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Study on Fast Quasi-Synchronous Sampling Algorithm

机译:快速准同步采样算法研究

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The quasi-synchronous sampling algorithm is an effective method for improving measurement precision when perfect synchronization is impossible. As a computer-intensive method, however, it is limited in many measurement occasions, especially when strict real-time measurement is required. By means of mathematical induction and discrete Z transformation, the recursive operation of the quasi-synchronous sampling in time domain is proved to be a multiple linear-convolution process in this paper, and a fast quasi-synchronous sampling algorithm based on linear convolution and fast Fourier transform is proposed accordingly. It is experimentally validated that the fast algorithm has a higher executing speed than the recursive algorithm.
机译:当不可能实现完美同步时,准同步采样算法是一种提高测量精度的有效方法。但是,作为一种计算机密集型方法,它在许多测量场合都受到限制,尤其是在需要严格的实时测量时。通过数学归纳和离散Z变换,证明了时域准同步采样的递归操作是一个多重线性卷积过程,并且是一种基于线性卷积和快速的快速准同步采样算法。据此提出了傅里叶变换。实验证明,与递归算法相比,快速算法具有更高的执行速度。

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