emg

if you would like bpsk costas

说明：  五点差分型多重网格方法：各种插值算子的比较）(Five-point difference-type multi-grid methods: a variety of interpolation operator of comparison))

matlab code it is describe about the inpainting of the image

Schaum s Outlines Linear Algebra,Fourth Edition

数值分析中的JOCOBI迭代的MATLAB源程序，按照程序中的提示输入，可以直接运行得出结果(Numerical analysis of iterative JOCOBI the MATLAB source code, in accordance with the procedure prompted to enter, the outcome can be directly run)

EzStego的全部源码，适用于Windows/Linux等等环境(EzStego all the source code for Windows/Linux environment, etc.)

thresholding_demo.m interactively loads an image stack, performs thresholding based on the Laplace operator and extracts time-series information from the image stack based on a binary mask provided by the thresholding operation.

这个zip文件中包含的原则和双方的扩展卡尔曼滤波（EKF）和全球定位系统（GPS）算法简要说明。它的主要目的是提供一个相对容易实现的扩展卡尔曼滤波，在我们使用的输入函数的形式，而不是禁止函数处理符号表达式。它也可作为一个简要介绍了卡尔曼滤波算法GPS和学习它的意思。在为EKF的例子，我们提供的原始资料，同时使用的定位扩展卡尔曼滤波和最小二乘法的任务和解决方案。 有四个M文件和两个数据文件。 Extended_KF.m包含EKF的函数体。另一些功能和GPS的示例数据文件。(This zip file contains a brief illustration of principles and algorithms of both the Extended Kalman Filtering (EKF) and the Global Position System (GPS). It is designed primarily to provide a relatively easy-to-implement EKF, in which we use symbol expressions as the form of input functions rather than the forbidding function handles. It also serves as a brief introduction to the Kalman Filtering algorithms for GPS and a mean of learning it. In the example for the EKF, we provide the raw data and solution for the positioning task using both EKF and the Least Square method. There are four m files and two data files. Extended_KF.m contains the function body of the EKF. Others are functions and data files for the GPS example.)

非常详尽的，关于概率统计以及各种不同分布的随机信号产生的MATLAB实现(Very detailed, and various statistics on the probability distribution of the random signals generated by MATLAB implementation)

用于计算rmse和r放的一个函数，只要输入预测值与实测值即可得到(A function used to calculate the rmse and R, just enter the predicted value and the measured values can be)