MATLAB-iterative-equation

svkernel函数为核函数 ,容易实现 , 参照核函数的公式编写代码就成(matlab)

dsine used for sine filtering in dsp

主要介绍偏微分方程的几个主要的数学模型使用matlab写的(introduced PDE several major mathematical model was made using the Matlab)

Huffman code的matlab程序，用一幅图像作为training image得到像素的Huffman编码，然后编码另外一幅图像，求得average code length。(Huffman code of matlab program, with an image as a training image pixel Huffman coding, then coded another image obtained average code length.)

实现CDMA的matlab程序，程序很完整，需要的自己来看啦(CDMA-matlab program to achieve the program is very complete look at the needs of their own啦)

结合boosting与神经网络方法相结合的分类方法，效果好，识别率高(Combining boosting and neural network approach for robust classification, effective with high recognition rate)

最优波束形成算法（标准矩形阵列的波束方向图的幅度、切面极坐标、切面图、幅度等高线图等）(Optimal beamforming algorithm (standard rectangular array beam pattern amplitude, the section in polar coordinates, the section map, magnitude contour map, etc.))

Hespanha的混杂系统控制模拟仿真教程(Simulation of hybrid systems (Hespanha))

【转】协同过滤代码，用于推荐系统，包括基于项目和基于用户两种情况。实现基于用户和基于项目的协同过滤算法。 实验所用数据为MovieLens – a web-based movies recommender system with 43,000 users & over 3500 movies. 保存在ga.mat文件用，由于ga.test测试集过于庞大，全部用来计算的话耗时庞大，所以每次计算时随机选择部分，具体函数的使用请参照probar.m。我所得到的实验结果保存在results1-results8.mat里面。([Turn] collaborative filtering code for the recommended system, including project-based and user-based two cases. User-based and project-based collaborative filtering algorithm. Experimental data for MovieLens- a web-based movies recommender system with 43,000 users & over 3500 movies. Saved in ga.mat file with Because ga.test test set is too large, all used to calculate the time-consuming massive, so every time The calculated random selection portion, the use of the specific function, please refer to probar.m. I obtained experimental results are saved inside results1-results8.mat.)

粗糙集属性约简过程中的下近似及上近似域的matlab实现(Rough set attribute reduction process under the domain of approximate and matlab)