指数逼近的奇异方法及其应用

M. V. Balashkov, V. M. Bogachev
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引用次数: 3

摘要

提出了指数逼近的奇异谱变体,它结合了第一级用矩阵束的奇异方法对多项式进行降阶处理和第二级用z逼近方法对降阶指数多项式进行恢复。给出了该方法在电路理论和无线电电子学中的典型应用实例。特别地,在(0,100 π)区间上用28阶指数多项式逼近精度为∝10-12••••10 - 11的贝塞尔函数;采用简化算子方程和矩阵光束的方法,将9级放大器的阶数降低了3倍,AFC近似的绝对误差小于3.10−3;在信噪比为30 ~ 0 dB范围内,解决了雷达脉冲序列参数的辨识问题。考虑了该方法应用的其他可能领域。
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The Singular Method of Exponential Approximation With its Applications
The singular spectral variant of exponential approximation is developed, which combines the order reduction of a polynomial by the singular method of the matrix beams on the first stage and recovering of the exponential polynomial of reduced order by the method of z-approximation on the second stage. Examples of this method application are presented typical for the circuit theory and radio electronics. In particular, the approximation of Bessel functions with accuracy ∝ 10–12 ••• 10–11is performed on the interval (0, 100π) by exponential polynomial of 28th order; the nine-stage amplifier order by sequential application of the methods of abbreviated operator equations and matrix beams is reduced three times with the absolute error of AFC approximation less than 3.10−3; the identification problem of sequence parameters for radar pulses is solved at signal/noise ratio in the range from 30 to 0 dB. Other possible areas of this method application are considered.
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