Acceleration_Integration

BP算法的实现，压缩感知l1算法，谢谢了(BP algorithm, the compressed sensing algorithm l1, thank you)

multilevel boost convertermultilevel boost convertermultilevel boost convertermultilevel boost convertermultilevel boost convertermultilevel boost converter

"average" filter, "gaussian" filter, "wiener" filter and the "median" filter

使用线性回归的方法进行预测、训练，适合初学者使用(Using linear regression method to predict training for beginners)

全书包含390 多个计算范例。所有算例的程序是可靠、完整的。读者可以在自己的MATLAB 环境中完全准确地重现本书所提供的算例结果。算例的举一反三，将使读者很快掌握要领，从模仿走向灵活应用。本书既可作为理工科院校研究生、本科生系统学习的教材，又可以作为广大科技工作者掌握和精通MATLAB 的自学用书和使用手册。(The book contains over 390 computing paradigm. All examples of the program is reliable and complete. Readers can own the MATLAB environment Completely and accurately reproduce the book provided by the numerical results. Examples of replicability, the reader will quickly grasp the essentials, from imitation to Flexible application. This book can be used as engineering colleges graduate, undergraduate system of learning materials, but also can work as a scientific and technological Who self-mastery and mastery of MATLAB with the book and manual.)

CMMB中PN序列的生成和强自相关特性在各种条件下的保持(The reasearch of PN sequences in CMMB, about its autocorrelation)

%(第一步加载原始数据并绘图)m文件保存代码;而mat文件保存工作区里面已经加载或计算好的数据 %当前文件夹显示的路径一定要是保存数据和保存代码的文件夹 %“relt”是包含分解结果的矩阵，第一列是原始输入（“gsta（：，2）”），最后一列是趋势。 中间是IMF频率从高到低。 %应该注意的是，由于在eemd.m中，IMF的总数m被指定为log2（N）-1，在某些情况解的线条进行了合并 %因此会比实际分解得到的减少，但在计算周期和表现显著性的时候要将每个模态的周期和显著性计算在内。((The first step is to load the original data and draw) m file saves the code; the mat file saves the data already loaded or calculated in the workspace %% the current folder displays a path that must store data and save the code folder. %"relt" is the matrix that contains the decomposition result, the first column is the original input ("gsta (:, 2)"), and the last column is the trend. The middle is the IMF frequency from high to low. It should be noted that since the total number m of IMFs in eemd. m is specified as log2 (N) - 1, the lines of the solution are merged in some cases % will therefore be less than the actual decomposition, but the period and salience of each mode will be taken into account when calculating the period and performance saliency.)

应用MATLAB编写的二维时域有限差分程序。是初学FDTD的好帮手。建议初学者参考。(Application of MATLAB to prepare two-dimensional finite difference time domain procedure. FDTD are learning a good helper. Recommended reference for beginners.)

说明：  一份详细的matlab手册，里面有关于matlab各个函数的详细介绍及例子(Matlab a detailed manual, which all function on matlab detailed introduction and examples)

multiobjective optimization