低信噪比时混浊信号降噪的微扰方法

该文提出一种新的混沌信号降噪方法——微扰法,并且给出了微扰法的一个具体实例算法——梯度微扰法。该文还对用梯度微扰法进行混沌信号降噪的效果进行了实验研究。实验结果表明,梯度微扰法能够在低信噪比时得到很好的降噪效果。文中还对梯度微扰法的参数选择问题进行了实验研究。     

声光双稳系统周期微扰反馈混沌控制研究

利用周期微扰反馈的方法,数值研究了声光双稳系统的混沌控制,通过对混沌态施加一定幅值和频率的周期微扰信号,可以将混沌态控制到不动点和周期轨道上。并用实验证明了这种方法的有效性。     

一种新的含噪混沌信号降噪算法

该文针对低信噪比、非高斯加性噪声和混沌动力学系统参数未知的含噪混沌信号降噪问题,提出了一种基于粒子滤波(Particle Filtering, PF)的降噪新算法。该算法将混沌信号和动力学系统中的未知参数作为一个多维状态矢量,利用PF方法递推计算多维状态矢量的联合后验概率分布,进而实现了对混沌信号的最优估计。对于混沌信号轨道分离过快所导致的退化问题,提出了有效的解决方法,并利用核平滑和自回归(Auto-Regression, AR)模型建模的方法分别实现了非时变以及时变参数的递推估计。仿真实验的结果表明,与现有的降噪方法相比,该文提出的新算法能够更加有效地抑制含噪混沌信号中的加性噪声。     

基于提升小波与粒子群相结合的混沌信号降噪

提升小波变换用于混沌信号降噪具有良好的效果,阈值选取与混沌信号降噪后信号的畸变具有紧密联系。为了提高混沌信号中提升小波的自适应能力,降低降噪后信号的畸变率,提出了一种基于提升小波和粒子群相结合的混沌信号降噪方法。该方法在对提升小波变换后的细节部分进行阈值处理时,采用阈值自适应选择方法,并结合粒子群算法全局搜索最优阈值。通过对Colpitts模型进行仿真分析,与标准的软阈值降噪相比,能更好地对混沌信号降噪,并且降噪后信号失真度较小,具有很好的应用价值。     

参数微扰方法对Boost变换器的混沌控制

该文使用参数微扰方法控制电流控制模式Boost变换器在连续电流模式下产生的混沌行为。文中利用离散模型确定了系统运行的混沌区域,并在设计控制环时作了适当的简化,以利于实现。仿真分析和实验都显示,这一方法对于开关电路是有效的。电路的稳定被重新建立,并在此基础上进一步扩大了变换器的工作范围,文中还分析了噪声在控制中的影响。     

混沌调频雷达成像仿真

混沌调频信号类似随机信号,具有较强的抗干扰性能(ECCM)。为了提高成像雷达的抗干扰性能,该文把混沌调频信号用于成像雷达系统,使用n-Way Bernoulli映射产生混沌序列,用该混沌序列进行频率调制得到的信号具有良好的自相关特性,不但可以获得高分辨率雷达图像,还使雷达波形难于辨识。该文分析了信号模型,对点目标进行了仿真,分析了脉冲压缩波形的旁瓣特性。结果表明,混沌调频信号用于成像雷达系统可获得比较理想的点目标图像,在成像雷达系统中有良好的应用前景。     

基于双提升小波的自适应混沌信号降噪

根据信号和噪声的特性不同,本文提出了一种基于双提升小波的自适应混沌信号降噪方法.该方法结合奇异谱和梯度下降算法,分别对双提升小波变换后的近似部分和细节部分进行了分析.一方面,奇异谱分析更大程度的去除了代表噪声的较小奇异值;另一方面,神经网络对非线性阈值的自学习,实现了小波系数的自适应选取,提高了信号的定位精度.通过对Lorenz模型和月太阳黑子时序进行仿真,证实了本文所提方法能够对实际观测的混沌信号进行有效的降噪.     

混沌同步方法的研究

对驱动响应、耦合同步、反馈微扰、自适应同步和脉冲同步等5种同步方法在仿真的基础上进行了比较,介绍了主被动同步方法和高阶级联混沌系统的同步,并阐述了混沌同步与混沌通信的关系.     

电流模式BOOST变换器的参数微扰混沌控制

本文讨论了峰值电流控制模式BOOST变换器在连续电流模式下的分岔和混沌行为，确定了系统运行的混沌区域；通过仿真分析和实验论证，采用参数微扰控制策略对该混沌行为进行控制，并在此基础上进一步扩大了变换器的工作范围，取得了令人满意的结果。     

一种混沌图像加密方法的研究

使用高复杂度的超混沌信号,以增强载波信号的随机性以及不可预测性。本文将无线保密通信技术应用于基于INTERNET的混沌保密通信之中,并在此基础上提出了一种超混沌掩盖-混沌加密方法,其中采用了非线性“扰频”技术。仿真结果显示：密文加密效果好,恢复图像与原图像差别很小。     

一种新的间歇混沌信号Poincaré映像判别方法

针对混沌振子微弱信号检测中间歇混沌信号的判别问题,该文分析了噪声对Poincaré截面的扰动影响,提出一种基于Poincaré映像的新方法,并通过数值仿真对该方法进行了验证,结果表明在强噪声作用下,即使相空间分量输出波形难以进行判别,该方法仍然能够实现间歇混沌发生频率的有效判别,且抑制了混沌振子自发的短时间周期振荡现象,实现了强噪声背景下微弱周期信号的快速有效检测.     

