基于VMD的声音信号增强算法研究

In order to improve the signal enhancement effect and reduce the calculation of the actual signal, a new signal enhancement algorithm is proposed by combining the variational mode decomposition(VMD) with the correlation coefficient and the starting point detection criterion of energy. The algorithm uses the starting point detection criterion of energy to judge the starting point of the actual signal to extract the effective signal. Then, the VMD is used to decompose the signal to calculate the correlation coefficient of the intrinsic mode function(IMF) and the effective signal. It extracts useful IMFs by defaulting the correlation coefficient threshold, and reconstructs the filtering signal using the useful IMFs. In order to evaluate the enhancement effect of the algorithm, the algorithm is compared with the empirical mode decomposition(EMD) algorithm. The theoretical analysis and experimental results show that the proposed algorithm has higher output signal to noise ratio than the EMD algorithm under different sampling frequency and different input signal-to-noise ratio, which verifies the stability and accuracy of the algorithm.