时变系统辨识的基扩展自适应滤波器

L. Rugini, G. Leus
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引用次数: 6

摘要

在本文中,我们将块自适应滤波器的概念扩展为基扩展自适应滤波器。在块自适应滤波器中,假设系统在一个块内是恒定的,而我们的基扩展自适应滤波器通过一组基函数来模拟系统在一个块内的时间变化。这使我们能够大大提高块自适应滤波器的跟踪性能。我们主要关注随机梯度类型的自适应滤波器,尽管可以设想扩展到其他类型的自适应滤波器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Basis Expansion Adaptive Filters for Time-Varying System Identification
In this paper, we extend the concept of block adaptive filters to what we call basis expansion adaptive filters. While in block adaptive filters the system is assumed to be constant within a block, our basis expansion adaptive filters model the time variation of the system within a block by a set of basis functions. This allows us to improve the tracking performance of block adaptive filters considerably. We focus on stochastic gradient type of adaptive filters, although extensions to other types of adaptive filters can be envisioned.
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