examples

matlab版的图像配准程序，计算图像的线性变换和输出图像的大小(matlab version of the image registration procedures, the calculation of the linear image transformation and the size of output image)

Minimum shift keying modulation

均值背景建模，包含视频！效果还可以，背景建模的还是不错的！(Mean background modeling, including video! Effect can be, background modeling is good!)

creating animation in matlab

这是huang的eemd程序，将白噪声加入到了经验模态分解当中，一定程度上抑制了模态混合。(This is huang s emd program, the white noise is added to the empirical mode decomposition which suppress modal mix to some extent.)

对信号进行频谱分析及滤波，车牌识别定位程序的部分功能，利用贝叶斯原理估计混合logit模型的参数，脉冲响应的相关分析算法并检验，用于特征降维，特征融合，相关分析等,有较好的参考价值，有CDF三角函数曲线/三维曲线图，数值分析的EULER法。( The signal spectral analysis and filtering, Part of the license plate recognition locator feature, Bayesian parameter estimation principle mixed logit model, Related impulse response analysis algorithm and inspection, For feature reduction, feature fusion, correlation analysis, There are good reference value, There CDF trigonometric curve/3D graphs, EULER numerical analysis method.)

IDMA，Interleave Division Multiple Access，交织多址仿真。编码方式包括重复码，卷积码，turbo码。(IDMA, interleaved multiple access. Repetition code, convolutional code, turbo code are included.)

多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)

说明：  实现simulink三轴运动平台的运动仿真(Motion simulation of Simulink three-axis motion platform)

说明：  小波变换 (matlab的小波变换 )