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The Curve Fitting Based on Sum of Exponential Functions

机译:基于指数函数和的曲线拟合

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Consider a real signal which is sampled at a uniform sampling period T to give a set of 2n data points {x(0),x(T),x(2T),....x([2n-l]T)}.The main purpose of this paper is to present a method of fitting these data points to a curve which is composed of n exponential functions with unknown weightings and exponents in detail, First, the theoretical develop of a sum of n exponential functions is described step by step. Second, according to the theory, we take x(t) as the impulse response of a linear time-invariant system as an example, Finally, the simulation results are present to implement that the new method is quite reasonable for this study.
机译:考虑一个以均匀采样周期T采样的实信号,得到2n个数据点集{x(0),x(T),x(2T),.... x([2n-1] T) }。本文的主要目的是详细介绍一种将这些数据点拟合到由n个指数函数组成的曲线的方法,该曲线具有未知的权重和指数,首先,描述n个指数函数之和的理论发展一步步。其次,根据该理论,我们以x(t)为线性时不变系统的脉冲响应为例,最后,通过仿真结果证明了该方法对于本研究是相当合理的。

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