DE多目标程序

很好的FEM（有限元）matlab工具包(good FEM (Finite Element) Matlab Kit)

自适应波束行成——最小二乘法，根据得到的波束图判断到达波的方向(Adaptive beam-line- on the least square method, according to the obtained beam pattern to determine the direction of wave)

CORRNER DETECTION IN IMAGE

一种带极值扰动的简化粒子群优化算法。算法思想来自中国人，本人自己编的程序(A disturbance with extreme simplification of particle swarm optimization. Algorithm ideas come from the Chinese, I own series of programs)

New image point brightenss convolution of template with image

可以完成地震记录的合成，实现地震记录的正演模拟(Synthetic seismogram can be done to achieve forward modeling of seismic records)

各种加权下的波束图，包括 Uniform , Cosine , Hamming , Blackman 四种加权窗的波束形成算法(Under various weighted beam pattern, including the ' Uniform' , ' Cosine' , ' Hamming' , ' Blackman' four kinds weighted window Beamforming Algorithm)

说明：  无约束一维极值问题中的斐波那契法，例程可调(Unconstrained extremal problem in one-dimensional Fibonacci method, routine adjustable)

In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields.

基于EKF的雷达与红外数据融合，通过状态向量融合与量测融合两种方法对多目标进行跟踪(EKF-based data fusion and infrared radar, through state vector fusion and measurement fusion of two methods for multi-target tracking)