QI-XIAN-TAO-LI-

圆形天线阵列MUSIC算法的matlab实现，有详细注释(Circular antenna array MUSIC algorithm matlab realize, there are detailed notes)

计算机仿真程序例子，包含多个基本程序，可帮助我们更好的学习matlab(examples of computer simulation program, includes a number of basic procedures that will help us to better learning Matlab)

水平集经典方法的matlab工具箱,可以省却大量精力。(level set by the classical method of Matlab toolbox, we can save a great deal of energy.)

最小二乘拟合，包括3次，9次，15次曲线拟合(Least-squares fit, including three times, nine times, 15 times Curve Fitting)

Regression test case for issue 1134697.

利用分数阶傅立叶变换进行信号参数估计，本程序是对LFM信号的参数中心频率和调频斜率进行估计(Use FRFT signal parameter estimation, the parameters of this program is the center frequency and frequency rate LFM signal is estimated)

sigma-delta ADC的信噪比等的计算(the calculation of SNR、SNDR and so on of sigma-delta ADC)

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. )

对一些图像或者其他数据进行svm处理，得出两种类型数据的对比(SVM on some images or other data processing, it is concluded that two types of data contrast to SVM dealing with some images or other data, it is concluded that the two types of data contrast)

its a micro grid with Dstatcom control and power source converter