iForest-master

基于matlab编写的蜗杆齿面仿真源代码，希望对大家有用(Matlab prepared based on the worm tooth surface simulation source code, everyone would like to be useful)

说明：  计算金属球体RCS的MATLAB程序. 就是教科书上金属球体RCS曲线计算的MATLAB程序.(RCS calculation of the metal sphere of MATLAB procedures. Is textbook metal sphere RCS curve calculated MATLAB program.)

简单潮流计算的小程序，相关的原始数据数据数据输入格式如下： B1是支路参数矩阵，第一列和第二列是节点编号。节点编号由小到大编写 对于含有变压器的支路，第一列为低压侧节点编号，第二列为高压侧节点 编号，将变压器的串联阻抗置于低压侧处理。 第三列为支路的串列阻抗参数。 第四列为支路的对地导纳参数。 第五烈为含变压器支路的变压器的变比 ( Simple little program flow calculation, the raw data of the data related to data entry format is as follows: B1 is the slip parameter matrix, the first column and second column is the node number. Node number from small to big with the transformer for the preparation of slip, the first as the low pressure side of the node number, the second as a high-pressure side of the node number, the series impedance of the transformer low voltage side of the deal placed. As the third branch of the serial impedance parameters. Fourth as a slip of the ground admittance parameters. Strong as with the fifth branch of the transformer transformer turns ratio )

use MATLAB anasys single freedom system mechanism vibrancy experimentation(use MATLAB anasys single system me freedom chanism vibrancy experimentation)

说明：  利用MATLAB语言，实现EMD分解，得到各个IMF分量，再重组降噪(Using MATLAB language, EMD decomposition is realized, IMF components are obtained, and then noise reduction is recombined)

说明：  仿真一个瑞利衰落信道的信道冲激响应，横坐标是信道采样阶数，纵坐标是对应采样阶数的幅值.(Simulation of a Rayleigh fading channel the channel impulse response, the abscissa is the order of channel sampling, corresponding ordinate is the amplitude of the order of sampling.)

mimo bpam modulation simulation for 2x2

MQAM信号的调制识别的误码率，眼图，和星座图的matlab代码，很有用的一个程序(MQAM modulation recognition error rate signal eye diagram, constellation mapping matlab code, very useful program)

针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。(In order to improve short-term wind speed prediction accuracy of wind farms，a combined prediction method based on the wavelet transform is proposed. Firstly，the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next，according to the different characteristics of these components，the least square support vector machine optimized by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictivemodels for the approximate components and the detail components respectively. Then，the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method.)

Tracking of visual phenomena is hard. Very, very hard. And frustrating. You should try not to get discouraged by poor tracking results, but rather concentrate on the specific reasons why your tracker may not be performing well. Is the bad performance predictable from the theoretical properties of the tracker? If so, that s a valuable observation that will serve you well in the future