neural network
作者:Ma, Tong ;Wei, Ying ;Ma, Xiaojie
作者机构:[Ma, Tong ;Wei, Ying ] School of Information Science and Engineering, Shandong University, China;[Ma, Xiaojie ] Qilu Hospital of Shandong University, 更多
会议名称:2016 IEEE International Conference on Digital Signal Processing, DSP 2016
会议日期:16 October 2016 through 18 October 2016
来源:International Conference on Digital Signal Processing, DSP
出版年:2017
页码:154-158
DOI:10.1109/ICDSP.2016.7868535
关键词:cosine basis; Farrow structure; finite impulse response (FIR) filter; neural networks; variable digital filter
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. © 2016 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016228834&doi=10.1109%2fICDSP.2016.7868535&partnerID=40&md5=a134889449f3e747c3ca7ca2a4a4ea4d
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