tuoluobiaodinggongshi

图像跟踪中的meanshift算法，通过MATLAB实现，有注释(Meanshift image tracking algorithm, MATLAB implementation, there is a comment)

这是本用MATLAB软件绘制平面图及立体图的教程，里面有许多例子(This is the use of MATLAB software to draw plans and three-dimensional map of the tutorial, there are many examples)

交错反激电路matlab，mppt，光伏微逆变器仿真源码。(Interleaved flyback circuit matlab, mppt, photovoltaic micro inverters source of emulation.)

this programme shows how the trajectory works with 3 axis

matlab实用程序百例，关于图像处理的源码(matlab )

一个基于Simulink的UKF教程,它涵盖了从设计，仿真，硬件在环测试，并建立一个独立的嵌入式系统的开发过程。(Unscented Kalman filtering tutorial: Simulink and tilt sensor case study. It covers the development process from design, simulation, hardware-in-the-loop testing, and creating a stand-alone embedded system. The content is supposed to be as simple/introductory as possible.)

支持向量机是用于分类与回归的技术。由于其自身的诸多缺点，如无法获得概率输出，需要估计一个误 差参数C，以及必须使用Mercer 核函数等。相关向量机算法，克服了SVM 上述缺点，RVM 能获得与SVM 相比拟的推 广性能，并且更为稀疏。在此基础上，文中介绍了一种RVM 回归用于分类的新分类方法，用RVRC 来表示。并通过 实验证明了它的可行性。(Support vector machines for classification and regression techniques. Due to its many shortcomings, such as the probability that the output can not be obtained, need to estimate an error parameter C, and the need to use Mercer kernel function and so on. Relevance vector machine algorithm to overcome these shortcomings of SVM, RVM and SVM can be obtained comparable to promote performance and more sparse. On this basis, the paper introduces a RVM regression was used to classify new classification method, RVRC to represent. And through experiments proved its feasibility.)

采用matlab求解矩阵的逆.本程序采用完全的c语言格式在matlab平台下编制(Using matlab to solve the inverse matrix. This procedure completely the c language format in the preparation of matlab platform)

使用MATLAB对DSB-AM进行仿真：双边带幅度调制的过程以及对其中所包含的对信号的频谱分析都可以通过MATLAB中的M语句及相关函数来实现。假如信号m(t)=cos(m)以dsb-am方式调制载波c(t)=cos(20*pi*t),所的信号为y(t)，并将采样频率定为 fs=100Hz,则可在MATLAB中设计程序对该幅度调制的结果进行仿真，绘制已调信号波形和频谱分析。(It is a example for DSB-AM based on MATLAB .)

三种求矩阵特征值的matlab实现：乘幂法、QR算法、yaccbi法求特征值(Eigenvalues of the three Matrix matlab implementation: power method, QR algorithm, yaccbi Eigenvalue Method)