palmidpro

对基于粒子滤波的目标跟踪进行仿真，附带有最后仿真的视频。(Based on the target tracking particle filter are simulated, accompanied by the simulation of the video.)

认知无线电 通信原理 产生qpsk程序 并画出图像(qpsk program)

graphic user interface using matlab

说明：  这个代码是双重水印，采用MATLAB编写，两lsb dct 俩种方法。比较适合做小项目，或者入门看。(This code is dual watermark, using MATLAB to prepare, two lsb dct two ways. More suitable for small projects, or entry look)

It will the user to plot various graph with different x and y notations

双脉冲对消、单脉冲对消、实现动态目标检测中杂波对消(double cancele single cancele)

用matlab实现一种快速的模糊边界加强与识别的算法。参考文献 《The fast multilevel fuzzy edge detection of blurry images》(Using matlab to achieve a fast fuzzy boundaries strengthen and recognition algorithms. References- " The fast multilevel fuzzy edge detection of blurry images" )

基于MATLAB的递推最小二乘法辨识与仿真，很实用(MATLAB-based parameter identification and simulation, very useful)

Fast mex K-means clustering algorithm with possibility of K-mean++ initialization (mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael) - Accept single/double precision input - Support of BLAS/OpenMP for multi-core computation Please run mexme_yael_kmeans.m to compile mex-files (be sure that mex -setup have been done at least one) Run demo "test_yael_kmeans.m"(Fast mex K-means clustering algorithm with possibility of K-mean++ initialization (mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael) - Accept single/double precision input - Support of BLAS/OpenMP for multi-core computation Please run mexme_yael_kmeans.m to compile mex-files (be sure that mex-setup have been done at least one) Run demo "test_yael_kmeans.m")

说明：  使用四种方法进行鸢尾花分类：最小距离分类器，K 近邻法，感知器，Fisher 准则。(Four methods are used to classify iris: minimum distance classifier, K-nearest neighbor method, perceptron and Fisher criterion.)