youcheng_jianyan

该程序找到了使用L曲线算法的拐点，是正则化程序中，寻求正则化参数的一种比较好的方法。CORNER Find corner of discrete L-curve via adaptive pruning algorithm.(The program found the algorithm using the L-curve inflection point, is the regularization process, the regularization parameter for a better way. CORNER Find corner of discrete L-curve via adaptive pruning algorithm.)

本代码主要用了多标签K近邻方法（MLKNN）实现对多标签数据进行分类(This code mainly spent more than a label K-nearest neighbor method (MLKNN) to achieve the multi-label data classification)

说明：  这是一个bp的神经网络反演的matlab程序(BPBPBBBBBBBBPPPPPPPPPPPPp)

16QAM源程序,通过噪声信道 用于OFDM通信系统估计(16QAM)

建立了四旋翼飞行器悬停姿态动力学模型，并进行了仿真分析，在开环控制的前提下分析了结构增稳和橡筋阻尼方法对飞行器平台姿态定性的影响，并提出了一种开环控制下实现稳定悬停的策略。(The establishment of a four-rotor aircraft hovering attitude dynamics model and simulation analysis, under the premise of open-loop control analyzes the impact of structural and elastic damping augmentation method for aircraft platform attitude qualitative and presents an open loop realization of stable hover control strategy.)

差分编码的实现、信噪比、误码率等等的实现，并且有截图，比较详细的资料。(Differential encoding implementation, SNR, BER, etc. to achieve, and there are shots, more detailed information.)

基于死去分析的matlab代码，含simulink文件(Based on the analysis of the dead matlab code)

extracting the background

基于滑膜观测器永磁同步电动机无速度传感器控制模型仿真(Based on the synovial observer speed sensorless control of permanent magnet synchronous motor model simulation)

说明：  为考查各种不确定性因素对系统运行的影响，需要大量地重复性潮流计算。结合概率理论形成的概率潮流计算能够充分考虑这些不确定性因素。由概率潮流计算可以得到节点电压、电流、支路潮流的均值、方差、概率密度函数等统计特性，从而更全面地反映系统运行状况。(In order to examine the impact of various uncertainties on system operation, a large number of repetitive power flow calculations are needed. The probabilistic power flow calculation based on probability theory can fully consider these uncertainties. Statistical characteristics of node voltage, current and branch power flow, such as mean, variance and probability density function, can be obtained from the calculation of probabilistic power flow, thus reflecting the operation status of the system more comprehensively.)