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说明：  灰色理论认为系统的行为现象尽管是朦胧的，数据是复杂的，但它毕竟是有序的，是有整体功能的。灰数的生成，就是从杂乱中寻找出规律。同时，灰色理论建立的是生成数据模型，不是原始数据模型，因此，灰色预测的数据是通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果。 此程序用来作灰色预测。 (Gray theory that the behavior of the system even though the phenomenon is dim, the data are complex, but it is after all, is orderly, there is a whole function. Gray number generation, that is, from the clutter to find out the laws. At the same time, the gray theory is to generate data model, rather than the original data model, therefore, gray forecast data to generate data through the gm (1,1) model by the inverse of the predictive value of the results. This procedure is used for gray prediction.)

Perl 语言编程 第三版 作者:Larry Wall, Tom Christiansen, and Jon Orwant 译者:何伟平 (The third edition of the Perl programming language: Larry Wall, Tom Christiansen, and Jon Orwant Translator: weipin)

盲源分离；求峭度；可以把混合信号分离出来，并且可以比较前后分离信号的峭度(Blind source separation seek kurtosis can separate the mixed signal, and the signal can be compared before and after the separation of kurtosis)

用s函数编写的异步电机的仿真模型，与模块搭建的相比，该模型简单可靠，不易出错(S function is written using the simulation model of induction motor, compared with the module structure of the model is simple and reliable, less prone to errors)

生成ldpc码稀疏矩阵的matlab仿真程序，带有消除小环功能(Generate sparse matrix LDPC code of matlab simulation program, with the elimination of the small ring function)

Very low cost, low component count charger/adapter – replaces linear transformer based solutions • Extremely simple circuit configuration designed for high volume, low cost manufacturing

说明：  使用BP神经网络来预测，其中包括了训练样本和测试样本的划分，神经网路的建立等(BP neural network is used to predict, including the division of training samples and test samples, and the establishment of neural network)

卡尔曼的程序，里面有个基础的卡尔曼程序还有一个图像跟踪的卡尔曼程序。(Kalman s procedure, which has a basic program and a picture of Kalman Kalman tracking procedures.)

这个文件夹里是matlab求三对角矩阵的特征值的一个例子。(This folder is a tridiagonal matrix matlab find the eigenvalues of an example.)

用DWT实现二维小波变换：对图像进行二维小波分解，显示分解结果，最后重构源图像并显示结果 (Achieved using two-dimensional wavelet transform DWT: two-dimensional wavelet decomposition of the image, showing decomposition results, and finally reconstruct the source image and display the results)