kron

可以实现单极性双极性在不同信噪比的条件下对误码率的比较。(BER Comparison)

列主元消去法，可以计算出LU矩阵和方程组的解，已经验证可以运行。(Main-element elimination method, LU matrix can be calculated and the equations, has been demonstrated to run.)

Computed Radiography Overview Acceptance Testing Quality Control

power system stability equal area matlab code

在1x1的单位矩形中随机部署传感器节点，而且假设每个节点的通信半径一样，要求利用蒙特卡洛算法进行1000次试验分别模拟出连通率随节点数增加以及通信半径增加的变化趋势。(Random units deployed in 1x1 rectangular sensor nodes, and assumed that the communication radius of each node, requires the use of Monte Carlo algorithm to simulate the 1000 trials were increased with the number of nodes increased connectivity and communication radius increasing trends.)

matlab程序例题,相当不错,绝对的经典,可以下下来看看,大家相互交流交流(Example matlab program, pretty good, definitely a classic, you can look down under, we exchange the exchange of)

source code matlab for image by using imageprocessing

alamouti方案的误比特率仿真 包含无分集，发射分集(2Tx, 1Rx)，发射分集(2Tx, 2Rx)，MRC接收分集 (1Tx, 2Rx)的误比特率曲线 在matlab r2010b 中已运行通过。(alamouti program the mistakenly bit rate simulation contains no diversity transmitter sub-sets (2Tx, 1Rx) emission sub-set (2Tx, 2Rx) MRC receiving sub-set (1Tx, 2Rx) the incorrect bit rate curve matlab r2010b has run through.)

直线感应电机的 matlab的pid控制 观察其稳定性(PID control of lin Observe the stabilityear induction motor matlab )

本文针对SLAM算法中数据关联过程，提出了一种简单易行的改进方法，将欧氏距离与马氏距离结合用于数据关联。算法不必计算地图所有特征与所有量测之间的马氏距离，而是首先利用相对简单的欧氏距离计算缩小了待关联特征的搜寻范围。利用人工合成数据的仿真结果表明，改进后的数据关联方法可以大幅减少系统计算量，提高关联效率，且不会造成错误关联的增加。(This article SLAM algorithm for data association process, a simple method to Euclidean distance combined with the Mahalanobis distance for data association. Algorithms do not have to calculate all the characteristics of the map with all measurements between the Mahalanobis distance, but the first to use a relatively simple calculation of Euclidean distance to be associated characteristics of narrowing the search. The use of synthetic data simulation results show that the improved methods of data association can significantly reduce the system to calculate the volume and improve the efficiency of association, and will not lead to errors associated with an increase.)