boshuxingcheng

system identification with or without noise

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

一个蚂蚁系统，使用了maxmin改进方法(An ant system, using the maxmin Improvement)

用MATLAB编程智能车的自动寻迹程序，让小车自动寻路(MATLAB programming intelligent automatic car tracing program, let the car to be automatic pathfinding )

模拟退火算法，经过调试可以运行，效果不错(simulated annealing algorithm which has been tested with good performance)

说明：  实验3 离散系统的差分方程 能够帮助实现信号与系统作业习题和相关方程解法(Experiment 3, differential equations discrete signals and systems can help achieve operational exercises and related equations for)

说明：  对输入的信号计算其的分形维数，用以判断信号的复杂度(The input signal to calculate the fractal dimension of complexity to determine the signal)

POLYNOMIAL RST CONTROL OF DFIG

Optimal power flow with Matlab codes

神经网络迭代法，数据量不大，用于图像压缩(Neural network iteration method, the data volume is not large, used for image compression)