Ability to detect weak effective seismic signals by utilizing chaotic vibrator system

Taking the advantage of CVS (Chaotic Vibrator System) sensitivity of large-scale periodic phase-state response to quasi-periodic or periodic signals,a series of numerical experiments were made to understand the ability of CVS to detect weak effective seismic signals in the common-shot seismic record distorted by strong stochastic noise. The re-sults demonstrate that the large-scale periodic phase-states of CVS are correlated with the signal composition of the quasi-periodic wavelet sequence constructing from horizontal moveout of seismic events,noise strength and the noise distortion de-gree to signal. For the same kind of events,the higher the noise distortion degree is,the lower the detectable SNR can be reached by CVS. For seismic data with the same noise distortion degree,the closer the scanning seismic velocity (the trial moveout ve-locity) approaches to the accurate velocity,the higher the detectable SNR can be reached by CVS. More-over,the truncating scanning velocities form an asymmetric belt,which indirectly makes CVS achieve a large-scale periodic phase-state and then the ratio of wavelet distortion coefficients in events can be a biggish variable scope.     

Dynamically Reconfigurable Encryption System of the AES

Reconfigurable computing has grown to become an important and large field of research, it offers advantages over traditional hardware and software implementations of computational algorithms. The Advanced Encryption Standard （AES） algorithm is widely applied in government department and commerce. This paper analyzed the AES algorithms with different cipher keys, adopted a novel key scheduler that generated the round key real-time, proposed a dynamically reconfigurable encryption system which supported the AES algorithm with different cipher keys, and designed the architecture of the reconfigurable system. The dynamically reconfigurable AES system had been realized on FPGA. The result proves that the reconfigurable AES system is flexible, lower cost and high security level.     

基于模拟电感的多涡卷混沌电路实验研究

在蔡氏电路中,利用模拟电感电路代替实际电感,进行了混沌及多涡卷混沌吸引子实验研究,在示波器上观察到了较好的波形.实验表明,将模拟电感应用在振荡电路中,电路不但容易起振,而且参数调节非常方便.     

SCH量子阱激光器的混沌同步通信研究

首先对光电子反馈及光电子注入式SCH量子阱激光器的混沌动力学行为进行了研究,然后采用光电子反馈及光电子注入式SCH量子阱激光器分别作为发射系统和接收系统进行混沌同步及同步通信的数值模拟研究.理论及数值模拟研究表明,利用SCH量子阱激光器进行混沌同步通信,可取得良好的通信效果.另外,采用本激光系统进行通信,有利于克服其他系统只能传输小信号的问题.     

Escrow-Free Certificate-Based Authenticated Key Agreement Protocol from Pairings

Key agreement protocols are essential for secure communications. In this paper, to solve the inherent key escrow problem of identity-based cryptography, an escrow-free certificate-based authenticated key agreement （CB-AK） protocol with perfect forward secrecy is proposed. Our protocol makes use of pairings on elliptic curves. The protocol is described and its properties are discussed though comparison with Smart＇s protocol.     

树映射的若干动力性质研究

讨论了周期点为闭集的树映射的特征,连续树映射的混沌集与不变概率测度的关系,以及树映射拓扑熵为零的几个必要条件,所得结论推广了区间上的相应结果.     

一种基于小波网络的混沌时间序列判定

在对混沌时间序列与随机序列的不同特征进行分析的基础上,提出一种可对二者予以区分的判定算法.并结合具有优异特性的小波函数,构造一种小波神经网络.最终给出基于小波网络的集成的混沌时间序列判定-预测算法.     

基于RBF网络的混沌动力系统辨识

提出用RBF神经网络对混沌动力系统进行辨识，设计了一个三层RBF网络结构，仿真实验说明了RBF网络用于学习混沌动力系统时的基本性质。用辨识模型重建吸引子方法定性地评价辨识模型，通过计算辨识模型的Lyapunov指数定量地评价辨识模型的性能，同时推导了RBF网络模型Lyapunov指数的计算公式。仿真结果表明，该辨识模型能很好地逼近原混沌动力系统，准确地体现原混沌系统的动力学特性。     

传统扩频与混沌扩频的CDMA系统在Rappaport Indoor信道下的性能比较

 对Logistic映射的混沌序列作为扩频序列构成的混沌扩频CDMA系统与传统的m序列扩频CDMA系统进行了对比研究,并且对其二者在Rappaport Indoor信道下的性能在SPW上进行了仿真、分析,具有重要实际意义.     

采用混沌扩频序列的异步码分多址通信系统仿真

为了获取适用于异步码分多址系统的混沌序列 ,提出了一种基于扩频序列性能分析准则的优选方法 ,并用系统仿真的方法进行了验证。通过对异步码分多址系统的性能分析 ,总结了扩频序列的性能准则 ,以此为依据对初值不同的混沌序列进行筛选 ,可以得到性能优异的混沌扩频序列。采用 Monte Carlo的方法 ,在无线衰落信道下对采用混沌序列和 Gold序列的异步码分多址系统进行了仿真。结果表明 :优选的混沌序列性能要优于 Gold序列 ,是扩频序列的一种新的选择