MathWorks-Documentation---MATLAB-V7-Introductory-

matlab下的神经网络的bp 的sin函数(matlab neural network under the bp of the sin function)

说明：  Matlab数值微分的程序，包含下面所列多种微分算法。 MidPoint 中点公式求取导数 ThreePoint 三点法求函数的导数 FivePoint 五点法求函数的导数 DiffBSample 三次样条法求函数的导数 SmartDF 自适应法求函数的导数 CISimpson 辛普森数值微分法法求函数的导数(Matlab numerical differentiation procedure, including a variety of differential algorithm listed below. MidPoint the mid-point derivative formula to strike a three-point method ThreePoint derivative function for a five-point method FivePoint function derivative DiffBSample cubic spline function method of derivative adaptive method SmartDF derivative function CISimpson Simpson numerical differentiation Method derivative function)

动态中继选择和功率分配策略，讨论在不同策略下的功率分配，寻找能使总的功耗最小的方法。(Dynamic relay selection and power allocation strategies discussed in different power allocation strategies, seeking to make the total power consumption is minimal approach.)

说明：  本文研究了GPS接收机的捕获算法，并基于Matlab软件平台和射频前端在Pc上实现了GPS软件接收机样机。(In this paper, the GPS receiver to capture algorithms, and Matlab-based software platform and the RF front-end has been realized in the Pc software GPS receiver prototype.)

盲迭代反卷积法，对压缩包中提供的图片复原效果还好，但其他的图片……我不敢保证(use iterational blind deconvolution to restore a blurred image)

MATLAB CODE FOR QPSK

极化SAR分类方向的很好的入门PPT资料，对各种相干、非相干分解方法以及监督、非监督分类方法做了简单的阐述(polarimetric SAR decomposition and image classification )

盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)

能够非常清楚的看出幅值和时间的变化规律，不用再画时、频图(Can very clear indication of the amplitude and the change of time rule，Don t draw, frequency chart)

小数据量法求Lyapunov的优化程序,把网上的源程序优化过了，勘除了一下错误(small data Lyapunov method for the optimization of procedures and on-line optimization of the source too. In addition to this survey errors)