Bispectral Analysis for Characterizing Signals with Complicated Spectral Features

• Main Authors: Liu, Yi-Shao, 劉怡劭
• Other Authors: Pei-Chen Lo
• Format: Others
• Language: zh-TW
• Published: 1997
• Online Access: http://ndltd.ncl.edu.tw/handle/88612503965608380420

碩士 === 國立交通大學 === 控制工程系 === 85 === Bispectral Analysis for Characterizing Signals with Complicated Spectral FeaturesStudent:Yi-Shao Liu Advisor:Pei-chen Lo Institute of Control Engineering National Chiao Tung University Abstract Conventional Fourier Transformation(FT) analysis is widely used in the areaof analyzing stationary signals. Demands can not be satisfied by only FT analysis since the EUS-EMG (External Urethral Sphincter Electromyography) andEEG (Electroencephalography) analyzed in this thesis are with complicatedspectral features. Bispectral analysis is then used to characterize complicated spectral properties in the bio- medical signals. In this thesis, the EUS-EMG signals were analyezd first by FT analysis and,then by bispectral and cross- bispectral analysis in order to remedy the phase-blind property of FT analysis. Furthermore, we investigate the correlationsbetween EUS-EMG signals under different activities. Secondly, EEG signals were analyzed by bispectral and cross- bispectralanalysis. The QPC features of EEG signals under different physiological stateswere characterized by the bispectral analysis. The spatial correlation of brain electrical activities were explored by cross-bispectral analysis. The results of this thesis depict the superiosity of bispectral and cross-bispectral analysis over conventional FT analysis. For further researches,more parameters can be derived from the bispectrum to extend its applicationsin biomedical signal processing area.