MELP_m

用matlab实现的彩色车牌分割识别程序,非常实用 附带图片 (Matlab implementation of the color plates with separate identification procedures, with very useful pictures)

leetcode的题目详解，希望对广大使用leetcode刷题的童鞋有帮助。(Detailed leetcode topic, I hope the majority of questions using leetcode brush shoes help.)

adaboost算法代码可以在matlab中运行等等。。。。。。。。。。。(adaboost algorithm code)

matlab上通过GUI实现神经网络的实例(GUI netural network experiment.)

基于卡尔曼滤波和粒子滤波的简单比较，用于高机动目标时时定位，以减少精度损失来换取目标跟踪定位时时性。(Relatively simple Kalman filter and particle filter-based positioning for high maneuvering targets time to time, in order to reduce the loss of precision target tracking in exchange for sex time to time.)

用MATLAB产生高斯白噪声的算法。该历程用的是产生标准正态分布的高斯白噪声(Use MATLAB to create Gaussion White Noise)

在图论的最短路问题中，我们经常用到floyd和Dijkstra来解决问题(In graph theory, shortest path problem, we often use the floyd and Dijkstra to solve the problem )

仿真程序：首先需要用一个随机发生器产生（0.1）内的均匀随机数，然后再将该序列映射到对应的幅度电平｛Am｝。然后将这个范围再分成4个相等的区间，这些子区间分别对应于4个信号比特的符号00，01，10，11。检测器观察到r=Am+n，并且计算r和4种可能传输的信号幅度之间的距离，它的输出Bm就是相应于最小距离的信号电平。Bm与真正的的传输信号幅度比较，差错计数器用来对检测器产生的差错计数。(Simulation program: first need to use a random generator (0.1) the uniform random number, then the sequence is mapped to the corresponding amplitude level {Am}. Then this range has been divided into four equal intervals, these sub-intervals corresponding to four signal bits of the symbol 00,01,10,11. Detector observed r = Am+ n, and calculate r and 4 possible transmission distance between the signal amplitude, its output corresponding to the minimum distance Bm is the signal level. Bm and the real rate of transmission of the signal comparison, error detection counter is used to generate the error count.)

kaiser窗函数的用法，这是一个资料上的，经过验证了，希望帮得到你。(usage of the kaiser window function, which is an information, after the verification, and hope to help get you.)

该程序是一个关于基于高阶累积量的自然梯度盲源分离算法，非常简单(Cumulant-based blind source separation of natural gradient)