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这是一个实现FM调制的信号去噪均衡程序，你可以理解FM调制的原理，同时理解均衡去噪的原理(This is an FM modulated signal denoising achieve a balanced program, you can understand the principles of FM modulation, while understanding the principles of balanced de-noising)

电力系统暂态故障的六种形式仿真，小波分析去噪，提取特征(six form of Power system transient fault, using wavelet analysis)

使用四种方法实现对轴承振动数据的自回归谱（AR）分析，并带有数据(Using four methods to realize auto regressive (AR) analysis of the bearing vibration data, and have the data)

LDPC码的编译码算法，matlab代码(matlab code for LDPC encoder and decoders)

MATLAB人脸识别,运行TEST.m文件看效果就可以了，完成的功能就是识别人脸并标记起来。(MATLAB+human face recognition,run TEST.m to show the performance,To be sure that images in the images file are in the same size,)

光伏电池阵列输出功率受光照强度和温度变化的影响，因此最大功率点跟踪（MPPT）技术广泛应用于光伏系统中。在所有最大功率点(MPP)控制策略中，扰动观察（P&O）MPPT算法因易实现被广泛应用，然而它的缺点是在稳定工作状态下工作点通过MPP 时会导致能量振荡损耗，并且在光照强度或温度发生突变时表现较差的动态响应。在本文中，提出一种改进型变步长扰动观察MPPT 算法，此方法依据工作点动态调整步长变化，与传统固定步长方法比较，本文提出的方法能有效地提高MPPT 速度和转换效率，通过仿真和实验结果分析，验证了此改进算法的可行性。(PV array output power by light intensity and temperature changes, so the maximum power point tracking (MPPT) technology is widely used in photovoltaic systems. In all the maximum power point (MPP) control strategy, the perturbation and observation (P & O) MPPT algorithm because easy to implement is widely used, but its disadvantage is the steady-state operating point by the MPP causes energy oscillations loss, and in the light intensity or temperature mutated poor performance dynamic response. In this paper, we propose a modified variable step size perturbation and observation MPPT algorithm, this method is based on dynamically adjusting the operating point changes in steps, with the traditional fixed-step methods, the proposed method can effectively improve the speed and efficiency MPPT, The simulation and experimental results verify the feasibility of this algorithm.)

解析Comtrade数据文件 电力行业标准数据文件(decode the Comtrade file)

this program implement a svd_dwt watermarking alghorithm

将原信号进行EMD分解，得到一系列IMF分量，这些分量是按频率从高到低排列(EMD decomposition of the original signal to obtain a series of IMF components, which are arranged according to the frequency high to low)

心音信号的处理分析，包含信号采样、截取、小波分解、阈值去噪、信号重构(Processing and analysis of heart sound signals, including signal sampling, interception, wavelet decomposition, thresholding, signal reconstruction)