PSet_1

此代码说明马赛克产生的基本方法 很不错，值得看看(This code shows the basic method of generating mosaic is very good, worth a look)

这是matlab6.5 的使用方法，通过学习该书，可以精通matlab(This is matlab6.5 to use, by learning the book can be proficient in matlab)

简单的，易懂的卡尔曼滤波程序的matlab实现程序。(Simple, straightforward Kalman filter matlab program implementation process.)

说明：  遗传算法在雷达成象方面的应用,主要是insar干涉定标解决敏感度句镇病态性问题(Genetic algorithm in radar imaging applications, mainly InSAR calibration solution interfere with the town of morbid sensitivity to the issue of sentence)

魔方还原程序,主函数为Cube,采用CFOP，还原步骤为88步左右，底面十字未优化；采用留个3*3矩阵，前面为froo（数字3），后面为baa（数字-3），左面为leff（数字-2），右面为rigg（数字2），上面为upp（数字0），下面为doo（数字1），(Cube restore process, the main function of Cube, using CFOP, the reduction step is 88 steps or so, the bottom cross unoptimized adopt leave a 3* 3 matrix, in front of froo (figure 3), followed by the baa (figure-3), left the leff (digital-2), the right of rigg (figure 2), at the upp (number 0), following the doo (figure 1),)

用最小二乘支持向量机的算法做一个对正弦波信号的跟踪，跟踪效果很好(Using least squares support vector machine algorithm to make one pair of sine wave signal tracking, tracking works well)

matlab 信号处理 刘波 电子书及附带源码(Bo and signal processing matlab ebook with source code)

仿真图是速度、距离、幅度三维图像，用于图像处理的独立分量分析，关于神经网络控制，对于初学者具有参考意义，相关分析过程的matlab方法，多目标跟踪的粒子滤波器，研究生时的现代信号处理的作业，包括最小二乘法、SVM、神经网络、1_k近邻法。( FIG simulation speed, distance, amplitude three-dimensional image, Independent component analysis for image processing, On neural network control, For beginners with a reference value, Correlation analysis process matlab method, Multi-target tracking particle filter, Modern signal processing jobs when the graduate, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.)

说明：  一个学习bp算法的MATLAB源代码，仅作学习交流之用(A learning algorithm bp MATLAB source code used only for study and exchange)

混沌粒子群算法。将混沌搜索方法，用在粒子群算法中，避免了粒子群的陷入极小值的缺点。(Chaotic particle swarm algorithm. The chaos search method, use on the particle swarm algorithm, avoid the particle swarm into the minimum faults.)