zatizeni_naprav_3M

《图像配准技术及其Matlab编程实现》一书的Matlab源码，有点检测、线检测、Hough变换、遗传算法、蚁群算法、Powell算法和插值算法等。("Image Registration and Matlab programming," a book of Matlab source code, a bit detection, line detection, Hough transform, genetic algorithm, ant colony algorithm, Powell algorithm and the interpolation algorithm etc.)

多种波束形成源代码，有很好的可扩展性 包括：直接相移波束形成，MVDR波束形成，music波束形成的源程序(A variety of beamforming source code, has very good scalability, including: direct phase-shift beamforming, MVDR beamforming, music source beamforming)

這是一個讓原始音訊可以再不改變音訊長度下，改變pitch的程式，因為如果音訊用resample，雖然可改變其音訊頻率音高，但是卻會有拉長音訊的副作用，因此設計了一個可以改善其缺點的小方法(實做paper ）(This is an original audio so that you can no longer change the audio down the length of the program to change the pitch because if the audio with resample, although it can change the pitch of the audio frequency, but the audio will be stretched side effects, and thus can improve the design of a small way shortcomings (real do paper))

可以实现任何一个哈密顿图的最短路径，从而可以方便的计算出最短路径，获得更大的经济效益(Can achieve any of the shortest Hamiltonian path, which can easily calculate the shortest path to greater economic efficiency)

英国设菲尔德大学开发的遗传算法工具箱以及雷英杰老师编写的<<matlab遗传算法工具箱及其应用>>中的例子源程序,对一些错误进行了修改,并调试成功.(Britain developed at the University of Sheffield, the genetic algorithm toolbox and Lei Yingjie prepared by the teacher)

恒虚警率目标检测,计算雷达影像CFAR 阈值，达到雷达影像目标检测的目的(calculates classical radar CFAR threshold for 0-mean AWGN.classical Neyman-Pearson detection threshold for radar detection under additive Gaussian white noise criterion and specifid false alarm probability.)

Huffman编码的MATLAB程序计算平均码长 和计算编码效率(Huffman coding MATLAB program)

machine arm PID Iterative learning control(machine arm PID Iterative learning control)

元胞自动机 实现金属氧化过程 很实用的 (The cellular automata metal oxidation)

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.)