obstacle avoidance

说明：  关于MIMO的信道容量仿真，包括容量计算及绘图 ，仅供参考。 (MIMO channel capacity on the simulation, including capacity calculations and drawings for reference only.)

在MATLAB 编程中输入和输出函数的应用方法。(the output and input functions in MATLAB.)

fuzzy code in matlab

Adaptive Filter_Simon Haykin_Matlab_code STBC

RRR-PRP机械杆组动力学仿真模型，里面有完整的仿真模型文件。(The RRR-PRP mechanical lever group dynamics simulation model, which has a complete simulation model file.)

本代码是matlab编写的用来实现矩阵分解的典型方法，来自于2014年cvpr的文章代码。(Matrix decomposition in cvpr 2014 about DAKM algorithm using matlab. The DAKM s algorithm is powerful for Matrix decomposition . Matrix decomposition in cvpr 2014 about DAKM algorithm using matlab. The DAKM s algorithm is powerful.)

运用MATLAB实现贷款按揭与保险产品模拟(A simulation of Mortgage and insurance products Coded by MATLAB)

pca+svm源代码（matlab） matlab代码，pca进行特征提取，svm进行分类(pca+ svm source code (matlab) matlab code, pca for feature extraction, svm classification)

An effective implicit time integration scheme was proposed for the fi nite element solution of nonlinear problems in structural dynamics. Various important attributes were demonstrated. In particular, it was shown that the scheme remains stable, without the use of adjustable parameters, when the commonly used trapezoidal rule results in unstable solutions. In this paper we focus on additional important attributes of the scheme, and specifi cally on showing that the procedure can also be effective in linear analyses. We give, in comparison to other methods, the spectral radius, period elongation, and amplitude decay of the scheme and study the solution of a simple ‘model problem’ with a very fl exible and stiff response.

Considering the complete process of surgery including the preoperative and postoperative stages, multiple resource constraints involved and the integration of surgical upstream and downstream resources, surgery scheduling was described as an extended multi-resource constrained flexible job-shop scheduling problem and an optimization approach was proposed based on an improved ant colony algorithm. A resource selection rule and strategy of overtime judging and adjusting was designed, and the scheduling process with the ant colony algorithm was realized. The case study shows that the improved ant colony algorithm proposed in this paper achieved good results in shortening total time and allocating resources for surgery scheduling