PSK_8

一些血液模型动力学仿真的文章，希望能够对需要的同学有一些帮助。(Some of the blood dynamics simulation model of the article, I hope to be able to have some students who required help.)

一般最小二乘、递推最小二乘、增广最小二乘用于有色噪声干扰的系统辨识，及辨识结果对比。(General least squares, recursive least squares, extended least squares for the colored noise system identification, and the comparison of recognition results.)

产生两个远程的发送信号,采用归一化处理使其中一个信号有时延,然后求两个接收信号的高阶累积量.(have two long-distance signal transmission, is used to make a treatment in which a signal delay, Then the received signal for the two Cumulant.)

介绍了对信号小波包去噪和求功率谱密度的程序(Introduced the wavelet packet denoising and seek the power spectral density of the program)

汽车牌照识别中车牌定位问题。车牌定位分为两步进行，首先对车牌进行初定位，对初定位后的车牌图像进行二值化、几何矫正，然后再精确定位车牌区域。同时，在matlab环境下仿真了汽车牌照识别，仿真结果表明，本文算法能很好的识别汽车牌照。(The problem of car license plate location. License plate location is divided into two steps, first at the beginning of vehicle license plate location, license plate on the positioning of the image at the beginning of two, the value of geometric correction, and then the accurate location of the license plate area. At the same time, in the MATLAB simulation environment of the vehicle license plate recognition, the simulation results show that, this algorithm can be a very good car license plate recognition.)

sigle phase active power filter using pll control technique will work efficiently when supply is of distorted nature ismp and ismp nature

通信中常用的PN序列产生器的源代码全部打包(Communications commonly used in PN sequence generator, the source code of all packaged)

用差分方程或数值微分解决简单的实际问题。 实验3 插值与数值积分 l 插值问题提法和求解思路 l Lagrange插值的原理和优缺点 l 分段线性和三次样条插值的原理和优缺点 l 用MATLAB实现分段线性和三次样条插值 l 梯形、辛普森积分公式的原理及MATLAB实现 l 数值积分公式的误差——收敛阶的概念 l 高斯积分公式 l 广义积分与多重积分 l 用插值和数值积分解决简单的实际问题。 实验4 常微分方程数值解 l 欧拉方法的原理及龙格-库塔方法的思路 l 局部截断误差和精度的概念 l 龙格-库塔方法的MATLAB实现，包括求解微分方程组和高阶微分方程 (data fitting)

mat lab program for mat

Total Variation Deconvolution using Split Bregman 是一种图像去模糊算法 内涵C的源代码 可供参考使用(Total Variation Deconvolution using Split Bregman introduce a duburring algorithma in image processing)