4

用3中误差扩散滤波器实现误差扩散，分别是floyd stein, sierra, Stenenson滤波器(Error diffusion filter with a 3 to achieve error diffusion, respectively, floyd stein, sierra, Stenenson filter)

地震数据处理方面matlab代码，能够地震数据进行简单处理和绘图(Seismic data processing matlab code, simple to seismic data processing and graphics)

说明：  C++矩阵运算,可以像matlab那样轻松使用(C++ matrix computation)

MATLAB优化模型求解，对于等效法的构建(MATLAB optimization model, for according to build)

摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进(Abstract In this paper, consider using images to extract the noise regeneration of its ideological image detail is the use of the noise signal was filtered to recycle through the noise signal and the initial wavelet transform de-noising signal comparison of their wavelet coefficients of the wavelet signal when the noise coefficient reaches a certain threshold will be the noise signal superimposed to the wavelet coefficients to retain the initial de-noising signal wavelet coefficients and then using the traditional soft-threshold denoising approach to image denoising in order to achieve the removal of noise can not only be able to retain The purpose of image detail that the methods of the experiment a more traditional approach to denoising and detail in there to keep improving)

char recognition with cnn

这是一个电力系统信号，其中频率为200和300.应用付立叶变换并求频谱图 (This is a power system signal, including frequency of 200 and 300 apply Fourier transform and spectrum requirements)

《MATLAB神经网络30个案例分析》中的第18个例子，案例18 Elman神经网络的数据预测—电力负荷预测模型研究。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 18 cases of 18 Elman neural network research data to predict- power load forecasting model. Hope to have certain help to everybody! )

三电平变流器的空间矢量调制算法的m文件，输入为三相电压电流和母线电压。输出为比较寄存器的值。(M files of the three-level inverter space vector modulation algorithm, the input to the three-phase voltage and current and bus voltage. Output compare register value.)

matlab的pso工具箱 很好用 直接不用编程序了 只需要修改一下函数就可以(The good toolbox matlab pso not directly programmed with the only change it can function)