hinf_m

论文Motion from Blur, Shengyang Dai and Ying Wu, In Proc. IEEE Conf. on Computer Vision and Pattern 的源代码，采用光流重建方法还原模糊图像(Paper Motion from Blur, Shengyang Dai and Ying Wu, In Proc. IEEE Conf. On Computer Vision and Pattern of the source code, the use of optical flow reconstruction to restore blurred images)

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. )

关于HARQ的组合译码的MATLAB仿真程序(About HARQ MATLAB simulated program)

word文档，关于模糊逻辑控制汽车运动模型，欢迎大家下载(word document on fuzzy logic control motor sport model, welcome to download)

band pass filter 过滤器 matlab(band pass filter matlab)

Keyword: FLC - RLS APPROACHES/ techniques

用MATLAB和VisualC_混合编程及应用(Hybrid Programming with MATLAB and VisualC_ and application)

说明：  单纯型法程序，很基础，很方便学习单纯型法(Simplex method procedure, very basic, very convenient to learn simplex method)

自动控制原理中应用仿真软件对控制系统的时域分析的研究和比较(The application of the principle of automatic control of the control system simulation software, the time-domain analysis and comparison of)

在诸多ICA算法中，固定点算法 (也称FastlCA)以其收敛速度快、分离效果好被广泛应用于信号处理领域。该算法能很好地从观测信号中估计出相互统计独立的、被未知因素混合的原始信号。(In many ICA algorithms, fixed-point algorithm (also known as FastlCA) for its fast convergence and good separation effect is widely used signal processing. The algorithm can estimate from the observed signals statistically independent each other, unknown factors are a mixture of the original signal.)