EEMD

matlab软件中基于Simulink模型的设计，有关于RTW和xpc实验(matlab software Simulink model-based design of experiments about RTW and xpc)

利用labview与matlab结合实现人脸定位算法 置入mathscript(Labview matlab combined with the use of a face localization algorithm implementation into mathscript)

Artificial neuarl network is one of the recent developed softcomputing technique work on the basis of human neural system. The traning and testing are the two important process in artificial neural network. ther are many techniques used for the training of artificial neural network, however backpropagation algorithm is the traditional method for training purpose. this document contain the mathematical formation of artificial neural network with backpropagation training.

实现基础RD成像算法，3个点目标仿真成像。(Basis for achieving RD imaging algorithm, three-point target simulation imaging.)

说明：  singular value decomposition

遗传算法进可攻倘若覆盖就换个家看看回归那个符号那风格(Progressive genetic algorithm could be another attack if the coverage on the house to see)

实现通信中SDPSK调制和解调的matlab源程序(Realize communication SDPSK modulation and demodulation matlab source)

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)

code for data preproccess in 3 steps :Swap lines with missing value NaN, zscore Normalization, Standardization process

基于matlab的关于遗传算法的一些重要的函数的m文件，供读者参考 (Based on some of the important matlab m file on genetic algorithm function for readers reference)