资源列表
beiBao01
- 免疫克隆解决01背包问题，将免疫概念及其理论应用于遗传算法，在保留原算法优良特性的前提下，力图有选择、有目的地利用待求问题中的一些特征信息或知识来抑制其优化过程中出现的退化现象，这种算法称为免疫算法(Immune Algorithm) IA。人工免疫算法是一种具有生成+检测 (generate and test)的迭代过程的群智能搜索算法。从理论上分析，迭代过程中，在保留上一代最佳个体的前提下，免疫算法是全局收敛的。(Immune clone solves 01 knapsack problem
Untitled1
- 扫地机器人随机移动实现全覆盖打扫，简易Matlab代码(Sweeping robot moves randomly to achieve full coverage cleaning, simple Matlab code)
Hologram
- 全息照相在记录物体振幅的同时，还记录了光的相位信息。本代码用实现了全息物体的记录与再现。(The hologram records not only the amplitude of the object, but also the phase information of the light. This code realizes the recording and reproduction of holographic objects.)
aco
- 采用改进的蚁群智能算法，得到车辆最短路径问题快速有效的局部最优解。(The improved ACO to obtain the shortest path problem vehicle fast and effective local optima.)
ALmethod
- 采用弧长法通过matlab编程求解非线性方程数值解(MATLAB code solving 1D nonlinear equation with the arch-length method.)
lvboeg
- 滤波的例子，包括低通、均值滤波，和简单的维纳滤波、自适应滤波，适合初学者学习。(Examples of filtering, including low-pass, mean filtering, and simple Wiener filtering, adaptive filtering, are suitable for beginners to learn.)
KKdV_BenWonsaijiai
- 非线性KdV方程的高精度紧致差分格式的MATLAB程序(matlab code of high accuracy compact finite difference scheme for nonlinear KdV equation)
hungary
- 程序实现了匈牙利算法应用于指派问题，输入指派成本矩阵C，给出最小成本及使得成本最小的最优指派(Input the assignment cost matrix C, the program will obtain the least cost and the optimal assignment vector.)
雷达CFAR恒虚警检测一维蒙特卡洛仿真
- 雷达恒虚警检测（CFAR）一维距离像蒙特卡洛仿真，探究不同信噪比下CFAR检测概率，在一维CFAR基础上修改程序得到。参考《雷达信号处理基础》一书。(One dimensional range profile Monte Carlo simulation of CFAR is used to explore the probability of CFAR detection under different signal-to-noise ratio. The program is modifie
瑞利衰落模型的MATLAB实验
- 瑞利衰落模型的MATLAB实验，适合感兴趣的学习者学习，可以提高自己的能力，大家可以多交流哈(The MATLAB experiment of Rayleigh fading model is suitable for interested learners to learn, improve their ability, and let them communicate more)
frft code
- 对二维图像去噪，使用分数阶傅里叶变换算法。(For two-dimensional image denoising, fractional Fourier transform algorithm is used.)
对统计数据进行威布尔分布的估计
- matlab开发用于对统计数据进行威布尔分布的估计，并对其进行三参数的评估与计算。(Matlab is developed to estimate the Weibull distribution of statistical data, and to evaluate and calculate three parameters.)