Frequency-domain and multirate adaptive filtering
Frequency-domain and multirate adaptive filtering
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DOI：
10.1109/79.109205
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发表时间：
1992-01-01
影响因子：
14.9
通讯作者：
Shynk, John J.
中科院分区：
文献类型：
--
作者：
Shynk, John J.
概述了几种频域自适应滤波器，有效地处理离散时间信号，使用块和多速率滤波技术。这些算法实现线性卷积，相当于块时域自适应滤波器，或者它们生成近似的循环卷积。这两种方法都利用了FFT的计算优势。子带自适应滤波也作了简要介绍。这里，输入数据首先由一组近似不重叠的窄带带通滤波器处理。然后，通过取决于可以容忍的混叠程度的因子对变换后的信号进行抽取，从而节省大量计算。几个性能问题被认为是，包括自适应算法的收敛特性和计算复杂性和循环卷积和混叠的影响，收敛的滤波器系数。<>
An overview is presented of several frequency-domain adaptive filters that efficiently process discrete-time signals using block and multirate filtering techniques. These algorithms implement a linear convolution that is equivalent to a block time-domain adaptive filter, or they generate a circular convolution that is an approximation. Both approaches exploit the computational advantages of the FFT. Subband adaptive filtering is also briefly described. Here the input data are first processed by a bank of narrowband bandpass filters that are approximately nonoverlapping. The transformed signals are then decimated by a factor that depends on the degree of aliasing that can be tolerated, resulting in a large computational savings. Several performance issues are considered, including convergence properties and computational complexities of the adaptive algorithms and the effects of circular convolution and aliasing on the converged filter coefficients.<>