boshutu

RSS to find location

companding technique for papr

red and wred algorithms in matlab for networking

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

最短路dijkstra问题，简单易懂的matlab程序(Most short-circuit the dijkstra problems, and to understand the matlab program)

利用MATLAB 软件中的GUI人机交互工具，开发的一款传统的小游戏俄罗斯方块。

本程序功能为计算一阶双曲型偏微分方程的初值问题,采用Lax-Friedrichs格式计算。(The program features to calculate the first order hyperbolic partial differential equations of the initial value problem, calculated using the Lax-Friedrichs format.)

说明：  matlab一般不能解整数规划，现提供一个matlab编写的解整数规划的函数。(matlab solutions of integer programming in general should not now prepared to provide a solution matlab a function of integer programming.)

RAYTHEON SONAR FUNDAMENTALS

matlab anisodiff各向异性滤波算法(matlab anisodiff anisotropic filtering algorithm)