SinglePhase_ActivePowerFilter

汽车操作动力学的简化2自由度模型，采用Matlab实现。可以实现对汽车的动力学仿真(Automotive operations to simplify the kinetics of 2-DOF model, using Matlab to achieve. Can be achieved on the vehicle dynamics simulation)

基于数值计算的矩阵分解。用MATLAB实现的LU分解算法(Based on the numerical calculation of decomposing matrix. MATLAB LU decomposition algorithm)

Matlab 通用神经网络代码；介绍说明以及源代码(General Matlab neural network code introductory notes, and source code)

协作分集信道容量的研究英文的，给出了不同情况下的模型()

应用matlab编程算法实现的匹配滤波器的编程源码(Matlab programming algorithm applied to achieve the programming source code matched filter)

说明：  基于matlab的求矩源程序,程序中求出了经典7阶矩,并继续求出了后5阶矩,即一共求出了12阶矩.(Moment based on matlab source of demand, the program derived a classic 7-order moment, and continue to derive a 5-order moment, namely, to derive a total of 12 moments.)

基于matlab开发的sep协议，很好可用(Wireless sensor network routing)

matlab program numerical methods

矩阵运算matlab源程序，希望对有用着提供帮助(Matrix matlab source, hope to useful help)

The basic steps of the connected-component text extraction algorithm are given below, and diagrammed in Figure 10. The details are discussed in the following sections. 1. Convert the input image to YUV color space. The luminance(Y) value is used for further processing. The output is a gray image. 2. Convert the gray image to an edge image. 3. Compute the horizontal and vertical projection profiles of candidate text regions using a histogram with an appropriate threshold value. 4. Use geometric properties of text such as width to height ratio of characters to eliminate possible non-text regions. 5. Binarize the edge image enhancing only the text regions against a plain black background. 6. Create the Gap Image (as explained in the next section) using the gap-filling process and use this as a reference to further eliminate non-text regions the output.