归一化二维ARMA晶格参数建模算法

Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Pub Date : 1989-06-01 DOI:10.1109/PACRIM.1989.48379

Hon Keung Kwan, Ying Chun

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引用次数: 2

摘要

提出了一种levinson型算法，用于从观测到的二维系统的输入和输出估计二维自回归移动平均(ARMA)模型。通过引入虚拟预测误差的概念，该算法可以扩展到计算任意ar阶和ma阶的二维模型。结果表明，当输入为白过程时，该算法可以大大简化

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Normalized 2-D ARMA lattice parameter modeling algorithm

A Levinson-type algorithm is proposed for estimating the two-dimensional autoregressive-moving average (ARMA) model from the observed inputs and outputs of an unknown 2-D system. By applying the concept of dummy prediction errors, the algorithm can be extended for computing 2-D models of any AR-order and MA-order. It is shown that the algorithm can be greatly simplified when the input is a white process.<>

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Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing

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