Spectral characterization of brain signal under silent state

Signal Processing has a major role in most of the research areas. It has exploited well in biological and biomedical fields since some decades. Biomedical signal processing has been occupied an important space in current research. In this work, a case of unconsciousness condition has been analysed. Authors have worked for brain signal analysis and characterize using spectral methods. The silence condition along with unconscious state has been analyzed in this work. The spectral analysis methods as FFT, CZT and WT are used to characterize for different states. The spectral change result are clearly indicated in this three different states. For this method, the EEG signal has been acquired from normal, alcoholic and epileptic subjects.