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关于离散一维信号小波分解，不需要解压密码(On the one-dimensional discrete wavelet decomposition, do not need to extract the password)

PMSM电机的MTPA基本弱磁控制仿真，需要自己设置电机参数、模块中的部分参数也要设置才能进行仿真。(MTPA fundamental weakening control PMSM motor simulation, you need to set the motor parameters themselves, the module also set some parameters can be simulated.)

单位功率因数矫正器(UPQC)由一系列的主动功率滤波器组成，可以调节分布式能源系统中的功率因数，该算法采用神经网络方法，实现功率因数的调节。(A Unified Power Quality Conditioner (UPQC) is an integration of series and shunt active filters to improve power quality in a power distribution system. Model-based control of UPQC has attracted attentions in recent years, which aims to regulate the source current and the load voltage to the desired reference signals in spite of the existence of harmonic components in the supply voltage and the load current, possible sag or swell in the supply voltage, and variations in the load current. However,most of the previous studies did not take the control saturation )

介绍如何使用matcom实现matlab和C++的混合编程，利用matcom将.m文件直接转成.cpp文件(matcom,matlab,c++)

里面有论文,matlab的GUI源码,并结合了simulink(matlab is GUI,and simulink)

In this paper, we try to find out the efficiency of K-means algorithm with respect to different distance measures

自写的基于MUSIC的ISM宽带测角谱估计算法，线性调频信号，4阵元，2目标，正常运行。(My own MUSIC based ISM broadband DOA estimation algorithm. Chirp signals, four elements, two objection. Functioning properly.)

与前边的程序配套使用，模拟实现小波去噪。(And in front of the program to simulate the matching, wavelet denoising.)

这是一份SAR图像变化检测的matlab源代码，通过处理两幅SAR图像的差异图，进行数学形态学处理和聚类分析等方法实现图像的变化检测。(This is a SAR image change detection matlab source code, through the differences the two SAR images processing plan and make mathematical morphology processing and cluster analysis to achieve change detection image.)

This paper review the effectiveness of the parity space approach to identify faults or disturbance in a system. The most commonly used is the observer based procedures, and redundancy relationship method. This involves analytical mathematical analysis of geometry and bilinear algebra. Then, technological advances which require complex computation such as artificial intelligence and genetic algorithm had made tremendous improvement to fault Detection and Isolation (FDI) analysis. Dynamic Parity Space Approach was studied for a discrete state-space model. Important data will be extracted using this approach especially for residual generation which is the backbones of FDI analysis. Subsequently, at each time instant k, the generated residuals will form a matrix that will define the fault signature. It is remarkable that this approach is proven in this study to be effective in diagnosis and faults isolation.