savitzkyGolay

采用自编码器实现手写数字识别（matlab），是深度架构的一种。(Handwritten numeral recognition is realized by using the Auto-encoder (matlab), it is one of the deep structure.)

PSD estimation using ESPIRIT

以Griewank函数为测试对象,应用PSO算法优化求解(Use Griewank function for test object, apply PSO algorithm as the optimal solution )

Segmentation by growing a region from seed point using intensity mean measure

该算法是实现交叉分析表分析。包含卡方检验，似然比检验，交叉分析表，方向度量，对称度量。(The algorithm is to achieve cross-analysis table analysis. Contains the chi-square test, likelihood ratio test, cross analysis table, measure direction, symmetric metric.)

不确定多采样率min_max鲁棒预测控制Multirate min_max uncertainty Robust Predictive Control(Multirate min_max uncertainty Robust Predictive Control)

FDMA三路频分多址的MATLAB的Simulink软件包下的程序(FDMA three-way frequency division multiple access MATLAB Simulink package program)

该函数实现标准的常增益滤波算法，用于状态估计，目标跟踪(Alpfa beta filter)

根据采样定理对信号采样，之后依据采样值恢复原信号。恢复的信号基本一致，验证性(Signal is sampled according to the sampling theorem, and then restore the original signal based on sampled values. Recovered signal basically the same, confirmatory)

说明：  在学习优化算法的过程中，为快速了解算法求解过程，整理出这两个算法。通过蚁群算法和萤火虫算法对测试函数进行求解，以图片的形式展示算法迭代过程中蚂蚁或萤火虫的移动过程，了解算法特点。相对而言蚁群算法更快，但不一定能找到最优解。(By learning the optimization algorithm, the two algorithms are sorted out. The ant colony algorithm and the firefly algorithm are used to solve the test function. The moving process of the ant or firefly in the iterative process of the algorithm is shown in the form of pictures. To understand the characteristics of the algorithm, the ant colony algorithm is relatively faster, but it is not necessarily able to find the optimal solution.)