A Novel Ternary Composite of Polyurethane/Polyaniline/Nanosilica with Antistatic Property and Excellent Mechanical Strength: Preparation and Mechanism

Chinese Journal of Polymer Science - Antistatic and strength properties are of vital importance for polyurethane rubber used in moving parts of many industrial instruments. Herein, polyurethane was...     

四方结构钙钛矿型化合物La1-xSrxMnO3的电磁特性

应用高压热处理得到了四方结构的La_1-xSr_xMnO₃ (x =0 .1 5～0 .3)化合物 ,该四方相化合物与通常的菱方相化合物在电磁特性方面有很大的不同 ,它们的非金属 金属转变温度T_c 比相应的菱方相样品降低了很多 ,此外还发现 ,当温度足够低时 ,局域Mn离子的长程铁磁序将转变为只有短程序结构的自旋玻璃态 ,上述变化是由四方结构中Mn—O键的拉长所引起的     

Application of local polynomial estimation in suppressing strong chaotic noise

In this paper, we propose a new method that combines chaotic series phase space reconstruction and local polynomial estimation to solve the problem of suppressing strong chaotic noise. First, chaotic noise time series are reconstructed to obtain multivariate time series according to Takens delay embedding theorem. Then the chaotic noise is estimated accurately using local polynomial estimation method. After chaotic noise is separated from observation signal, we can get the estimation of the useful signal. This local polynomial estimation method can combine the advantages of local and global law. Finally, it makes the estimation more exactly and we can calculate the formula of mean square error theoretically. The simulation results show that the method is effective for the suppression of strong chaotic noise when the signal to interference ratio is low.