genetic-algorithm

Hibert置乱.编成一个文件.直接调用就可以实现.(Hilbert scrambling. In a single document. Directly call can be achieved.)

这是一个实现信号的FM调制的文档，你可以快速实现信号的FM调制(This is a signal of the FM modulation to achieve a document, you can quickly implement FM modulation signal)

用MATLAB求平均路径长度，本程序很小(Using MATLAB and the average path length of the program is very small)

很优良的PID控制器设计仿真程序与模型,经过严格检验(Very good simulation of PID controller design procedures and models, to undergo a rigorous inspection)

通訊方面眾多原始碼，包含OFDM.CDMA.STTC.Power Control.Antenna Array方面的原碼，用於調變.解調.編碼.傳送.功率控制等方面。(Source of many communications, including aspects of OFDM.CDMA.STTC.Power Control.Antenna Array original code used for modulation. Demodulator. Coding. Transmission. Power control and so on.)

元胞自动机模拟火灾，森林火灾模型，树燃烧状态的转变(Cellular automata simulated fire)

用于现代信号分析与处理课程，正交变换、K-L变换与离散余弦变换。(For modern signal analysis and processing programs, orthogonal transform, KL transform and discrete cosine transform.)

The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1 The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. (The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1985. The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. )

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

典型相关随机森林算法，随机森林算法的改进(Typical correlation Random Forest algorithm)