Barker

Matlab的帮助文章，中文版，很有用，使用方便(Matlab help articles, the Chinese version, very useful, easy to use)

ACO解决TSP问题的MATLAB源程序(ACO to solve TSP problems MATLAB source)

二进制和十进制互相转换，比自带的更加方便(Each binary and decimal conversion, more convenient than the native)

ESPRIT算法是一种用于信号到来角(DOA)估计的直接求解方法,本程序中含有3种不同的算法均为自编(ESPRIT algorithm is used to signal the arrival angle (DOA) estimation of the direct methods, its performance at low signal to noise ratio (SNR) and signal correlation will seriously undermine)

用MATLAB实现带状矩阵A的LU分解，参数为A的主对角线元素组成的列向量(A MATLAB implementation by the LU decomposition of banded matrix, the parameters for the A' s main diagonal elements of the column vector)

说明：  快速离散傅立叶变换，实现8点的蝶形图matlab算法(Fast Discrete Fourier Transform to achieve 8:00 of the butterfly graph algorithm matlab)

Simple Exact Solutions to Burgers Equation

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. )

基于交互式多模型的多目标跟踪算法与程序设计代码(Interacting multiple model-based multi-target tracking algorithms and programming code)

最先提出深度学习算法hinton的自动编码器matlab代码，内容是：利用多层rbm进行自动编码的多层特征训练，然后使用梯度算法进行fine turn。可以进行特征提取，也可以进行分类。压缩包里已带有训练用签字图片数据。相应算法说明可以查看hinton于2006年发表在 science的文章(First proposed deep learning algorithm hinton automatic encoder matlab code that reads: multilayer rbm automatic encoding multi-features of the training, and then use the gradient algorithm fine turn. Feature extraction can be classified. With compression bag has been training with the signature image data. Note You can view the corresponding algorithm was published in 2006 in hinton science articles)