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A step-by-step modeling technique using a generalized adaptive IIR delay filter

机译:使用广义自适应IIR延迟滤波器的逐步建模技术

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摘要

A new modeling technique using adaptive IIR delay filters is presented. In each step of the adaptation process a significant delay parameter of the unknown system is estimated and a new parallel section which is comprised of one, two or four adaptive parameters is added to the previous sections. The number of the coefficients in each step is computed adaptively using a procedure that leads also to an improved initialization of these coefficients which are then adapted via the recursive Gauss-Newton algorithm. Computer simulation results are presented to illustrate the robust convergence properties of the proposed adaptive technique, particularly in modeling unknown systems with impulse responses that include sparse blocks, e.g., a multiple echo path. Because of the parallel and, at most, two-pole structure of the filter sections the stability monitoring requires essentially no computations and the gradient complexity in each adaptive step will be less than that of the parallel realization of adaptive IIR filters.
机译:提出了一种使用自适应IIR延迟滤波器的新建模技术。在自适应过程的每个步骤中,估计未知系统的显着延迟参数,并将由一个,两个或四个自适应参数组成的新并行部分添加到先前的部分中。使用也可导致这些系数的改进的初始化的过程来自适应地计算每个步骤中系数的数量,然后通过递归高斯-牛顿算法对其进行适配。提出了计算机仿真结果以说明所提出的自适应技术的鲁棒收敛特性,特别是在对具有包括稀疏块(例如多回声路径)的脉冲响应的未知系统进行建模时。由于滤波器部分的并行且最多为两极结构,因此稳定性监控基本上不需要任何计算,并且每个自适应步骤中的梯度复杂度将小于自适应IIR滤波器的并行实现。

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