papers

两种目标类型有无脉冲积累的SNR相对检测距离的大小(Detection range With 7-pulse NCI and Single pulse)

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.)

程序模拟的是潜水艇这类大的铁磁性材料穿过海域对电磁场（地磁场）带来的变化以及如何通过物理手段消除这种变化(Program to simulate the submarine through the ferromagnetic material of such a large area of electromagnetic fields (magnetic field), and how the changes brought about this change through physical means to eliminate)

program for crossrelation

Knn Classifier used for Various classification purposes

具有特色的地震数据处理源码，由matlab语言编写，可用于各个版本的matlab(characteristics of the seismic data processing source code from Matlab language, can be used for all versions of Matlab)

光伏电池仿真模型 boost电路 MPPT为扰动观察法(PV MPPT boost circuit simulation model for the disturbance observation)

matlab code for Ncut segmentation algorithm

FCM Data set clustering using fuzzy c-means clustering. [CENTER, U, OBJ_FCN] = FCM(DATA, N_CLUSTER) finds N_CLUSTER number of clusters in the data set DATA. DATA is size M-by-N, where M is the number of data points and N is the number of coordinates for each data point. The coordinates for each cluster center are returned in the rows of the matrix CENTER. The membership function matrix U contains the grade of membership of each DATA point in each cluster. The values 0 and 1 indicate no membership and full membership respectively. Grades between 0 and 1 indicate that the data point has partial membership in a cluster. At each iteration, an objective function is minimized to find the best location for the clusters and its values are returned in OBJ_FCN.

Model Predictive Control Toolbox