中圖分類號：TN911.4 文獻標(biāo)志碼：A DOI: 10.16157/j.issn.0258-7998.256906 中文引用格式： 王元元，梁竹關(guān)，湯鈺輝，等. 基于改進小波-VMD的脈搏信號聯(lián)合去噪方法研究[J]. 電子技術(shù)應(yīng)用，2026，52(6)：90-96. 英文引用格式： Wang Yuanyuan，Liang Zhuguan，Tang Yuhui，et al. A joint denoising method of pulse signal based on improved wavelet-VMD[J]. Application of Electronic Technique，2026，52(6)：90-96.
A joint denoising method of pulse signal based on improved wavelet-VMD
Wang Yuanyuan，Liang Zhuguan，Tang Yuhui，Lei Jiangtao，Li Peng
School of Information，Yunnan University
Abstract： To address the problem of substantial noise introduced during the actual measurement of pulse signals due to environmental changes, subject motion, electromagnetic interference, and other factors, this paper proposes a denoising algorithm based on Variational Mode Decomposition (VMD) combined with an improved wavelet thresholding method. Using the Pearson correlation coefficient as the evaluation criterion, the optimal value of k is determined, and the signal is decomposed into k modes via VMD. Low-frequency components are selected from the resulting Intrinsic Mode Functions (IMFs), while the remaining IMFs containing useful information are denoised using the improved wavelet thresholding algorithm. Finally, the denoised IMFs are reconstructed with the low-frequency components to obtain the final denoised signal. Simulation experiments using synthetic data were conducted to compare the proposed method with several other denoising approaches, including VMD, VMD-SSA, VMD-SG, ICCEMDAN-WT, and MEEMD-WT. The results demonstrate that the proposed algorithm achieves superior performance in terms of Signal-to-Noise Ratio (SNR), Mean Squared Error (MSE), and Normalized Cross-Correlation Coefficient (NCCC). Validation on actual measured pulse signals further confirms that the proposed algorithm effectively removes noise while preserving the key features of the pulse signal.
Key words : VMD；wavelet threshold denoising；pulse signal；Pearson correlation coefficient
