zern1

用Matlab实现Kuwahara滤波。(Use Matlab to implement Kuwahara filter.)

基于matlab将商标与文字分割，选定阀值，先进行次分割，在进一步优化(Matlab-based trademarks and text segmentation, the selected threshold, the first for sub-division, in further optimization)

基于matlab的串口通信GUI程序，含matlabGUI界面，可实现数据绘图，数据保存。(Matlab GUI-based serial communication program, including matlabGUI interface, data mapping, data retention.)

外文资料里面的源代码，现代信号处理中谱估计在matlab中的使用，预报误差法参数辨识-松弛的思想。( Foreign materials inside the source code, Modern signal processing used in the spectral estimation in matlab, Prediction Error Method for Parameter Identification- the idea of relaxation.)

使用CMakeList重新组织的SBA，即稀疏矩阵光束法平差算法，希望对大家有用(Use CMakeList reorganize the SBA, namely sparse matrix bundle adjustment algorithm, we hope to useful)

说明：  分支定界法（branch and bound）是一种求解整数规划问题的最常用算法。这种方法不但可以求解纯整数规划，还可以求解混合整数规划问题。分支定界法是一种搜索与迭代的方法，选择不同的分支变量和子问题进行分支。 对于两个变量的整数规划问题，使用网格的方法有时更为简单。 [1] 通常，把全部可行解空间反复地分割为越来越小的子集，称为分支；并且对每个子集内的解集计算一个目标下界（对于最小值问题），这称为定界。在每次分枝后，凡是界限超出已知可行解集目标值的那些子集不再进一步分枝，这样，许多子集可不予考虑，这称剪枝。这就是分枝定界法的主要思路。(Branch and bound method is one of the most commonly used algorithms to solve integer programming problems. This method can solve not only pure integer programming but also mixed integer programming. Branch and bound algorithm is a method of search and iteration, which selects branches with different branch variables and sub problems. For integer programming problems with two variables, the grid method is sometimes simpler[ 1] Generally, all feasible solution spaces are divided into smaller and smaller subsets repeatedly, which is called bifurcation; And a lower bound of the objective (for the minimum value problem) is calculated for the solution set in each subset, which is called the bound. After each branch, those subsets whose bounds exceed the objective value of the known feasible solution set will not be further branched, so many subsets can not be considered, which is called pruning. This is the main idea of branch and bound method.)

matlab作图程序总汇，相当的好，包含matlab 源程序与课件(matlab plot summary procedure, rather good, and courseware that contains the source code matlab)

绘出DSB解调器的输出并给出功率为其0.001，0.01，0.05，0.1和0.3倍的白高斯噪声存在的情况下解调器的输出(Mapped DSB demodulator output and gives power to its 0.001,0.01,0.05,0.1 and 0.3 times the white Gaussian noise exist demodulator output)

基于压缩感知的DOA估计，比较了OMP与L1范数的性能(DOA estimation based on compressed sensing, compare the performance of OMP and L1 norm)

遗传算法优化多峰函数，最优值约在38.8左右，亲测可用(Multimodal function optimization genetic algorithm, the optimal value of about 38.8 or so, pro-test available)