Extraction of life-parameter signals based on lifting wavelet transform

This article through the analysis of the time domain and frequency domain in the life-parameter signals. A lifting wavelet algorithm is proposed in paper based on parity spatial correlation of transformation sample and adjacent sample to detect life signals of local characteristics. Through the construction of wavelet transform prediction filter and update filter completely free of Fourier transform, the algorithm can adaptive efficient decomposition complex signal, and directly extract life-parameter signals and overcome defects of the local characteristics of information missing caused by traditional wavelet denoising in select wavelet function. Through the simulation test, the algorithm has feasibility and practicability, Denoising effect is very good.