Gabor-filters

蚁群优化算法 一种根据蚂蚁觅食设计的仿生优化算法 通过matlab实现(An ant colony optimization algorithm based on ant foraging optimization algorithm designed to achieve through matlab)

Example of a Qpsk modulation in simulink(matlab)

基于元胞机的机器人绕行障碍，完美运行，找到最佳路径(Cellular machine-based robot bypass obstacles, the perfect run to find the best path)

matlab教程和有关通信仿真的示例以及详细解释，学习通信仿真的可以看看。(matlab tutorials and examples of communication simulation and detailed explanation, learning communication simulation can see.)

使用matlab编写程序，打靶法实现微分方程求解。(Solving differential equation by shooting method)

GMSK调制，无噪声，给出了高斯滤波器，IQ两路幅度与相位的波形等(GMSK modulation, noise, gives a Gaussian filter, IQ amplitude and phase of the two waveforms)

格型滤波器(lattice filter)Matlab的实现帖子,只用于2阶。请高手看看。不过我还是不会编更高阶的格型滤波器。欢迎一起探讨！zhoujoejx@163.net(lattice filter (lattice filter) Matlab achieve posts. only for the two bands. Look at 19:56. However, I will not write more advanced lattice filter. Welcome to explore! Zhoujoejx@163.net)

Program for Detect hough lines

实现基本（15，11）汉明码的编码及译码过程的MATLAB仿真(Achieve basic (15,11) Hamming code encoding and decoding process of MATLAB simulation)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)