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To suppress the noise effect on the performance of local mean decomposition (LMD) in signal processing, a new method combined with singular value decomposition (SVD) denosing was proposed in this work. SVD is applied to denoise the observed signal, and then the signal decompose to series product functions (PF) by LMD, meanwhile, SVD is applied to denoise the PF and sum the PF to LMD again. This method can suppress the noise effect to attain high precision PF for time-frequency analysis. Simulation signal and telemetry vibration signal processing results show the effectiveness of the method. Keywords-local mean decomposition; SVD; telemetry; vibration signal processing; denoising

Local Mean Decomposition Combined with SVD and Application in Telemetry Vibration Signal Processing