mymatlab

this program use for load flow

展现不同的绘图功能，同时展现不同帧率下的图形图像，给出绘图函数。(To show different graphics, different frame rates while showing graphic images, drawing functions are given.)

i am in need 4g related matlab code.i learning in area of lte-advanced downlink for writing the matlab code

The induction motor is fed by a current-controlled PWM inverter which is built using a Universal Bridge block. The motor drives a mechanical load characterized by inertia J, friction coeficient B, and load torque TL . The speed control loop uses a proportional-integral controller to produce the quadrature-axis current reference iq* which controls the motor torque. The motor flux is controlled by the direct-axis current reference id*. Block DQ-ABC is used to convert id* and iq* into current references ia*, ib*, and ic* for the current regulator. Current and Voltage Measurement blocks provide signals for visualization purpose. Motor current, speed, and torque signals are available at the output of the Asynchronous Machine block.

文件包含了一个关于水果识别的例子包括图像识别处理对模式识别的学习很有帮助(File contains an example about fruit recognition including image recognition processing study is very helpful to pattern recognition)

自己编写的matlab中的简易imhist函数(I have written matlab easy imhist in function)

说明：  介绍了几个用于弱信号捕获的不同的信号处理方法，并对其捕获性能进行了比较。(A number of differential signal processing schemes have been proposed to address weak signal processing.)

说明：  通过实验，熟悉Matlab编程环境，学习Matlab的基本使用方法，包括基本的数学运算、图形绘制和编写m文件仿真及使用帮助命令等。(Through the experiment, familiar with the Matlab programming environment, learning the basic use of Matlab, including basic mathematical calculations, graphics rendering and the preparation of m documents and the use of simulation to help orders.)

极限学习机（Extreme Learning Machine，ELM），该算法随机产生输入层与隐含层间的连接权值及隐含层神经元的阈值，且在训练过程中无需调整，只需要设置隐含层神经元的个数，便可以获得唯一的最优解。与传统的训练方法相比，该方法具有学习速度快、泛化性能好等优点(Extreme Learning Machine regression and classification, introduce a new algorithm for SLFN- Extreme Learning Machine (Extreme Learning Machine, ELM), the algorithm randomly generated input layer and hidden layer connection weights between the hidden layer and dollar threshold, and no adjustment in the training process, only need to set the number of hidden layer neurons, they can obtain a unique optimal solution.)

GMM，LDA,PCA,GMM，LDA,PCAGMM，LDA,PCA(the code of GMM，LDA,PCA)