Title :
Pulse Signal De-Noising Based on Integer Lifting Scheme Wavelet Transform
Author :
Li, Jing ; Sun, Hao ; Guo, Yinjing ; Sun, Hongyu
Author_Institution :
Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao
Abstract :
In view of the defects of conventional wavelet transform in denoising the pulse signal, a new denoising method based on the integer lifting scheme is addressed .The integer lifting scheme works without Fourier transform, which inherits the multi-resolution characteristic of the conventional wavelet transform, and thus can speed the operation greatly. The paper using the translation invariant method based on the integer lifting scheme to denoise the pulse signal. Experiment results prove that this new method has high SNR and good performance in pulse signal processing.
Keywords :
medical signal processing; signal denoising; wavelet transforms; integer lifting; multiresolution characteristics; pulse signal denoising; pulse signal processing; translation invariant method; wavelet transform; Biomedical signal processing; Educational institutions; Filters; Fourier transforms; Frequency; Noise reduction; Signal denoising; Signal processing; Sun; Wavelet transforms;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-1120-3
DOI :
10.1109/ICBBE.2007.243