Noise Reduction Algorithm of Data Acquisition Card Based on Sparrow Search Algorithm Optimized Variational Mode Decomposition

With the increasing demand of high-precision data acquisition card in application, noise suppression in the process of signal acquisition becomes very important. The existence of noise will not only reduce the signal quality and affect the measurement accuracy, but also lead to data distortion and system performance degradation. In order to meet this challenge, a variational mode decomposition (VMD) parameter adaptive denoising method based on sparrow search algorithm (SSA) is proposed in this paper. In this method, the parameters of VMD algorithm are adjusted by SSA optimization technology to adapt to different noise characteristics, so as to improve the effect of signal noise reduction. The experimental results show that the method can significantly improve the signal-to-noise ratio by 8.4 %. These results verify the effectiveness and robustness of the proposed algorithm, and provide an innovative solution for signal noise suppression of data acquisition card.