The purpose of this paper is to exploit compressive sensing （CS） method in dealing with electrocardiography （ECG） and electroencephalography （EEG） signals at a high compression ratio. In order to get sparse data of ECG and EEG signals before being compressed,a combined scheme was presented by using wavelet transform and iterative threshold method; then,compressive sensing is executed to make the data compressed. After doing compressive sensing,Bayesian compressive sensing （BCS） is used to reconstruct the original signals. The simulation results show that compressive sensing is an effective method to make data compressed for ECG and EEG signals with high compression ratio and good quality of reconstruction. Furthermore,it shows that the proposed scheme has good denoising effects.
Two kinds of controllable doped left-handed materials （DLHMs） were designed by inserting inductors and capacitors into the traditional left-handed material （LHM） as heterogeneous elements respectively, which are DLHM with inductors （LDLHM） and DLHM with capacitors （CDLHM）. The characteristics of transmission spectrum were studied by using finite-difference time-domain method （FDTD）. Compared with the traditional LHM, the resonance strength of the LDLHM is weakened and the pass-band is narrowed, but with the increase of the value of the inserted inductors, the bandwidth is expanded. As capacitors inserted into the LHM, the pass-band of the CDLHM is expanded, but the pass-band is shifted to low frequency and the bandwidth is narrowed with the increase of the value of the capacitors, meanwhile, a new generated pass-band is also shifted to low frequency. Therefore, a quantized controllable doped left-handed material can be achieved.
LIU WenZHANG Hong-xinWANG HongLU Ying-huaCHEN NanMEN Shuo
