miaoshuhanshufa

ekf在无源导航中的应用，涉及到了cv模型的仿真(EKF passive navigation in the application, relates to the cv model simulation)

子载波的分配 考虑每个带宽的大小 及子信道的噪声 最后得出每个基站到用户的分配(Consider the allocation of subcarriers for each channel size and bandwidth of the noise and came to the conclusion of each base station to the user' s allocation)

A hybrid PSO algorithm

说明：  用MATLAB对一语音信号进行小波分解，分别用强阈值，软阈值，默认阈植进行消噪处理。(MATLAB to a voice signal wavelet decomposition, respectively intensity threshold, soft threshold, the default threshold for planting Denoising.)

层次分析 w0为准则层权重，w1为方案层权重， ts为总权重(Analytic Hierarchy guidelines layer weights, w1 program layer weights, ts total weights w0)

Matlab code of volterra series.This is useful in generating volterra series identification toolbox in matlab.There are linked files for generating volterra series.

基于小波变换的图像去噪的matlab程序的源代码，很好用！(based on wavelet transform image denoising the Matlab program's source code, easy to use!)

针对二维矩形条带装箱问题提出了一种启发式布局算法，即底部左齐择优匹配算法（lowest—level left align bestfit，简称LLABF）．LLABF算法遵循最佳匹配优先原则，该原则综合考虑完全匹配优先、宽度匹配优先、高度匹配优先、组合宽度匹配优先及可装入优先等启发式规则．与BL（bottom-left），IBL（improved-bottom-left）与BLF（bottom—left-fill）等启发算法不同的是，LLABF能够在矩形装入过程中自动选择与可装区域匹配的下一个待装矩形．计算结果表明，LLABF结合遗传算法（genetie algorithm,简称GA）解决二维条带装箱问题更加有效．(A heuristic placement algorithm for two-dimensional rectangular strip packing problem is proposed, which is called bottom-level left align best fit algorithm (LLABF). Different from BL (bottom-left), IBL (improved-bottom-left) and BLF (bottom-left-fill) heuristic algorithms, LLABF can automatically select the next rectangle to be loaded that matches the mountable region during the rectangular loading process. Genetie algorithm (GA) is more effective to solve the two-dimensional strip packing problem.)

说明：  以PSO与三次样条插值结合的移动机器人路径规划算法，主函数为pso.m(Mobile robot path planning algorithm combining PSO and cubic spline interpolation, the main function is pso.m)

霍夫变换的令一种算法，对于直线检测效果很好(Hough transform to make an algorithm that works well for line detection)