▍1. ws624
采用累计贡献率的方法，用MATLAB编写的遗传算法路径规划，感应双馈发电机系统的仿真。( The method of cumulative contribution rate Genetic algorithms using MATLAB path planning, Simulation of doubly fed induction generator system.)
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▍3. drag_calculator
simulation thesis pmsm hall sensors matlab simulink foc dtc dtc-svm calculator theta speeb pdf
▍4. EXTENSION
simulation thesis pmsm hall sensors matlab simulink foc dtc dtc-svm calculator theta speeb pdf
▍5. islandsmartgridwithupqc_by_indraneel
simulation thesis pmsm hall sensors matlab simulink foc dtc dtc-svm calculator theta speeb pdf
▍7. wind-pv-cell-diesel-power-for-remote-village-by-i
simulation thesis pmsm hall sensors matlab simulink foc dtc dtc-svm calculator theta speeb pdf
▍8. 硬阈值及当今各种阈值计算方法,连续相位调制信号(CPM)产生
比较了软阈值，硬阈值及当今各种阈值计算方法,连续相位调制信号(CPM)产生，有信道编码，调制，信道估计等。( Comparison of soft threshold and hard threshold and today vario)
▍9. PMS_Motor_level3
matlab source code in the drive motor pmsm new math fuzzy bldc
▍10. hi787
小波包分析提取振动信号中的特征频率，GSM中GMSK调制信号的产生，连续相位调制信号(CPM)产生。( Wavelet packet analysis to extract vibration signal characteristic frequency, GSM is GMSK modulation signal generation, Continuous phase modulation signal (CPM) to produce.)
▍11. weizhi
wsn的一种覆盖方式 利用蚁群算法来优化节点的覆盖面积(WSN coverage of the use of ant colony algorithm to optimize the coverage area of the node )
▍12. Robust-Control-Design-with-MATLAB
Robust Control Design with MATLAB
▍13. sv106
最小二乘回归分析算法，包括AHP，因子分析，回归分析，聚类分析，电力系统暂态稳定程序，可以进行暂态稳定计算。( Least-squares regression analysis algorithm, Including AHP, factor analysis, regression analysis, cluster analysis, Power System Transient Stability Program, can be transient stability.)
▍14. jvfbt
汽车课设货车Matlab驱动力图程序，本程序的性能已经达到较高水平，相控阵天线的方向图（切比雪夫加权）。( Car class-based truck driver trying to Matlab program, The performance of the program has reached a high level, Phased array antenna pattern (Chebyshev weights).)
▍15. yntmf
借鉴了主成分分析算法（PCA），利用matlab写成的窄带噪声发生，含噪脉冲信号进行相关检测。( It draws on principal component analysis algorithm (PCA), Using matlab written narrowband noise occurs, Noisy pulse correlation detection signal.)
▍16. Laser-punching
激光打孔优化算法，优化路径，模拟最优路径(Laser drilling optimization algorithm, optimization of the path, simulation of the optimal path)
▍17. VMD-Parameter-Estimation
变分模态分解在信号分解精度和噪声鲁棒性方面具有明显优势，但需预先确定模态数K，而目前K 只能靠先验知识进行预估，如果预估的K 与实际信号存在差异，会导致分解误差较大。针对以上问题，利用EMD 不需预先设定模态数的自适应分解特点，通过对EMD 分解结果的分析，进行VMD 分解模态数的估计，并通过仿真信号分析及滚动轴承故障信息提取(Variational modal decomposition has obvious advantages in signal decomposition accuracy and noise robustness, but it is necessary to determine the modal number K in advance. At present, K can only be predicted by a priori knowledge. If the estimated K exists with the actual signal Differences, will lead to greater decomposition error. In order to solve the above problems, EMD is used to analyze the decomposition results of EMD without pre-setting the adaptive decomposition of modal number. The estimation of VMD decomposition mode is carried out and analyzed by simulation signal and rolling bearing fault information extraction)
▍18. Parameter-optimization
针对滚动轴承早期故障特征提取困难的问题，提出一种基于参数优化变分模态分解的轴承早期故障诊断方法。首先利用粒子群优化算法对变分模态分解算法的最佳影响参数组合进行搜索，搜索结束后根据所得结果设定变分模态分解算法的惩罚参数和分量个数，并利用参数优化变分模态分解算法对故障信号进行处理。(Aiming at the difficult problem of early fault feature extraction of rolling bearing, an early fault diagnosis method based on parameter optimization variational modal decomposition is proposed. Firstly, the particle swarm optimization algorithm is used to search the parameters of the variational modal decomposition algorithm. After the search, the penalty parameters and the number of components of the variational modal decomposition algorithm are set according to the obtained results. The modal decomposition algorithm handles the fault signal.)
▍19. VMD
本文介绍了一种自适应信号分解新方法-变分模态分解，并且针对滚动轴承早期故障识别困难这一问题，提出了基于VMD的诊断方法。(In this paper, a new adaptive signal decomposition method, variational mode decomposition, is introduced. Aiming at the problem of early fault identification of rolling bearing, a diagnosis method based on VMD is proposed.)
▍20. BayesianDOA
此文献资料很好的概括了贝叶斯用于解决DOA估计的问题(Off-grid Direction of Arrival Estimation Using Sparse Bayesian Inference)
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