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Multisignal spectral estimation using an iterative relative entropy method

机译:使用迭代相对熵方法的多功率谱估计

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A generalization of a method of spectral estimation by M.A. Tzaness, Ch. Moussas, and N.S. Tzannes (1984) is presented. The algorithm extends the method to the multiple signals case while still using an iterative procedure of the relative entropy method for estimating the spectral densities of the multisignal input data. Several current methods of relative entropy spectral estimation which involve solving N nonlinear equations simultaneously are also presented. The performance of the presented algorithm is compared to the maximum-entropy and other relative entropy methods, in terms of precision and computational efficiency. Classical examples are repeated and compared between the different methods.
机译:M.A.Tzaness,CH的光谱估计方法的概括。摩萨和N.S.提出了Tzannes(1984)。该算法将该方法扩展到多个信号情况,同时仍然使用用于估计多功能输入数据的光谱密度的相对熵方法的迭代过程。还介绍了几种相对熵谱估计的方法,其涉及求解N非线性方程的相对熵谱估计。就精度和计算效率而言,将所提出的算法的性能与最大熵和其他相对熵方法进行比较。重复经典的例子,并在不同的方法之间进行比较。

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