Leach 协议 matlab

说明：  vb调用MATLAB的程序说明,非常好用(vb call the MATLAB program that is very easy to use)

说明：  面包师图像置乱算法,可以图像进行置乱处理。(a method which can resort image)

供初学空时编码（vblast接收）的matlab仿真程序(Space-time coding for beginners (vblast receiver) of matlab simulation program)

FFT的matlab实现,利用蝶形算法计算fft的matlab(Matlab implementation of FFT, using the matlab fft butterfly algorithm)

它是一个遗传算法程序。我从一个例子来修改它。它可以被改变，适合 3 个或更多的 varialbes。

终端EMV认证资料，包含四册，中文翻译版本(EMV terminal certification information, contains four, Chinese translated version)

FOR HELP AND DOCUMENT FOR POWER cvd ffg

详细介绍了matlab插值与拟合方法，包括拉格朗日多项式插值、牛顿插值、分段线性插 值、Hermite 插值和三次样条插值和曲线的最小二乘拟合、多项式拟合方法、最小二乘优化所有程序均有相应的说明与应用实例(Details of the matlab interpolation and fitting methods, including Lagrange polynomial interpolation, Newton interpolation, piecewise linear interpolation Value, Hermite interpolation and cubic spline interpolation and least-squares curve fitting, polynomial fitting method, least squares optimization program has all the appropriate instructions and application examples)

一种基于红外图像分层处理及动态压缩的 DDE 算法。该算法先将原始14bits 红外图像数据信息中的大动态低频背景和小动态高频细节进行分离提取，并分别对提取的细节层和背景层进行相应的灰度增强和灰度抑制处理，再调整和压缩各图层的动态范围并最终合成 8bits图 像。实验结果表明，该算法能较好地保留并突出原始红外图像中的边缘和细节信息，达到了预期设计的目标。 (put forward a DDE algorithm based on hierarchical processing and dynamic compression of infrared image． At first，this algorithm dissociates the background ( with wide dynamic and low frequency) and the detail ( with narrow dynamic and high frequency) in the data information ( 14 bits) of original infrared image，and pick up them respectively． Then，it enhances the gray of details layer and restrains the gray of background layer，and readjusts and compresses dynamic range of each layer． Finally，it composites output image ( 8 bits) ． The experimental results show that the proposed algorithm can retain detail information and edges in original infrared image and carry the purpose of design． )

谱分析的改进程序，适用于初学者，也是刚刚开始学的，水平不是很高(Spectral analysis of the improvement program for beginners, is just beginning to learn, is not very high level of)