NOISE REDUCTION FOR FAST FADING CHANNEL BY RECURRENT LEAST SQUARES SUPPORT VECTOR MACHINES IN EMBEDDING PHASE SPACES

A new strategy for noise reduction of fast fading channel is presented. Firstly, more information is acquired utilizing the reconstructed embedding phase space. Then, based on the Recurrent Least Squares Support Vector Machines （RLS-SVM）, noise reduction of the fast fading channel is realized. This filtering technique does not make use of the spectral contents of the signal. Based on the stability and the fractal of the chaotic attractor, the RLS-SVM algorithm is a better candidate for the nonlinear time series noise-reduction. The simulation results shows that better noise-reduction performance is acquired when the signal to noise ratio is 12dB.     

基于混沌编码的容错性语音识别

根据混沌编码具有联想记忆的特点，本文提出了一种基于混沌编码的语音识别新方法，该方法首先解决了语音特征矢量维数不固定难于进行混沌编码的难题，其次提出了多样本下语音信号特征的选取原则。实验结果表明，新方法对语音的缺损和噪声干扰具有较好的容错能力。     

基于格型陷波器和Hilbert变换的科里奥利质量流量计信号处理方法

采用格型陷波器滤波和hilbert变换方法处理科里奥利质量流量计传感器的信号,能够精确的计算相位差。该方法将自适应格型滤波器和Hilbert变换结合起来,首先对信号进行滤波,得到的增强信号与其Hilbert变换通过三角运算得出相位差的时间函数,从而计算出相位差。仿真结果表明:该方法计算速度快,实时性好,无需预知信号频率,并且测量精度高,能够检测出相位差的微小变化。     

Experimental network synchronization via plastic optical fiber

In this paper, network synchronization of coupled Chua’s circuits in star configuration is experimentally studied. In particular, plastic optical fiber (POF) is used in the network like communication channels among chaotic nodes to achieve synchronization. The master signal is sent to multiple slaves through a fiber optical coupler with corresponding electrical/optical and optical/electrical stages. An application to encrypted chaotic communication to transmit analogical signal and image messages to multiple receivers is also given.     

Hidden information transmission with the use of the delay effect for formation of a masking signal and separation of transmitted oscillations from this signal

A mathematical model illustrating the method for masking regular oscillations in a transmitter is considered. The method is based on mixing these oscillations with chaotic motions formed from pulse chaotic oscillations with the use of the delay effect. Separation of the transmitted signal in a subtractor is also based on the delay effect. Results of numerical analysis are presented. It is shown that the proposed method of transmission and separation of the useful signal provides for the application of developed chaotic oscillations for masking. Transmission of a masked regular signal is experimentally demonstrated in the decimeter wavelength range. Transistor-coupled oscillators with chaotic dynamics are used for generation of noise-like oscillations. Results of experimental studies on formation of continuous noise-like oscillations from pulse noise on the basis of the delay effect are presented for the case when one of the two series of pulses contains the transmitted regular signal. Oscillation filtering is used along with the delay effect for separation of useful oscillations.     

基于增殖系数的混沌信号提取算法

本文提出一种基于混沌信号特性的信号盲提取算法,由于不同的混沌信号在相空间里面对应着不同的吸引子二阶增长率,利用这个特点定义了增殖系数（Proliferation Exponent,PE）并将其作为混沌信号提取的目标函数.首先分析基于增殖系数的梯度搜索方法在解决盲提取问题时存在不足,并将混沌信号的盲提取问题转化为带约束的优化问题,提出利用改进的粒子群优化算法解决信号盲提取的优化问题,通过惯性系数动态调整和最优位置的扰动,提高算法的寻优性能.实验结果表明基于增殖系数的信号提取算法能有效地提取混沌信号,提取的信号在时域和相空间与源信号接近,同时算法也表现出对噪声污染的鲁棒性.     

Determination of the difference between the arrival times of a chaotic radio pulse at two receivers based on the cross-correlation of of the pulse envelopes

The problem of positioning with the use of ultra-wideband chaotic radio pulses is considered. A method for determination of the difference of signal arrival times based on the cross-correlation function of the envelope of chaotic radio pulses is proposed and studied. It is demonstrated that this method provides an error of estimation of the difference of signal arrival times that is inverse proportional to the frequency band of the radio-pulse envelope. It is found that the noise stability of the method is improved with as the suration of the chaotic radio pulse increases.     

Enhancing the Bandwidth of the Optical Chaotic Signal Generated by a Semiconductor Laser With Optical Feedback

Bandwidth enhancement of chaotic signal generated from chaotic laser by using continuous-wave optical injection is experimentally demonstrated. A distributed feedback semiconductor laser with optical feedback is employed as the chaotic laser. The bandwidth of the chaotic signal is enhanced roughly three times by optical injection into the chaotic laser compared with the bandwidth when there is no optical injection.