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JOINT NOISE REDUCTION METHOD BASED ON VARIATIONAL MODE DECOMPOSITION AND PERMUTATION ENTROPY
JOINT NOISE REDUCTION METHOD BASED ON VARIATIONAL MODE DECOMPOSITION AND PERMUTATION ENTROPY
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机译：基于变分模式分解和排列熵的联合降噪方法
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摘要
A joint noise reduction method based on variational mode decomposition and a permutation entropy, relating to the technical field of signal processing. The joint noise reduction method comprises the following steps: first, reading a noisy signal x(t); calculating the value of a scale index a of x(t), and determining the number K of decompositions of variational mode decomposition (VMD) according to the value of a; second, performing K-layer VMD decomposition on the noisy signal x(t) to obtain a series of variational modal components u k; and then calculating a permutation entropy value of the variational modal components u k to further determine the value of K; and finally, removing a noise component u k and reconstructing the remaining components u k to obtain a signal subjected to noise reduction filtering. The method has advantages of adaptively determining the number of decompositions, effectively removing the noise component, and having strong robustness and real-time performance, can perform effective noise reduction filtering processing on a signal, and has good technical value and application prospect for a non-stationary signal noise reduction method.
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机译：基于变分模式分解的联合降噪方法和置换熵，与信号处理技术领域有关。联合降噪方法包括以下步骤：首先，读取嘈杂的信号x（t）;计算x（t）的刻度索引A的值，并根据a的值确定变分模式分解（VMD）的分解数k;其次，对噪声信号x（t）执行k层VMD分解，以获得一系列变分模态分量U k ;然后计算变形模态分量U k 的置换熵值，以进一步确定k的值;最后，去除噪声分量U k 并重建剩余的组件U k 以获得经受降噪滤波的信号。该方法具有自适应地确定分解的数量，有效地去除噪声分量，并且具有强大的鲁棒性和实时性能，可以对信号进行有效的降噪滤波处理，并且具有良好的技术价值和非技术性的应用前景。 - 间信号降噪方法。
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