pmsmVEHICLE1

data mining algorithm

将图象分块(8*8)，作DCT变换，并作IDCT：DCT是一种可分离图象变换，用来图象压缩编码，IDCT用来解压缩。(The image sub-block (8* 8) for the DCT transform, and to make IDCT: DCT is a separable image transformations, is used to image compression coding, IDCT is used to decompress.)

DOA 1d in CAPON methode

Solutions for SCADA system Communication Reliability in Photovoltaic Power Plants

Hu矩的计算，通过Hu矩计算可以实现图像的旋转、平移的不变特性(Hu Moment, can be achieved by Hu Moment of image rotation, translation invariant features)

利用Matlab仿真软件，完成如图1所示的一个基本的数字通信系统。信号源产生0、1等概分布的随机信号，映射到16QAM的星座图上，同时一路信号已经被分成了实部和虚部，后边的处理建立在这两路信号的基础上。实部、虚部信号分别经过平方根升余弦滤波器，再加入高斯白噪声，然后通过匹配滤波器（平方根升余弦滤波器）。最后经过采样，判决，得到0、1信号，同原信号进行比较，给出16QAM数字系统的误码。(Using Matlab simulation software, as shown in Figure 1 to complete a basic digital communications systems. Signal source such as arise over the distribution of 0,1 random signal, is mapped to 16QAM constellation diagram, at the same time all the way the signal has been divided into real and imaginary parts, behind the deal with the establishment of these two signals in the basis. Real part, imaginary part of the signal, respectively, after a square root raised cosine filter, then add white Gaussian noise, and then through the matched filter (square root raised cosine filter). Finally, after sampling, the verdict has been 0,1 signal, to compare with the original signal is given 16QAM digital system error.)

matlab command for (matlab command for)

The following Matlab project contains the source code and Matlab examples used for orthogonal least squares algorithms for sparse signal reconstruction. Added after previous version ols_gp: Sparse reconstruction by Orthogonal Least Squares followed by Gradient Pursuit ols_nomp: Sparse reconstruction by Orthogonal Least Squares followed by Approximate Conjugate Gradient Pursuit ols_pcgp: Sparse reconstruction by Orthogonal Least Squares followed by Partial Conjugate Gradient Pursuit The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

KNN Classification Code Matlab

这是关于微电网中下垂控制的仿真模型，模型中两个微电源均采用了下垂控制方法。(This model is about the droop control method in microgrid.)