数据采集与处理2024，Vol.39Issue(2)：481-489,9.DOI:10.16337/j.1004-9037.2024.02.020
基于稀疏约束的低复杂度可变分数时延滤波器
Low-Complexity Design of Sparse-Constrained Variable Fractional Delay Filter
摘要
Abstract
Since variable fractional delay(VFD)filter contains a large number of coefficients to be solved,this paper presents a study on sparse-constrained Farrow structure variable fractional delay filter.We add a L1 regularization constraint to further enhance the sparsity based on coefficient symmetry and optimize its frequency response to approximate a desired frequency response in the minimax error sense.In addition,the alternating direction method of multipliers(ADMM)algorithm is used to iteratively obtain the filter coefficients.Simulation experiments demonstrate that the proposed sparse-constrained VFD filter not only ensures high delay accuracy but also reduces the use of multipliers and adders by 47.69%and 58.60%respectively,thus lowering system computation and complexity greatly.关键词
稀疏约束/可变分数时延滤波器/极大极小/交替方向乘子法/Farrow结构Key words
sparse-constrained/variable fractional delay(VFD)filter/minimax/alternating direction method of multipliers(ADMM)/Farrow structure分类
信息技术与安全科学引用本文复制引用
王静雯,周文静,沈明威,韩国栋..基于稀疏约束的低复杂度可变分数时延滤波器[J].数据采集与处理,2024,39(2):481-489,9.基金项目
国家自然科学基金(62271190) （62271190）
江苏省自然科学基金(BK20221499). （BK20221499）
