RandomForest

使用MATLAB的文件对发动机放热率和缸压进行计算和绘图程序本文件为做功过程中程序(MATLAB files are used to calculate the engine heat release rate and cylinder pressure)

用matlab语言编写的最小生成树kruskal算法的通用源程序 。(Using matlab language Kruskal minimum spanning tree algorithm for general-purpose source.)

使用matlab编写的一种优化的lms算法 xlms算法,比lms算法更精准(Lms algorithm using an optimized algorithm matlab prepared xlms more accurate than lms algorithm)

数据处理，去除噪声的平滑方法，主要对离散信号的平滑处理(Signal smoothing)

说明：  利用NSGAII算法进行对复杂网络的社区检测(community detection in complex network)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

从台湾清华大学的一个讲义，说的是中医学的发展，运用现代技术的，对大家有很大的启发作用。(A handout from the National Tsing Hua University, said that the development of Chinese medicine, the use of modern technology, a great inspiration to all of us the role.)

Matlab个人学习编程的资料，带有题目，题目是英文的。附有结果图片(Individual learning Matlab programming information, with title, the title is in English. With the results of image)

本书着重介绍了MATLAB在通信仿真，尤其是移动通信仿真中的应用，通过丰富具体的实例来加深读者对通信系统仿真的理解和掌握。 全书共分10章，前3章介绍MATLAB通信仿真的基础，包括Simulink和S-函数；第4~8章分别介绍了信源和信宿、信道传输、信源编码、信道编码、信号交织以及信号调制的仿真模块及其仿真实现过程；第9章介绍了在通信系统的仿真和调试过程中经常遇到的问题及其解决办法；最后，第10章以cdma 2000为例介绍了移动通信系统的设计和仿真。 本书适用于通信行业的大专院校学生和研究人员，既可以作为初学者的入门教材，也可以用作中高级读者和研究人员的速查手册。(MATLAB communication simulation and application examples)

To calculate the BER of QAM for different values of SNR