bbs-SNR_Max

用MATLAB中Simlink工具箱对一类随机中立型时滞系统进行图像仿真.(Simlink toolbox with MATLAB, a class of stochastic neutral delay systems, image simulation.)

实现QAm和2psk调制 和解调 产生星座图。适合初学者学习参考用来进一步深化课本知识的理解(QAM mode and demode BPSK mode and demode)

Compute discrete fractional Fourier transform

利用罚函数法求解下列问题：求f=x1^2+4*x2^2的最小值，其中要满足：x1-x2-1≤0 -x1-x2+1≤0 x2-1≤0 (Using penalty function method to solve the following questions: o f = x1 ^ 2+ 4* x2 ^ 2 minimum value, which will meet: x1 x2-1-0 or -x1 x2+ 1 or 0- X2-1 or 0 )

磁力计校准的MATLAB程序，使用球体拟合，最优化参数设计(Magnetometer calibration MATLAB program, using sphere fitting, optimal design parameters)

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)

example of channel modeling

人脸识别一直是计算机视觉中的一个重要研究方向，本程序给出了人脸识别的一种主成分分析的实现方法(Face recognition in computer vision has always been an important research direction, this program gives recognition to the realization of a principal component analysis method)

用于Matlab计算迭代计算的，非常典型，还有完整的解释(Iterative calculation for Matlab, very typical, as well as a complete explanation)

说明：  TSP问题蚁群算法通用Matlab程序源码(Ant colony algorithm for TSP problem common Matlab source code)