Title :
Extraction of life-parameter signals based on lifting wavelet transform
Author_Institution :
Inf. Eng. Coll., Inner Mongolia Sci. & Technol. Univ., Baotou, China
Abstract :
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.
Keywords :
filtering theory; signal denoising; signal detection; wavelet transforms; adjacent sample; decomposition complex signal; denoising effect; frequency domain; life parameter signals extraction; lifting wavelet transform; parity spatial correlation; prediction filter; time domain; transformation sample; update filter; Algorithm design and analysis; Data mining; Educational institutions; Information filters; Noise reduction; Prediction algorithms; Wavelet transforms; Life-parameter; Lifing wavelet; SNR;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057567
