matlab

PSO基本算法 实现30维的球形函数的优化求值(fundermental algorithm of PSO)

分形图 利用matlan程序实现了分形图的编码，可以自主调控图像颜色(Mandelbrot set )

简单双摆的阻抗控制例子，使用matlab来模拟的(An example of impedance control for simple double pendulum)

说明：  模拟退火算法的代码及其pdf说明，非常适于初学智能优化算法的同学学习，这个算法非常经典，用处非常广泛(The code of genetic algorithm and its PDF instructions are very suitable for the students who are beginning to learn intelligent optimization algorithm. This algorithm is very classical and has a wide range of uses.)

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

完整的ldpc编码程序，实现数字载体的ldpc编码译码以及信道传输仿真,利用生成矩阵和校验矩阵实现，含有自动生成随机错误以检测纠错能力功能(Ldpc complete coding procedures, digital carrier ldpc codec and channel transmission simulation using the generator matrix and parity check matrix realization, containing automatic generation of random error correction ability to detect functional)

本例子给出了fmincon的使用方法，还有遗传工具箱的使用方法，供新手参考。(This example gives the use of fmincon and genetic toolbox for novice reference.)

analysis dc dc converter

基追踪稀疏重构算法matlab实现，包含信号稀疏过程和重构过程(Based tracking sparse reconstruction algorithm matlab realize, including the process and the sparse signal reconstruction process)

background subtraction technique