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Cumulant based identification approaches for nonminimum phase FIR systems

机译:非最小相位FIR系统的基于累积量的识别方法

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Recursive and least squares methods for identification of non-minimum-phase linear time-invariant (NMP-LTI) FIR systems are developed. The methods utilize the second- and third-order cumulants of the output of the FIR system whose input is an independent, identically distributed (i.i.d.) non-Gaussian process. Since knowledge of the system order is of utmost importance to many system identification algorithms, new procedures for determining the order of an FIR system using only the output cumulants are also presented. To illustrate the effectiveness of the methods, various simulation examples are presented.
机译:开发了用于识别非最小相位线性时不变(NMP-LTI)FIR系统的递归和最小二乘方法。这些方法利用了FIR系统输出的二阶和三阶累积量,其输入是一个独立的,均匀分布的(i.i.d.)非高斯过程。由于系统阶数的知识对于许多系统识别算法至关重要,因此,也提出了仅使用输出累积量来确定FIR系统阶数的新过程。为了说明该方法的有效性,给出了各种仿真示例。

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