基于神经—模糊网络的光伏阵列MPPT控制研究

说明：  滚动轴承故障诊断是机械故障检测中一个重要方面。使用小波包分析和包络分析相结合的方法提取轴承微弱振动信号, 克服了传统包络分析方法易丢失信号有效成分的缺点。包络信号的细化谱较好体现了轴承故障信息。(Bearing Fault Diagnosis of mechanical fault detection in an important aspect. The use of wavelet packet analysis and envelope analysis method of combining extracts bearing vibration signal weak to overcome the traditional envelope analysis method easy to lose the signal disadvantage of the active ingredient. Refinement of the envelope signal spectrum better reflects the bearing fault information.)

UWB信号的组合操作，该代码是基于MATLAB进行编程的。对UWB信号的combination有指导意义(UWB combination)

Kalman滤波在测量方差已知的情况下能够从一系列存在测量噪声的数据中，估计动态系统的状态(Kalman filter can be used to estimate the state of a dynamic system from a series of data that has measurement noise)

With the Matlab the Noisetracking algorithm proposed can be implemented

说明：  PLL性能,仿真,设计handbook,总结了常用的PLL结构和性能,对设计PLL很有帮助(PLL performance,simulation,design handbook)

OFDM —— OFDM(Orthogonal Frequency Division Multiplexing)即正交频分复用技术仿真。(OFDM- OFDM (Orthogonal Frequency Division Multiplexing) that is orthogonal frequency division multiplexing simulation.)

说明：  Matlab编程，可用于对二维图像进行处理，得到相应的轮廓图、Sobel边界图、柱状图等，可以进行灰度调整 (This program is used for 2D image.It can be used to give the outline,Sobel bounadry map and histogram of the image.Also,it can ajust the gray of the image.)

线性调频脉冲压缩的Matlab程序,用于建立主成分分析模型，最终的权值矩阵就是滤波器的系数，包括脚本文件和函数文件形式，与理论分析结果相比，可以动态调节运行环境的参数，可以得到很精确的幅值、频率、相位估计。( LFM pulse compression of the Matlab program, Principal component analysis model for establishing, The final weight matrix is ??the filter coefficient, Including script files and function files in the form, Compared with the results of theoretical analysis, Can dynamically adjust the parameters of the operating environment, You can get a very accurate amplitude, frequency, phase estimation.)

说明：  课程设计上编写的qpsk译码的程序，matlab的开发环境，很实用(Curriculum design program written qpsk decoding, matlab development environment, it is practical )

Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The motivation to write this function is to compute percentiles for Monte ％ Carlos simulations where some simulations are very bad (in terms of goodness ％ of fit between simulated and actual value) than the others and to give ％ the lower weights based on some goodness of fit criteria.(Returns weighted percentiles of a sample given the weight vector w The idea is to give more emphasis in some examples of data as compared to others by giving more weight. For example, we could give lower weights to the outliers. The motivation to write this function is to compute percentiles for Monte Carlos simulations where some simulations are very bad (in terms of goodness of fit between simulated and actual value) than the others and to give the lower weights based on some goodness of fit criteria .)