周期信号的最小二乘拟合算法

M. da Silva, P. Ramos, R. C. Martins, A. Serra
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引用次数: 7

摘要

新一代多用途测量设备正在改变计算机在仪器仪表中的作用。新功能涉及混合设备,如模数转换器和数模转换器,以及数字信号处理技术,能够替代典型的离散仪器,如万用表、分析仪等。信号处理应用经常使用最小二乘正弦拟合算法。周期信号可以解释为多个频率的正弦波的和,即傅立叶级数。本文提出了一种新的多谐波采集信号拟合算法,该算法确定了各谐波的幅值和相位。给出了仿真和实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Least-squares fitting algorithms applied to periodic signals
A new generation of multipurpose measurement equipment is transforming the role of computers in instrumentation. The new features involve mixed devices, as analog-to-digital and digital-to-analog converters, and digital signal processing techniques, able to substitute typical discrete instruments like multimeters, analyzers, etc. Signal-processing applications frequently use least-squares sine-fitting algorithms. Periodic signals may be interpreted as a sum of sine waves with multiple frequencies, the Fourier series. This paper proposes a new algorithm which is able to fit a multi-harmonic acquired signal determining the amplitude and phase of all harmonics. Simulation and experimental results are presented.
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