基于自适应LMS算法的二维状态空间数字滤波器频域设计

M. Muneyasu, T. Hinamoto
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引用次数: 1

摘要

提出了一种在频域中设计二维状态空间数字滤波器的自适应技术。采用Roesser局部状态空间(LSS)模型描述二维数字滤波器。首先,研究了Roesser LSS模型的频率响应,定义了一个性能指标,其中参考信号由幅度响应和通频带中的群延迟指定。提出了一种基于最小均方法的迭代算法,并计算了自适应过程中所需的梯度向量。最后,通过两个数值算例说明了该方法的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Frequency-domain design of 2-D state-space digital filters using adaptive LMS algorithm
An adaptive technique is developed for designing two-dimensional (2-D) state-space digital filters in the frequency domain. The Roesser local state-space (LSS) model is used to describe the 2-D digital filters. First, the frequency response of the Roesser LSS model is investigated to define a performance index in which the reference signal is specified by magnitude response and group delays in the pass-band. An iterative algorithm based on the least mean square (LMS) method is then presented together with the calculation of gradient vectors required in the adaptive process. Finally, two numerical examples are solved to illustrate the utility of the proposed technique.
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