一种计算指数拟合的有效方法

Ivor Dülk, T. Kovácsházy
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引用次数: 1

摘要

在许多实际应用中,为了识别或跟踪模型参数,经常会出现将指数曲线拟合到噪声测量数据的问题。在嵌入式系统中,拟合的计算负荷和计算速度对于最小化成本和最大化性能至关重要。本文提出了一种快速有效地计算三参数指数回归模型的方法。最后进行了计算机仿真,并与现有方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A computationally effective method for calculating the exponential fit
In numerous practical applications, the problem of fitting an exponential curve to noisy measurement data often arises for identifying or tracking model parameters. In embedded systems, the computational load and speed of the computation of the fit are crucial to minimize costs and to maximize performance. In this paper, a method is developed for the rapid and effective computation of the three parameter exponential regression model. Computer simulations are also presented and the proposed method is compared with some existing techniques.
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