svpwm

它是基于均匀圆阵的波达方向估计MUSIC算法程序。(It is DOA estimation based on uniform circular arrays MUSIC algorithm)

用MATLAB实现动态聚类或迭代自组织数据分析，有PMUSIC 校正前和校正后的比较，使用起来非常方便，信号维数的估计，欢迎大家下载学习，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，基于kaiser窗的双谱线插值FFT谐波分析，独立成分分析算法降低原始数据噪声。 ( Using MATLAB dynamic clustering or iterative self-organizing data analysis, A relatively before correction and after correction PMUSIC, Very convenient to use, Signal dimension estimates, Welcome to download the study, PV modules contain, MPPT module, BOOST module, inverter module, Dual-line interpolation FFT harmonic analysis kaiser windows, Independent component analysis algorithm reduces the raw data noise. )

PCA技术的一大好处是对数据进行降维的处理。我们可以对新求出的“主元”向量的重要性进行排序，根据需要取前面最重要的部分，将后面的维数省去，可以达到降维从而简化模型或是对数据进行压缩的效果。同时最大程度的保持了原有数据的信息。 (A major advantage of PCA technology is reduce the dimension of the data processing. We can calculate the new " principal component" vector order of importance, according to need to take the most important part of the front, eliminating the rear of the dimensions, dimension reduction can be achieved to simplify the model or the effect of data compression . At the same time maintaining the greatest degree of the original data.)

恢复临时表空间 收回重做日志组的成员 收回丢失指数 重新创建密码文件(Recover temporary tablespaces Recover a redo log group member Recover from a lost index Re-create the password file)

radar jammer in matlab

滚动轴承故障诊断 小波包分解 峭度最大尺度重构(Roller Bearing Fault Diagnosis Based on Wavelet Packet Decomposition kurtosis largest scale reconstruction)

randgen(mu,mu1,mu2,cov1,cov2,cov3) = Random generation of Gaussian Samples in d-dimensions where d = 2 mu, mu1, mu2 = (x,y) coordinates(means) that the gaussian samples are centered around cov1, cov2, cov3 are the covariance matrices and will vary changing the shape of the distribution, example: cov = sigma^2*Identity Matrix, where sigma^2 = a scalar N = the number of gaussian samples used are provided as user input, A test set of N/2 and a training set of N/2 gaussian samples is also generated Output is directed to the command window and a plot of the distributions are generated

Robust image watermarking using two level discrete wavelet transform using constant scaling factor. At the same time you can use any optimization algorithm instead of constant scaling factor.

该程序是用小波函数构建神经网络的源程序。用以分析心电信号、脑电信号等等。(that the procedure was constructed using wavelet neural network function of the source. For the analysis of ECG, EEG, and so on.)

感知准则函数的线性分类器,可以进行分类，二维的感知器准则判别函数算法(ganzhiqi)