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Search Results: 1 - 10 of 43093 matches for " FENG Jiu-chao "
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An Adaptive Denoising Algorithm for Noisy Chaotic Signals Based on Local Sparse Representation

XIE Zong-Bo,FENG Jiu-Chao,

中国物理快报 , 2009,
Abstract: An adaptive denoising algorithm based on local sparse representation (local SR) is proposed. The basic idea is applying SR locally to clusters of signals embedded in a high-dimensional space of delayed coordinates. The clusters of signals are represented by the sparse linear combinations of atoms depending on the nature of the signal. The algorithm is applied to noisy chaotic signals denoising for testing its performance. In comparison with recently reported leading alternative denoising algorithms such as kernel principle component analysis (Kernel PCA), local independent component analysis (local ICA), local PCA, and wavelet shrinkage (WS), the proposed algorithm is more efficient.
Denoising via truncated sparse decomposition

Xie Zong-Bo,Feng Jiu-Chao,

中国物理 B , 2011,
Chaotic communications with multiuser based on unscented Kalman filter

Hu Zhi-Hui,Feng Jiu-Chao,

物理学报 , 2011,
Abstract: To reduce effectively channel noise, parameter mismatch, and inter-user interference, a dual unscented Kalman filter (DUFK) algorithm with combining blind extraction algorithm and different state space models for chaotic communication systems with multiuser is proposed. The simulation results indicate that the algorithm has a faster convergence speed and can realize effectively multiuser communications in a multi-input multi-output channel.
A blind separation method for chaotic signals

Li Xue-Xia,Feng Jiu-Chao,

物理学报 , 2007,
Abstract: Separation of multiple mixing chaotic signals is an important issue in chaos and its applications. An instantaneous blind separation method for linearly mixed chaotic signals is proposed in this paper, in which the uncorrelation characteristics of chaotic signals are utilized. In the case of unknown mixture matrix and chaotic equations, the inverse matrix for reconstructing the source chaotic signals can be directly estimated from the observation by the approach of solving eigenvectors. The results by computer simulation indicate that the multiple mixing chaotic signals, by using the method, can be effectively separated from noisy background even when the signal to noise ration is low.
A new hyperchaotic system

Liu Ming-Hua,Feng Jiu-Chao,

物理学报 , 2009,
Abstract: 基于一个新三维混沌系统,通过引入非线性控制器,构造出一个新的四维超混沌系统,并对该系统的动力学行为进行了研究,包括它的Lyapunov指数谱、分岔图等.分析表明,新的四维系统随着新引入的参数变化呈现周期、复杂周期、混沌及超混沌动力学行为;设计的硬件电路的实验结果也证实了相关结果.
A method for generating chaotic spread-spectrum sequences and their optimized selection algorithm

Yu Zhen-Biao,Feng Jiu-Chao,

物理学报 , 2008,
Abstract: A method for generating chaotic spread-spectrum sequences based on the combined chaotic map is proposed. An optimized selection algorithm based on the property requirement of spread-spectrum sequences and the performance index of multiple access interference is also presented. Simulation is performed for the optimized chaotic sequence, and an optimized logistic sequence is applied to a direct sequence spread-spectrum CDMA system under different channel conditions. The results show that the chaotic spread-spectrum sequences generated by the proposed method have similar performance as the logistic spread-spectrum sequences and have better security.
Effect of system gain on optical chaotic communications systems

Liu Hui-Jie,Feng Jiu-Chao,

物理学报 , 2009,
Abstract: 针对强注入开环结构的外腔反馈半导体激光器混沌通信系统,数值计算得到系统增益与注入系数的定量关系曲线.对比是否使用系统增益对接收系统输出进行校正两种情况下系统的解调性能,表明使用增益校正的相减解调法获得的信息更接近原始信息.通过采用不同频率的正弦信号进行调制,表明信息频率对系统增益没有影响;用不同调制方法对0.2?Gbit/s数字信号加密,结果表明系统增益与信号类型及调制方法无关.
A Method of Chaotic Communication Based on Particle Filter

Wang Shi-yuan,Feng Jiu-chao,

电子与信息学报 , 2008,
Abstract: This paper addresses the issue of chaotic communication with Particle Filter (PF). Combining with the modeling technique for signal, a filtering method based on the particle filter is proposed. Communication is accomplished by using additive chaos masking scheme or multiplicative chaos masking scheme in the transmitter, and message symbols are estimated in the receiver. Simulation results demonstrate that when message symbols are binary codes and M-ary codes, two kinds of chaos masking schemes based on the particle filtering method can perform effectively communication with chaos for retrieving the message signals from the noisy contaminated chaotic signals. In comparison with the UKF-based method, PF-based method has a lower Bit Error Rate (BER). In addition, compared with multiplicative chaos masking scheme, the additive chaos masking scheme based on the particle filtering has a lower bit error rate performance, which is close to ideal BPSK.
An Improved Adaptive Filtering Algorithmand Its Application to Chaotic Echo Cancellation

Yang Bo,Feng Jiu-chao,

电子与信息学报 , 2008,
Abstract: An improved adaptive filtering algorithm is proposed in this paper, and the convergence of the algorithm is analyzed. As an example, the new algorithm is used to cancel echo for the chaotic modulation communication systems experiencing echo channels. The results by computer simulation indicate that the improved algorithm has faster convergence speed and higher accuracy of computation. In addition, the new algorithm is steadier in the case of low SNR.
Design of loop filter for high order charge-pump phase-locked loops

ZHAO Yi-bo,FENG Jiu-chao,

控制理论与应用 , 2011,
Abstract: Considering the characteristics of discrete-time sampling for charge-pump phase-locked loops(CPPLLs), we propose a blocking design method for loop filter in high order CPPLLs. By this method, the CPPLL of any optional order and type can be derived, and phase jitters can be eliminated. Also, high frequency step input or ramp input can be tracked. By analyzing the stability and characteristics of CPPLLs, the range of the candidate loop parameters can be determined, from which the obtained CPPLLs of n-th order and n type are superior to others. Effectiveness of the design method and correctness of the analysis method are validated by the simulations of two types of CPPLLs. The proposed method provides an important reference and guideline for the design of high order CPPLLs Loop filters.
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