genetic-algorithm_Matlab

说明：  bpsk仿真中间有两个方面的内容，很好的仿真软件(There are two files in the zip folder. bpsk_spread.m and jakesmodel.m Steps for simulation: 1] Run jakesmodel.m first 2] Then run bpsk_spread.m . 3] Note that during the first run bpsk_spread.m has no rayleigh fading.This is because the corresponding code has been commented 4] The resulting performance is stored in BER_awgn. 5] Now uncomment the Rayleigh Fading code in bpsk_spread.m file. 6] Same time comment BER_awgn (line 112) and uncomment BER_ray variable. 7] Run the simulation. )

求解Lambert问题。 输入：轨道上两个点的位矢R1、R2，以及从R1到R2所用的时间t(缺点是脉冲太大)。 输出：质点在R1端点的速度V1，质点在R2端点的速度V2. 此函数用于：在给定轨道上两个点的位矢R1、R2，以及从R1到R2所用的时间t。求解V1、V2。再调用前面的函数就可以确定轨道根数，及任意时刻质点的状态。(To solve the Lambert problem. Input: track two-point position vector R1, R2, and R1 to R2 used in the time t (The disadvantage is that the pulse is too large). Output: particle R1 endpoint speed V1, the particle in the R2 endpoint speed V2. This function is used: two points in a given orbit position vector R1, R2, and from R1 to R2 with the time t. Solve the V1 and V2. And then call the previous function can determine the orbital elements, and any moment of the particle' s state.)

压缩感知算法,提出了一种新型的信道估计算法(compressed sensing although，A novel channel estimation algorithm is proposed)

说明：  LDPC 编解码可以在matlab上成功运行(LDPC codec can run successfully in MATLAB)

常用的一些图像处理Matlab源代码，包含很多常用的比较基础的处理算法(Some commonly used image processing Matlab source code, including many commonly used basis of comparison of the processing algorithms)

Gabor wavelet Image retrieval

bus viberation in matlab codes

Core M3直接操作寄存器控制GPIO的用法。(Core M3 directly manipulate registers control the GPIO usage.)

OPTICAL FLOW METHOD FOR OBJECT TRACKING OF MOVING OBJECTS

说明：  模糊综合评判计算程序 模糊综合评判的过程：1、灰色关联分析，求权重（程序见Relation）；2、模糊聚类分析，划分等级（程序见F_class）；3、隶属度计算，求隶属函数（程序见Subjection和subject）；4、模糊综合评判，计算各单元等级（程序见F_judge）。(Fuzzy comprehensive evaluation matlab code The process of fuzzy comprehensive evaluation: 1. Grey relational analysis to get weight (see Relation for program); 2. Fuzzy clustering analysis to divide ranks (see F_class for program); 3. Membership degree calculation to get membership function (see Subjection and subject for program); 4. Fuzzy comprehensive evaluation to calculate each unit grade (see F_judge for program).)