自适应滤波器
计算机科学
算法
混叠
卷积(计算机科学)
块(置换群论)
频域
圆卷积
滤波器(信号处理)
核自适应滤波器
快速傅里叶变换
窄带
计算复杂性理论
滤波器设计
数学
傅里叶变换
人工智能
电信
傅里叶分析
人工神经网络
计算机视觉
数学分析
几何学
分数阶傅立叶变换
出处
期刊:IEEE Signal Processing Magazine
[Institute of Electrical and Electronics Engineers]
日期:1992-01-01
卷期号:9 (1): 14-37
被引量:762
摘要
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.< >
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