Dijkstra

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 下文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 里面包括三个源程序，和一份实验报告，里面有算法的详细分析和情景假设。(Application of target tracking radar data processing background, that is the search radar to the target and record the location of the object data to the target location of the measurement data (referred to as Plot) for processing, automatic track formation, and the target in the next time to predict the location. Briefly discussed below, using Kalman filtering to predict a single target track, and the help of Matlab simulation tools, experimental results for evaluation. Which consists of three source code, and a test report, which has a detailed analysis of the algorithm and the scenario assumptions.)

1求矩阵中的 最大值 并返回所在的行数与列数。2判断一组数据满足什么分布，包括泊松分布、正态分布、卡方分布、T分布等。3 检验线性方程组 系数的输入是否有误。(1 find the maximum value and returns the matrix where the rows and columns. 2 to determine what set of data to meet the distribution, including Poisson, normal, chi-square distribution, T distribution. 3 Coefficient of linear equations test input is wrong.)

matlab file to compare the results of fft function of matlab with fft of xilinx core generator

音频信号的处理:导入一个时长若干秒的音频信号，得到该音频文件的频率fs和幅度A，显示信号的时域图和频谱图，加入频率为fs/3，幅度为2A的噪声，分析、显示并播放有噪声时时域图和频谱图，以及滤除噪声后的信号的时域图和频谱图。(Audio signal processing: Import a duration of several seconds of the audio signal to obtain a frequency fs, and the amplitude A of the audio file, the time-domain diagram of a display signal, and frequency spectrum, the frequency fs/3, amplitude noise 2A, analysis , display and playback of the noise always domain diagram and frequency spectrum, and the signal after the noise filtering time-domain diagram and spectrum FIG.)

说明：   在这个分支中，主要是对标准粒子群算法的惯性因子、收敛因子（约束因子）、“认知”部分的c1，“社会”部分的c2进行变化与调节，希望获得好的效果。(In this branch, mainly to the standard particle swarm algorithm of inertial factor, convergence factor (constraints), "cognitive" part of c1, "social" part of the c2 changes and adjustment, hope to get good results.)

matlab信号时域分解方法(TDD)，用于模态提取(matlab signal time domain decomposition method (TDD), for mode shapes extraction)

实现滤波器的功能，从而使有噪声的图像得以修复。(Realization of the filter function, so there is noise in the image can be repaired.)

Implementation Of LRI Learning Algorithm in Cellular Automata Matlab Code

一维信号小波变换滤波器matlab源代码，处理一维信号(One-dimensional wavelet transform matlab source code , one-dimensional signal processing)

说明：  遗传算法优化,经过matlab R2011b 测试可用(GA example.Untitle.m in the package is the main program)