Parametres11

digital noise noise can eliminated and filters used

Yen 算法求解最短路径 附加测试代码 例程(Yen shortest path algorithm)

shape function in FEM problem with Matlab

用matlab实现的svm程序实例，希望能对感兴趣的人有帮助(Achieved by SVM matlab instance, hoping to help people who are interested in)

These are orthogonal complimentary code version of walsh codes which are or to be used in cdma systems.

图像的DCT压缩（matlab7.0实现），包含了两个源码文件，以及运行截图，编译后可直接运行。(DCT image compression (matlab7.0 implementation), consists of two source files, and run shots, can be compiled to run directly.)

说明：  灰色预测方法的特点表现在：首先是它把离散数据视为连续变量在其变化过程中所取的离散值，从而可利用微分方程式处理数据；而不直接使用原始数据而是由它产生累加生成数，对生成数列使用微分方程模型。这样，可以抵消大部分随机误差，显示出规律性。(The characteristics of the grey prediction method are as follows: First, it regards the discrete data as the discrete value of the continuous variable in its change process, so that the differential equation can be used to process the data; instead of using the original data directly, it generates the cumulative generation. Number, using a differential equation model for generating a series. In this way, most of the random errors can be offset, showing regularity.)

在分析最小均方自适应滤波器(LMSAF)均方误差(MSE)的收敛性时，文献常用统计自相关矩阵代替瞬时自相关矩阵以简化分析，由此得出的收敛条件比较粗糙。本程序指出：不相关高斯输入情况下，无需如上简化，可依据高斯阶矩因式分解定理得到确切的MSE收敛条件，相应的失调表式能更准确地预报失调(In the analysis of LMS adaptive filter (LMSAF) the mean square error (MSE) convergence, the literature commonly used statistical correlation matrix instead of the instantaneous correlation matrix to simplify the analysis, it follows that the convergence conditions are relatively rough. This procedure pointed out: not related to the Gaussian input case, no simplification above may be based on the Gaussian moment factoring theorem to the exact order of MSE convergence conditions, the corresponding offset table style to a more accurate prediction of disorder)

椭圆滤波器，fp=2400hz,fs=5000hz,rp=3dB,rs=25dB,求其3dB时的各项参数！(Elliptic filter, fp = 2400hz, fs = 5000hz, rp = 3dB, rs = 25dB, for its 3dB at the time of the parameters!)

基于蚁群算法的路径规划改进方法，适合各种机器人路径规划(Improved method for path planning based on ant colony algorithm, suitable for a variety of robot path planning)