Project1

根据BP算法在MATLAB上实现，无需调用其NNET工具箱(According to BP algorithm in MATLAB to achieve, without calling its NNET Toolbox)

图像清晰度分析，基于平均值法，数值模拟，matlab(Image resolution analysis, based on average method, numerical simulation of matlab)

将图像分为16*16的分块进行计算,稀疏矩阵采用DCT矩阵，观测矩阵采用高斯随机矩阵，重构采用OMP算法,对256*256大小的8bit灰度lena图像进行仿真( )

This is a PDF file abut pattern clasification

随机子空间的matlab主程序代码，可以实现高精度的信号辨识。按照《基于随机子空间和最小二乘法的介质损耗角测量方法》、常军博士论文《随机子空间方法在桥梁模态参数辨识中的应用研究》编写。(Stochastic subspace matlab main code, you can achieve high-precision recognition. Accordance with the " stochastic subspace-based least-squares method and dielectric loss angle measurement methods" , regular army doctoral thesis " stochastic subspace identification of modal parameters of the bridge in the applied research" to write.)

亚波长抗反射结构图，可以显示投射率的变化大小(subwavelength antireflect)

TDOA/AOA定位的扩展卡尔曼滤波定位跟踪算法Matlab源码(TDOA/AOA positioning of the extended Calman filter positioning tracking algorithm, Matlab source code)

基于matlab采用匹配滤波器实现的PN码捕获与跟踪，对学习PN码捕获的朋友很有帮助(Matlab using matched filter based on the PN code acquisition and tracking, PN code acquisition in learning helpful friend)

face detected in matlab SVM algorithm

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.