ORPD

efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some dataset

齿轮采集的MATLAB数据样本，用于故障诊断，样本采集。(MATLAB data samples collected gear for fault diagnosis, sample collection.)

说明：  主成分分析法，用于将低数据维度，减小有相关性的数据特征。(dimensionality reduction)

说明：  基于一次简单移动平均的时间序列预测算法，取值可随机修改(Based on a simple moving average time series prediction algorithm, the value can be randomly modified)

维数约简工具箱源代码，包括PCA、LLE等学习算法，可用于模式识别、数据挖掘和统计分析等。(dimension reduction toolkit source code, including the PCA, LLE and other learning algorithms can be used for pattern recognition, data mining and statistical analysis.)

please give matlab coding

程序用于求解电力系统最优潮流，采用原-对偶内点算法，并辅以文献，有利于对内点法的学习。(Procedures for solving optimal power flow, the use of primal- dual interior point algorithm, supplemented by literature, internal point of law in favor of learning.)

单端故障解二次方程法算法，结合PSCAD使用，得到故障测距距离(Single-ended fault solution algorithm quadratic equation method, combined with PSCAD used by fault location distance)

Feature Extraction code using in image processing.

power system research